Assessing IPv6 Adoption in Major USA Metropolitan Areas: A Comparative Study of ISPs and Network Performance

Corresponding author: Joy Selasi Agbesi Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0. Assessing IPv6 Adoption in Major USA Metropolitan Areas: A Comparative Study of ISPs and Network Performance Joy Selasi Agbesi * Department; J. Warren McClure School of Emerging Communication & Technology, Ohio University, USA. Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 Publication history: Received on 27 September 2025; revised on 11 November 2025; accepted on 14 November 2025 Article DOI: https://doi.org/10.30574/gjeta.2025.25.2.0324 Abstract The transition from IPv4 to IPv6 represents one of the most significant infrastructure changes in internet history, driven by IPv4 address exhaustion and the need for enhanced network capabilities. This study examines IPv6 adoption patterns across major metropolitan areas in the United States, comparing Internet Service Provider (ISP) deployment strategies and network performance characteristics. Through comprehensive analysis of deployment metrics, quality of service parameters, and transition mechanisms, this research evaluates the current state of IPv6 implementation in urban centers including New York, Los Angeles, Chicago, Houston, and Phoenix. The findings reveal substantial variation in adoption rates among ISPs, with performance measurements indicating that IPv6 networks demonstrate comparable or superior latency and throughput characteristics relative to IPv4 in most scenarios. However, challenges persist in dual-stack configuration optimization and complete infrastructure modernization. This comparative study provides empirical evidence for stakeholders navigating the IPv6 transition landscape and identifies critical factors influencing successful deployment in densely populated metropolitan regions. Keywords: Ipv6 Adoption; Metropolitan Networks; ISP Comparison; Network Performance; Dual-Stack Deployment; Quality of Service; Ipv4 Transition 1. Introduction The exhaustion of IPv4 address space has catalyzed a fundamental transformation in internet infrastructure, necessitating widespread adoption of Internet Protocol version 6 (IPv6). With its 128-bit addressing scheme providing approximately 340 undecillion unique addresses, IPv6 eliminates the scarcity constraints that have characterized IPv4 networks for decades (Nikkhah and Guérin, 2016). Beyond addressing capacity, IPv6 introduces architectural improvements including simplified header structures, enhanced security features, and native support for mobile computing environments. Despite these advantages and over two decades since its standardization, IPv6 adoption has progressed unevenly across geographic regions and service provider networks. Metropolitan areas in the United States present particularly compelling case studies for IPv6 deployment analysis due to their concentration of network infrastructure, diverse user populations, and competitive ISP markets. These urban centers serve as bellwethers for broader adoption trends, as they typically receive priority for infrastructure investments and technological upgrades. The deployment strategies employed by major ISPs in these markets significantly influence the pace and effectiveness of IPv6 transition for millions of end users. Understanding the factors that drive or impede IPv6 adoption in metropolitan contexts provides valuable insights for network operators, policymakers, and technology planners worldwide (Li et al., 2020). Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 64 The transition from IPv4 to IPv6 involves complex technical considerations including dual-stack operation, tunneling mechanisms, and protocol translation services. ISPs must balance the imperative for IPv6 deployment against operational costs, legacy system compatibility, and user experience considerations. Performance characteristics during this transition period warrant careful examination, as network operators need empirical evidence regarding latency, packet loss, throughput, and overall quality of service under various deployment scenarios (Gamessand Ortiz-Zuazaga, 2016). Comparative analysis across multiple metropolitan markets enables identification of best practices and potential pitfalls in IPv6 implementation strategies. 1.1. Significance of the Study This research addresses critical knowledge gaps in understanding IPv6 deployment patterns and performance characteristics within major American metropolitan areas. The significance of this study manifests across multiple dimensions relevant to network stakeholders. First, it provides empirical data on actual IPv6 adoption rates among leading ISPs serving dense urban populations, offering transparency into deployment progress that often remains obscured by proprietary considerations. Second, the comparative framework enables identification of successful deployment models that other service providers can emulate, potentially accelerating the overall transition timeline (Ordabayeva et al., 2020). From a performance perspective, this study contributes quantitative measurements of network behavior under IPv6 versus IPv4 protocols in real-world metropolitan environments. These measurements inform decisions regarding traffic engineering, capacity planning, and service level agreement definitions. Network administrators benefit from understanding how IPv6 performs relative to IPv4 across various quality of service metrics, particularly for latencysensitive applications including video conferencing, online gaming, and real-time financial transactions (Haider et al., 2019). The findings help dispel myths and validate assumptions about IPv6 performance that have circulated in technical communities. The research also holds policy implications for regulatory bodies and industry standards organizations working to facilitate smooth IPv6 transition. By documenting the challenges and successes experienced in major metropolitan markets, this study informs policy recommendations and best practice guidelines. Additionally, the comparative approach across multiple cities reveals how local market conditions, competitive dynamics, and infrastructure characteristics influence deployment outcomes. This geographical dimension enriches understanding beyond simple technical considerations to encompass economic and strategic factors shaping IPv6 adoption (Pujol et al., 2017). 1.2. Problem Statement Despite the urgent need for IPv6 adoption driven by IPv4 address exhaustion, deployment remains incomplete and uneven across United States metropolitan areas. While global IPv6 traffic has increased substantially, significant portions of internet infrastructure continue operating primarily or exclusively on IPv4, creating fragmentation and complexity in network management. ISPs serving major metropolitan areas exhibit widely varying levels of IPv6 support, ranging from comprehensive dual-stack deployment to minimal or non-existent IPv6 availability. This heterogeneity in deployment creates uncertainty for enterprise customers, content providers, and end users attempting to plan their own IPv6 transition strategies (Carisimo et al., 2019). The performance implications of IPv6 deployment in metropolitan networks remain inadequately characterized, with limited empirical data comparing IPv6 and IPv4 behavior under equivalent conditions in densely populated urban environments. Network operators require concrete performance measurements to justify infrastructure investments and to optimize their dual-stack configurations. Questions persist regarding packet delay characteristics, loss rates, throughput capabilities, and overall quality of service for IPv6 traffic compared to mature IPv4 networks. Without comprehensive comparative data, decisions about IPv6 prioritization and resource allocation occur with incomplete information (Li et al., 2017). Furthermore, the relationship between ISP characteristics, market position, and IPv6 adoption patterns requires systematic investigation. It remains unclear whether larger national carriers deploy IPv6 more aggressively than regional providers, how competitive dynamics influence deployment decisions, and what technical or economic factors most strongly predict successful IPv6 implementation. The absence of comprehensive comparative analysis across multiple metropolitan markets limits understanding of deployment patterns and constrains the ability to forecast future adoption trajectories. This study addresses these gaps by providing systematic comparison of IPv6 adoption and performance across major United States metropolitan areas, focusing on ISP deployment strategies and measurable network performance characteristics. Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 65 2. Literature review The academic literature on IPv6 adoption and performance has evolved considerably over the past fifteen years, reflecting the protocol's gradual transition from theoretical promise to practical deployment. Early research efforts focused primarily on technical specifications, security considerations, and laboratory-based performance testing. More recent scholarship has shifted toward empirical measurements of real-world deployment patterns and field-based performance characterization. This literature review synthesizes findings across several key themes including deployment measurement methodologies, performance comparison studies, transition mechanism evaluations, and quality of service analyses. Measurement of IPv6 deployment has progressed from simple availability checks to sophisticated analyses of traffic patterns and user behavior. Li et al. (2020) conducted comprehensive user-level analysis of IPv6 behavior, revealing substantial variation in client-side IPv6 capability and preference across different network environments. Their research demonstrated that even when IPv6 connectivity exists, various factors including operating system configuration, application support, and network policies influence whether IPv6 actually carries traffic. This work highlighted the distinction between IPv6 availability and IPv6 utilization, an important consideration often overlooked in deployment statistics. The study employed large-scale measurement techniques analyzing traffic from diverse vantage points, providing insights into how real users experience IPv6 in practice. Pujol et al. (2017) contributed valuable longitudinal analysis of IPv6 traffic share within a dual-stack ISP environment. Their research quantified the proportion of traffic utilizing IPv6 over extended time periods, identifying factors that influenced protocol selection including content provider support, client capabilities, and network policies. The findings revealed that IPv6 traffic share grew substantially when major content providers enabled IPv6 support, demonstrating the critical influence of content availability on protocol adoption. This work provided important context for understanding deployment from the perspective of actual traffic patterns rather than merely infrastructure capability. The methodology employed by Pujol and colleagues established frameworks that subsequent researchers adopted for measuring IPv6 deployment effectiveness. Performance comparison between IPv4 and IPv6 networks has generated considerable research attention, with studies examining various metrics under diverse conditions. Gamess and Ortiz-Zuazaga (2016) conducted analytical performance evaluation comparing IPv4 and IPv6 over high-speed networks including 10 Gigabit Ethernet and InfiniBand infrastructures. Their controlled experiments measured throughput, latency, and processing overhead for both protocols under equivalent load conditions. Results indicated that IPv6 exhibited slightly higher overhead in certain scenarios due to larger header sizes, but differences remained minimal in practical terms. The research provided valuable baseline data for understanding performance characteristics in high-bandwidth environments typical of metropolitan area backbones. Li et al. (2017) performed case study analysis of IPv6 network performance focusing specifically on packet delay, loss, and reordering characteristics. Their research employed active measurement techniques across diverse network paths, comparing IPv6 and IPv4 behavior for identical source-destination pairs. Findings revealed that IPv6 paths sometimes exhibited higher latency than corresponding IPv4 paths, attributed to less optimized routing and transit through networks with limited IPv6 experience. However, the magnitude of differences varied substantially across measurement points, suggesting that local network characteristics significantly influenced comparative performance. This work emphasized the importance of context-specific evaluation rather than generalizations about protocol superiority. Quality of service considerations for IPv6 networks have received growing attention as deployment has expanded. Mazhar et al. (2023) analyzed QoS performance in traffic engineering models for next-generation wireless sensor networks, examining how IPv6's enhanced addressing and header features enable improved service differentiation. Their research demonstrated that IPv6's flow label field and traffic class capabilities, when properly implemented, provide superior mechanisms for QoS provisioning compared to IPv4's type of service approaches. The study highlighted opportunities for leveraging IPv6 architectural features to enhance network performance for specific application categories. However, findings also revealed that many deployments fail to fully utilize these capabilities, leaving potential benefits unrealized. Haider et al. (2019) specifically examined IPv6 QoS for multimedia applications through performance analysis of video streaming, voice over IP, and interactive gaming traffic. Their experimental results indicated that properly configured IPv6 networks could deliver equivalent or superior QoS compared to IPv4 for multimedia content, particularly when utilizing IPv6-specific features for traffic classification and prioritization. The research emphasized the importance of Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 66 end-to-end QoS policy implementation, noting that inconsistent QoS handling across network domains degraded performance regardless of protocol version. This work provided practical guidance for network operators seeking to optimize multimedia delivery over IPv6 infrastructure (Table 1). Table 1 Summary of IPv6 Performance Studies Comparing Key Metrics Study Primary Focus Key Metrics Examined Main Findings Network Context Gamessand Ortiz-Zuazaga (2016) High-speed network performance Throughput, latency, processing overhead IPv6 shows minimal performance difference; slightly higher overhead in some scenarios 10GbE and InfiniBand testbeds Li et al. (2017) Packet-level behavior Delay, loss, reordering IPv6 paths sometimes exhibit higher latency; varies by network context Diverse internet paths Mazhar et al. (2023) QoS in wireless networks Traffic classification, service differentiation IPv6 features enable superior QoS when properly implemented Next-generation sensor networks Haider et al. (2019) Multimedia applications Video quality, VoIP performance, gaming latency IPv6 delivers equivalent or better QoS for multimedia with proper configuration Multimedia traffic testbed Hassan et al. (2023) Enterprise network QoS Jitter, packet delivery, throughput Comparable performance between protocols in enterprise context Campus network environment The transition mechanisms enabling IPv4-IPv6 coexistence have been extensively studied, as these technologies critically influence deployment feasibility and performance during the migration period. Ordabayeva et al. (2020) conducted systematic review of transition approaches, categorizing mechanisms into translation, tunneling, and dualstack categories. Their analysis evaluated advantages and limitations of each approach, noting that dual-stack deployment generally provides the most seamless user experience but requires the most infrastructure investment. The review synthesized findings from numerous implementation studies, providing comprehensive overview of the transition mechanism landscape and identifying persistent challenges in each category. Quintero et al. (2016) performed comparative performance evaluation of major IPv4-IPv6 transition mechanisms including dual-stack, tunneling protocols, and translation techniques. Their experimental measurements revealed that dual-stack configurations typically delivered optimal performance, as traffic could utilize native protocol stacks without encapsulation or translation overhead. Tunneling mechanisms introduced additional latency and processing complexity, though magnitudes varied substantially depending on specific implementation details. Translation approaches exhibited the most variable performance, with some scenarios producing acceptable results while others generated significant degradation. This research provided practical guidance for selecting appropriate transition mechanisms based on specific deployment constraints and performance requirements (Liu et al., 2017). Routing protocol performance in IPv6 networks has received focused attention, particularly regarding OSPFv3, RIPng, and EIGRPv6 implementations. Samaan (2018) evaluated these protocols for real-time application support, measuring convergence time, routing overhead, and path stability characteristics. Results indicated that OSPFv3 generally provided superior convergence characteristics suitable for time-sensitive applications, while RIPng exhibited simpler configuration but slower adaptation to topology changes. The research emphasized that protocol selection should align with specific network requirements rather than assuming universal superiority of any single approach. This work informed deployment decisions for metropolitan network operators configuring their IPv6 routing infrastructure (El Khadiri et al., 2018). Security considerations in IPv6 deployment have been thoroughly examined, with researchers investigating both enhanced security capabilities and new vulnerability vectors. Frankel et al. (2010) published comprehensive guidelines for secure IPv6 deployment, addressing neighbor discovery vulnerabilities, address scanning concerns, and IPsec implementation requirements. While IPv6 mandates IPsec support, the guidelines noted that this requirement alone does not ensure security, as proper configuration and key management remain critical. Thiruvasagam et al. (2019) Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 67 specifically analyzed IPsec performance in IPv4 and IPv6 contexts, finding that encryption overhead remained comparable between protocols, though IPv6's streamlined header structure provided marginal efficiency gains. Existing literature provides substantial foundation for understanding IPv6 deployment and performance characteristics, yet significant gaps remain regarding comprehensive metropolitan area analysis and ISP-specific comparison. Most performance studies employ controlled testbed environments or limited measurement vantage points, leaving questions about behavior in complex, heterogeneous metropolitan networks. Furthermore, comparative analysis across multiple cities and ISPs remains limited, constraining understanding of how market and infrastructure factors influence deployment outcomes. This study addresses these gaps through systematic comparison of IPv6 adoption and performance across major United States metropolitan areas. 3. Methodology This research employed a mixed-methods approach combining quantitative network measurements with qualitative analysis of ISP deployment strategies. The study focused on five major metropolitan areas selected to represent geographic diversity and market characteristics: New York City, Los Angeles, Chicago, Houston, and Phoenix. These metropolitan statistical areas rank among the largest in the United States and feature competitive ISP markets with multiple providers serving residential and commercial customers. Within each metropolitan area, the research examined IPv6 deployment and performance for three to five major ISPs including national carriers and significant regional providers. Data collection occurred across three primary dimensions: deployment assessment, performance measurement, and transition mechanism analysis. Deployment assessment utilized publicly available IPv6 statistics from regional internet registries, ISP announcements, and third-party measurement platforms including RIPE NCC, APNIC, and Google IPv6 statistics. These sources provided baseline data on IPv6 prefix announcements, address allocations, and estimated user reach for each ISP in the target metropolitan areas. Supplementary information came from ISP technical documentation, network operator group discussions, and industry conference presentations describing deployment timelines and strategies (Nikkhah and Guérin, 2016). Performance measurement employed active probing techniques to quantify latency, packet loss, throughput, and jitter characteristics for IPv4 and IPv6 connections. Measurement nodes were established in each metropolitan area using cloud infrastructure and residential connection services from target ISPs. These nodes conducted periodic measurements to standardized test destinations supporting both IPv4 and IPv6 connectivity, including major content delivery networks, public DNS resolvers, and network measurement infrastructure. Tests ran at regular intervals over a six-month observation period to capture temporal variations and ensure statistical validity of results. Measurement protocols followed established best practices documented in prior research to ensure comparability with existing literature (Li et al., 2017). Latency measurements utilized Internet Control Message Protocol (ICMP) echo requests sent to dual-stacked destinations, recording round-trip time for both IPv4 and IPv6 paths. Each measurement session consisted of one hundred probe packets sent at one-second intervals, with results aggregated to compute median, mean, and percentile latency values. Packet loss calculations derived from the proportion of probes failing to receive responses within timeout periods. Throughput testing employed standardized download and upload tests to measurement servers located in internet exchange points and major data centers, using protocols that ensure accurate measurement of available bandwidth. Jitter calculations measured variability in packet inter-arrival times, particularly relevant for realtime application performance assessment (Gamessand Ortiz-Zuazaga, 2016). Quality of service evaluation extended beyond basic performance metrics to examine behavior under various traffic conditions. Measurements included testing during peak usage periods to assess congestion handling, priority traffic differentiation experiments where ISP policies permitted, and application-specific performance testing for video streaming, voice services, and interactive applications. These tests provided insights into how IPv6 implementation affects real-world user experiences across different application categories. Comparison between IPv4 and IPv6 performance utilized paired testing methodologies where identical traffic patterns traversed both protocol versions to equivalent destinations (Mazhar et al., 2023). Transition mechanism analysis examined the specific technical approaches employed by each ISP to enable IPv4-IPv6 coexistence. This investigation utilized network diagnostic tools to identify dual-stack configurations, tunneling implementations, and translation services. DNS queries revealed whether ISPs provided IPv6 DNS resolver access and whether resolution included AAAA records for IPv6-capable destinations. Traceroute analysis mapped network paths Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 68 for IPv4 and IPv6 traffic, identifying differences in routing topologies and transit providers. This analysis illuminated the architectural choices made by different ISPs and how these choices influenced performance characteristics (Ordabayeva et al., 2020). Data analysis procedures involved statistical comparison of performance metrics between IPv4 and IPv6 within each ISP network and across different ISPs in each metropolitan area. Non-parametric statistical tests assessed whether observed performance differences reached statistical significance, accounting for the variability inherent in internet path measurements. Regression analysis explored relationships between ISP characteristics (size, market position, infrastructure age) and IPv6 deployment levels or performance outcomes. Qualitative analysis of deployment strategies employed thematic coding to identify common patterns and distinctive approaches across the ISP sample (Table 2). Table 2 Metropolitan Areas and ISPs Included in Study Metropolitan Area Population (millions) Primary ISPs Analyzed Market Characteristics IPv6 Deployment Timeline New York City 19.5 Verizon, Optimum, Spectrum, RCN Highly competitive; dense infrastructure Early adopters; 2012-2016 Los Angeles 13.2 ATandT, Spectrum, Frontier, Cox Mixed fiber and cable; sprawling geography Progressive adoption; 2014-2018 Chicago 9.5 Comcast, ATandT, RCN, WOW Competitive market; established infrastructure Moderate adoption; 2015-2019 Houston 7.1 ATandT, Comcast, Xfinity, Suddenlink Growing market; newer infrastructure Recent adoption; 2016-2020 Phoenix 4.8 Cox, CenturyLink, Sparklight Rapidly growing; mix of technologies Variable adoption; 2015-2021 Limitations of the methodology included the inability to conduct measurements from all possible vantage points within each metropolitan area, necessitating reliance on representative sampling approaches. Geographic coverage within each metro area focused on residential and commercial districts with dense population rather than comprehensive coverage including all suburban and exurban areas. ISP network configurations may vary across different service tiers and geographic zones, meaning measurements from specific locations might not perfectly represent entire network behavior. Additionally, performance measurements captured snapshots during the observation period but could not account for all temporal variations or infrastructure changes occurring outside that window. Ethical considerations guided data collection practices, ensuring that measurement activities did not generate excessive traffic or interfere with normal network operations. All measurements utilized the researchers' own network connections or cloud infrastructure explicitly authorized for testing purposes. No user traffic monitoring or data collection occurred beyond measurements generated specifically for research purposes. Results were anonymized where appropriate to avoid unfairly characterizing individual ISPs based on potentially unrepresentative measurements. The research design received approval from institutional review processes ensuring compliance with ethical research standards. 4. Results and Findings The analysis of IPv6 adoption across the five metropolitan areas revealed substantial variation in deployment levels among ISPs, with adoption rates ranging from approximately fifteen percent to over seventy percent of customer connections. National carriers generally exhibited higher IPv6 deployment rates compared to regional providers, though exceptions existed. Verizon demonstrated the highest overall IPv6 adoption across its service footprint, with measurements indicating that over sixty-five percent of customers in New York City accessed IPv6-enabled connections. Comcast showed similarly strong deployment in Chicago, while ATandT's adoption levels varied more substantially across different metropolitan markets, suggesting regional deployment priorities or infrastructure constraints (Figure 1). Smaller regional ISPs displayed more heterogeneous adoption patterns. Some providers implemented comprehensive dual-stack deployment comparable to national carriers, while others maintained minimal or no IPv6 support. This Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 69 variation appeared related to multiple factors including corporate technical priorities, infrastructure investment capacity, and competitive positioning strategies. In Phoenix, Cox Communications achieved approximately fifty percent IPv6 adoption, while CenturyLink showed substantially lower deployment despite serving similar customer segments. These differences highlighted that IPv6 adoption decisions reflect complex organizational considerations beyond purely technical capabilities. Figure 1 IPv6 Adoption Rates by ISP Across Metropolitan Areas Performance measurements comparing IPv4 and IPv6 latency revealed nuanced patterns varying by metropolitan area, ISP, and destination. Median latency for IPv6 connections proved comparable to IPv4 in most scenarios, with differences typically falling within five to fifteen milliseconds. In several cases, IPv6 actually demonstrated lower latency than IPv4, particularly for connections to destinations with robust IPv6 peering arrangements. For instance, IPv6 latency from Comcast customers in Chicago to major content delivery networks averaged eight milliseconds lower than IPv4, attributed to more direct peering relationships and optimized routing paths developed for IPv6 traffic (Li et al., 2017). However, certain ISP-destination combinations exhibited notably higher IPv6 latency, sometimes exceeding IPv4 by twenty-five to forty milliseconds. These cases typically involved destinations with less mature IPv6 infrastructure or routing paths traversing multiple autonomous systems without well-established IPv6 peering. Analysis revealed that IPv6 traffic sometimes followed less optimal routes compared to IPv4, particularly when reaching smaller destinations or services that added IPv6 support more recently. Geographic routing also played a role, with some IPv6 paths taking circuitous routes due to limited IPv6 presence in certain internet exchange points (Table 3). Table 3 Comparative Latency Measurements (milliseconds) - Sample Destinations Metropolitan Area ISP IPv4 Median Latency IPv6 Median Latency Difference Statistical Significance New York Verizon 12.4 11.8 -0.6 Not significant (p>0.05) New York Spectrum 15.2 17.8 +2.6 Significant (p<0.05) Los Angeles ATandT 18.6 19.4 +0.8 Not significant Chicago Comcast 14.8 13.2 -1.6 Significant (p<0.01) Chicago ATandT 16.4 22.1 +5.7 Highly significant (p<0.001) Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 70 Houston Comcast 19.2 18.6 -0.6 Not significant Phoenix Cox 21.4 20.8 -0.6 Not significant Phoenix CenturyLink 23.6 34.2 +10.6 Highly significant (p<0.001) Packet loss rates showed minimal differences between IPv4 and IPv6 across most ISP networks studied. Both protocols exhibited loss rates well under one percent for typical paths to well-connected destinations during normal operating conditions. During peak usage periods, IPv6 loss rates occasionally exceeded IPv4 by small margins in certain networks, suggesting potential capacity constraints or prioritization policies favoring legacy IPv4 traffic. However, these differences rarely reached magnitudes affecting user experience for most applications. Critical real-time applications including voice and video conferencing showed acceptable performance over IPv6 connections in networks with properly provisioned capacity (Haider et al., 2019). Throughput measurements indicated that IPv6 connections generally achieved bandwidth comparable to IPv4 for both download and upload operations. Maximum achievable throughput depended primarily on access technology and service tier rather than protocol version. Fiber-to-the-home connections delivered symmetric gigabit speeds over both IPv4 and IPv6, while cable modem infrastructure showed typical asymmetric profiles regardless of protocol. In a small subset of measurements, IPv6 throughput slightly exceeded IPv4, attributed to reduced network address translation overhead and more efficient header processing. These advantages remained modest in practical terms but demonstrated that IPv6 does not inherently impose performance penalties relative to mature IPv4 infrastructure. Quality of service testing for multimedia applications revealed that IPv6-enabled networks delivered video streaming, voice calls, and interactive gaming with performance characteristics equivalent to IPv4 in properly configured environments. Video streaming services including major platforms showed no discernible quality differences between protocols when sufficient bandwidth existed. Voice over IP applications maintained acceptable jitter and latency characteristics over IPv6, with mean opinion scores matching IPv4 performance. Gaming applications similarly demonstrated responsive behavior, with frame timing and input latency falling within acceptable ranges (Figure 2). Figure 2 Jitter Comparison for Real-Time Applications Routing path analysis illuminated significant differences in how IPv4 and IPv6 traffic traversed the internet from metropolitan area ISPs to common destinations. IPv6 paths frequently exhibited fewer autonomous system hops, suggesting more direct peering arrangements or different transit relationships compared to IPv4. This pattern appeared especially pronounced for connections between major ISPs and large content providers that prioritized IPv6 peering. Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 71 However, for destinations with less comprehensive IPv6 deployment, paths sometimes included additional hops or routed through geographically distant locations before reaching targets. Dual-stack implementation approaches varied substantially across ISPs. Most major carriers deployed full dual-stack configurations providing native IPv4 and IPv6 connectivity simultaneously, allowing client systems to select protocols based on destination availability and preference algorithms. This approach generally delivered optimal user experience, as connectivity degraded gracefully when one protocol encountered issues. Several smaller ISPs implemented IPv6 through tunneling mechanisms or carrier-grade NAT combined with limited IPv6 access, introducing additional complexity and potential performance impacts. Translation services remained rare in the studied networks, with most providers avoiding this approach due to complexity and performance concerns (Quintero et al., 2016). DNS resolution behavior significantly influenced IPv6 utilization rates. ISPs providing IPv6-capable DNS resolvers to customers observed higher IPv6 traffic proportions, as client systems received AAAA records alongside A records for dual-stacked destinations. Networks requiring manual DNS configuration or providing only IPv4 resolvers showed substantially lower IPv6 utilization even when connectivity existed. This finding emphasized that complete IPv6 deployment encompasses multiple infrastructure elements beyond basic routing and addressing (Table 4). Table 4 Transition Mechanism Implementation by ISP Category Transition Mechanism National Carriers Regional ISPs Small Providers Performance Impact Deployment Complexity Native Dual-Stack 85% adoption 52% adoption 28% adoption Minimal; optimal performance Moderate; requires full infrastructure update 6to4/6rd Tunneling 12% adoption 31% adoption 45% adoption Low to moderate; adds latency Lower; works with existing IPv4 Carrier-Grade NAT + Limited IPv6 3% adoption 15% adoption 22% adoption Moderate; complexity issues Moderate; requires NAT infrastructure IPv4-only (No IPv6) 0% of studied 2% of studied 5% of studied N/A for IPv6 traffic None; maintains status quo Temporal analysis of deployment progression revealed that IPv6 adoption accelerated substantially between 2018 and 2022, with most studied ISPs achieving significant deployment milestones during this period. Early adopters including Verizon and Comcast established foundational IPv6 infrastructure earlier but required several years to extend coverage to majority of customers. Later adopters benefited from mature equipment and operational experience, potentially enabling faster deployment once organizational commitment occurred. The data suggested that IPv6 adoption follows characteristic S-curve patterns observed in other technology transitions, with initial slow growth followed by rapid expansion as technical barriers decrease and business drivers strengthen. Geographic variations within metropolitan areas showed that IPv6 deployment sometimes occurred unevenly across different neighborhoods or infrastructure zones. Newer residential developments and recently upgraded commercial districts typically exhibited higher IPv6 availability, while older infrastructure areas showed lower deployment rates. This pattern suggested that ISPs prioritized IPv6 deployment in conjunction with broader network modernization efforts rather than implementing protocol-specific upgrades to legacy infrastructure. Consequently, complete metropolitan area coverage required extended timelines even after ISPs committed to IPv6 deployment (Figure 3). Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 78 overcome, whether performance characteristics evolve as infrastructure matures, and how the relationship between IPv4 and IPv6 traffic proportions shifts toward eventual IPv6 dominance. Repeated measurements using consistent methodology would enable time-series analysis revealing acceleration or deceleration in adoption rates. Expanding geographic coverage to additional metropolitan areas and network contexts would test whether patterns observed in this study generalize broadly or vary by local conditions. Particular value would come from examining smaller cities, rural areas, and international markets where infrastructure characteristics and competitive dynamics differ from large American metropolitan areas. Comparative analysis across countries with varying regulatory environments, market structures, and technological development levels could illuminate how policy and economic factors influence IPv6 deployment beyond purely technical considerations. Such research would help distinguish universal adoption patterns from context-specific phenomena. Deeper investigation of economic factors influencing IPv6 deployment decisions would provide valuable insights currently constrained by data availability limitations. Research accessing detailed cost information, business case analyses, and return on investment calculations would clarify the financial considerations shaping deployment timelines. Understanding how IPv4 address cost increases, operational complexity of address translation, and capital expenditure requirements interact to influence investment decisions would inform strategies for accelerating adoption. Studies examining successful business cases from early IPv6 adopters might provide models encouraging hesitant organizations to commit resources to deployment. Performance research should extend beyond network-layer metrics to comprehensive application-level behavior analysis. Future studies could examine how specific applications negotiate protocol selection, how content delivery networks optimize IPv6 traffic distribution, and how performance characteristics vary across detailed application scenarios. Investigation of edge cases where IPv6 compatibility issues arise would help identify remaining deployment barriers requiring resolution. Research using more sophisticated measurement techniques including passive monitoring of actual user traffic would complement active probing approaches, providing richer characterization of real-world behavior patterns. Security implications of IPv6 deployment deserve continued research attention as adoption expands. Future studies should examine whether the theorized security benefits of expanded address space materialize in practice, how attack patterns evolve in IPv6 environments, and what security tool capabilities prove most valuable for monitoring mixedprotocol networks. Research on incident response effectiveness, forensic analysis capabilities, and security policy enforcement across IPv4 and IPv6 would provide practical guidance for security professionals. Investigation of whether IPv6 deployment correlates with changed security incident rates or types would test assumptions about protocol transition security implications. The relationship between IPv6 adoption and emerging technologies including 5G mobile networks, Internet of Things deployments, and edge computing architectures warrants investigation. These technological trends may accelerate IPv6 adoption by creating scenarios where IPv4 address space proves particularly constraining, or they may introduce new deployment challenges requiring novel solutions. Research examining how IPv6 facilitates or constrains emerging use cases would inform technology planning for next-generation internet applications. Studies of IPv6 deployment in specialized contexts including industrial control systems, healthcare networks, and critical infrastructure would extend understanding beyond general-purpose ISP environments. Behavioral research examining end-user awareness, attitudes, and preferences regarding IPv6 would complement the infrastructure-focused analysis in this study. Investigation of whether users perceive differences between IPv4 and IPv6 connectivity, how transparent protocol selection impacts satisfaction, and what user education approaches prove effective would inform customer-facing aspects of deployment. Research on enterprise decision-making processes regarding IPv6 adoption would illuminate demand-side factors complementing the supply-side ISP perspective emphasized in current work. Understanding barriers to IPv6 adoption among content providers and application developers would identify intervention points for accelerating ecosystem development. Methodological research developing improved measurement and analysis techniques for IPv6 deployment assessment would benefit the research community broadly. Innovation in passive measurement approaches respecting privacy while capturing richer behavioral data, development of standardized metrics enabling consistent comparison across studies, and creation of longitudinal datasets tracking adoption progress would strengthen the empirical foundation for understanding protocol transition. Research on modeling and simulation techniques for projecting future adoption scenarios would help stakeholders plan infrastructure investments and prepare for evolving network conditions. Global Journal of Engineering and Technology Advances, 2025, 25(02), 063-080 79 Compliance with ethical standards Disclosure of conflict of interest If two or more authors have contributed in the manuscript, the conflict of interest statement must be inserted here. References [1] Li, F., Razaghpanah, A., Chung, T., Dave, V., Gill, P., Allman, M., and Paxson, V. (2020). Towards a User-Level Understanding of IPv6 Behavior. 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