Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies最新文献

{"title":"ACACIA: Context-aware Edge Computing for Continuous Interactive Applications over Mobile Networks","authors":"Jung-Yon Cho, K. Sundaresan, R. Mahindra, J. Merwe, S. Rangarajan","doi":"10.1145/2999572.2999604","DOIUrl":"https://doi.org/10.1145/2999572.2999604","url":null,"abstract":"There is widespread agreement that future continuous interactive (CI) applications will require edge computing capabilities from mobile networks. There is also widespread expectation that the emerging 5G network architecture, with its constituent technology components, will be the context in which this will be realized. Indeed many of the components that will be part of such an environment have been studied in standalone manner. However, the question of whether an end-to-end combination of these components would satisfy application requirements, or indeed, how these components would be combined into service offerings by mobile network providers, have not been meaningfully addressed. Towards addressing these challenges, we propose ACACIA - a service abstraction framework that enables CI applications on edge clouds in mobile networks. Evaluation of our prototype implementation shows that our holistic approach provides a 70% end-to-end application level latency reduction when compared with existing cloud and mobile solutions.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116891137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ACM CoNEXT 2016 Student Workshop","authors":"R. Chang, H. Seferoglu, L. Vanbever","doi":"10.1145/2999572.3004861","DOIUrl":"https://doi.org/10.1145/2999572.3004861","url":null,"abstract":"The ACM CoNEXT 2016 Student Workshop is held in Irvine, California, USA on December 12, 2016 and co-located with the ACM 12th International Conference on emerging Networking Experiments and Technologies (CoNEXT 2016). The main objective of the workshop is to provide a platform for graduate students in the area of computer networks and communications to present their ongoing research efforts. The workshop is also a unique opportunity for students to network with other junior researchers as well as more experienced ones, receive constructive feedback, guidance, tips, and learn about cutting-edge research problems being tackled by the community. We have constructed an exciting program of 24 refereed presentations and posters, and an invited keynote talk (by Prof. Lixia Zhang, UCLA) that will give participating students an opportunity to hear from a senior researcher.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116112718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LossRadar: Fast Detection of Lost Packets in Data Center Networks","authors":"Yuliang Li, Rui Miao, Changhoon Kim, Minlan Yu","doi":"10.1145/2999572.2999609","DOIUrl":"https://doi.org/10.1145/2999572.2999609","url":null,"abstract":"Packet losses are common in data center networks, may be caused by a variety of reasons (e.g., congestion, blackhole), and have significant impacts on application performance and network operations. Thus, it is important to provide fast detection of packet losses independent of their root causes. We also need to capture both the locations and packet header information of the lost packets to help diagnose and mitigate these losses. Unfortunately, existing monitoring tools that are generic in capturing all types of network events often fall short in capturing losses fast with enough details and low overhead. Due to the importance of loss in data centers, we propose a specific monitoring system designed for loss detection. We propose LossRadar, a system that can capture individual lost packets and their detailed information in the entire network on a fine time scale. Our extensive evaluation on prototypes and simulations demonstrates that LossRadar is easy to implement in hardware switches, achieves low memory and bandwidth overhead, while providing detailed information about individual lost packets. We also build a loss analysis tool that demonstrates the usefulness of LossRadar with a few example applications.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117030119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Xpander: Towards Optimal-Performance Datacenters","authors":"Asaf Valadarsky, Gal Shahaf, M. Dinitz, Michael Schapira","doi":"10.1145/2999572.2999580","DOIUrl":"https://doi.org/10.1145/2999572.2999580","url":null,"abstract":"Despite extensive efforts to meet ever-growing demands, today's datacenters often exhibit far-from-optimal performance in terms of network utilization, resiliency to failures, cost efficiency, incremental expandability, and more. Consequently, many novel architectures for high-performance datacenters have been proposed. We show that the benefits of state-of-the-art proposals are, in fact, derived from the fact that they are (implicitly) utilizing \"expander graphs\" (aka expanders) as their network topologies, thus unveiling a unifying theme of these proposals. We observe, however, that these proposals are not optimal with respect to performance, do not scale, or suffer from seemingly insurmountable deployment challenges. We leverage these insights to present Xpander, a novel datacenter architecture that achieves near-optimal performance and provides a tangible alternative to existing datacenter designs. Xpander's design turns ideas from the rich graph-theoretic literature on constructing optimal expanders into an operational reality. We evaluate Xpander via theoretical analyses, extensive simulations, experiments with a network emulator, and an implementation on an SDN-capable network testbed. Our results demonstrate that Xpander significantly outperforms both traditional and proposed datacenter designs. We discuss challenges to real-world deployment and explain how these can be resolved.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126888043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring Latency Variation in the Internet","authors":"Toke Høiland-Jørgensen, B. Ahlgren, Per Hurtig, A. Brunström","doi":"10.1145/2999572.2999603","DOIUrl":"https://doi.org/10.1145/2999572.2999603","url":null,"abstract":"We analyse two complementary datasets to quantify the latency variation experienced by internet end-users: (i) a large-scale active measurement dataset (from the Measurement Lab Network Diagnostic Tool) which shed light on long-term trends and regional differences; and (ii) passive measurement data from an access aggregation link which is used to analyse the edge links closest to the user. The analysis shows that variation in latency is both common and of significant magnitude, with two thirds of samples exceeding 100, ms of variation. The variation is seen within single connections as well as between connections to the same client. The distribution of experienced latency variation is heavy-tailed, with the most affected clients seeing an order of magnitude larger variation than the least affected. In addition, there are large differences between regions, both within and between continents. Despite consistent improvements in throughput, most regions show no reduction in latency variation over time, and in one region it even increases. We examine load-induced queueing latency as a possible cause for the variation in latency and find that both datasets readily exhibit symptoms of queueing latency correlated with network load. Additionally, when this queueing latency does occur, it is of significant magnitude, more than 200,ms in the median. This indicates that load-induced queueing contributes significantly to the overall latency variation.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HyPer4: Using P4 to Virtualize the Programmable Data Plane","authors":"David Hancock, J. Merwe","doi":"10.1145/2999572.2999607","DOIUrl":"https://doi.org/10.1145/2999572.2999607","url":null,"abstract":"Through virtualization, single physical data planes can logically support multiple networking contexts. We propose HyPer4 as a portable virtualization solution. HyPer4 provides a general purpose program, written in the P4 dataplane programming language, that may be dynamically configured to adopt behavior that is functionally equivalent to other P4 programs. HyPer4 extends, through software, the following features to diverse P4-capable devices: the ability to logically store multiple programs and either run them in parallel (network slicing) or as hot-swappable snapshots; and virtual networking between programs (supporting program composition or multi-tenant service interaction). HyPer4 permits modifying the set of programs, as well as the virtual network connecting them, at runtime, without disrupting currently active programs. We show that realistic ASICs-based hardware would be capable of running HyPer4 today.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131065624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipath","authors":"B. Han, Feng Qian, Lusheng Ji, V. Gopalakrishnan","doi":"10.1145/2999572.2999606","DOIUrl":"https://doi.org/10.1145/2999572.2999606","url":null,"abstract":"Compared with using only a single wireless path such as WiFi, leveraging multipath (e.g., WiFi and cellular) can dramatically improve users' quality of experience (QoE) for mobile video streaming. However, Multipath TCP (MPTCP), the de-facto multipath solution, lacks the support to prioritize one path over another. When applied to video streaming, it may cause undesired network usage such as substantial over-utilization of the metered cellular link. In this paper, we propose MP-DASH, a multipath framework for video streaming with the awareness of network interface preferences from users. The basic idea behind MP-DASH is to strategically schedule video chunks' delivery and thus satisfy user preferences. MP-DASH can work with a wide range of off-the-shelf video rate adaptation algorithms with very small changes. Our extensive field studies at 33 locations in three U.S. states suggest that MP-DASH is very effective: it can reduce cellular usage by up to 99% and radio energy consumption by up to 85% with negligible degradation of QoE, compared with off-the-shelf MPTCP.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121345518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SMig","authors":"Xianghang Mi, Feng Qian, Xiaofeng Wang","doi":"10.1145/2999572.2999583","DOIUrl":"https://doi.org/10.1145/2999572.2999583","url":null,"abstract":"HTTP/2 is quickly replacing HTTP/1.1, the protocol that supports the WWW for the past 17 years. However, HTTP/2's connection management and multiplexing schemes often incur unexpected cross-layer interactions. In this paper, we propose SMig, an HTTP/2 extension that allows a client or server to migrate an on-going HTTP/2 stream from one connection to another. We demonstrate through real implementation that SMig can bring substantial performance improvement under certain common usage scenarios (e.g., up to 99% of download time reduction for small delay-sensitive objects when a concurrent large download is present).","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"50 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120942343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enabling Software-Defined Network Security for Next-Generation Networks","authors":"V. Sekar","doi":"10.1145/2999572.2999573","DOIUrl":"https://doi.org/10.1145/2999572.2999573","url":null,"abstract":"The state of network security today is quite abysmal. Security breaches and downtime of critical infrastructures continue to be the norm rather than the exception, despite the dramatic rise in spending on network security. Attackers today can easily leverage a distributed and programmable infrastructure of compromised machines (or botnets) to launch large-scale and sophisticated attack campaigns. In contrast, the defenders of our critical infrastructures are fundamentally crippled as they rely on fixed capacity, inflexible, and expensive hardware appliances deployed at designated \"chokepoints\". These primitive defense capabilities force defenders into adopting weak and static security postures configured for simple and known attacks, or otherwise risk user revolt, as they face unpleasant tradeoffs between false positives and false negatives. Unfortunately, attacks can easily evade these defenses; e.g., piggybacking on popular services (e.g., drive-by-downloads) and by overloading the appliances. Continuing along this trajectory means that attackers will always hold the upper hand as defenders are stifled by the inflexible and impotent tools in their arsenal. An overarching goal of my work is to change the dynamics of this attack-defense equation. Instead of taking a conventional approach of developing attack-specific defenses, I argue that we can leverage recent trends in software-defined networking and network functions virtualization to better empower defenders with the right tools and abstractions to tackle the constantly evolving attack landscape. To this end, I envision a new software-defined approach to network security, where we can rapidly develop and deploy novel in-depth defenses and dynamically customize the network's security posture to the current operating context. In this talk, I will give an overview of our recent work on the basic building blocks to enable this vision as well as some early security capabilities we have developed. Using anecdotes from this specific exercise, I will also try to highlight lessons and experiences in the overall research process (e.g., how to pick and formulate problems, the role of serendipity, and the benefits of finding ``bridges'' to other subdomains).","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"487 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130371489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network Innovators Community Event (GENI NICE 2016)","authors":"M. Berman, I. Matta, V. Syrotiuk, V. Thomas","doi":"10.1145/2999572.3004860","DOIUrl":"https://doi.org/10.1145/2999572.3004860","url":null,"abstract":"The Network Innovators Community Event (GENI NICE) is the premier event for researchers to demonstrate and present research results and to discuss work in progress related to the NSF's Global Environment for Network Innovations (GENI) and related advanced cyberinfrastructure testbeds. Growing out of the strong experiment- and demonstration-driven tradition of the GENI Engineering Conferences (GECs), NICE specializes in direct experimenter-to-experimenter interaction and information exchange. NICE 2016 represents the second year of NICE, and its first year being held in conjunction with CoNEXT.","PeriodicalId":126131,"journal":{"name":"Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies","volume":"38 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114108847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}