Proceedings of the 2016 ACM SIGCOMM Conference最新文献_第3页

Optimizing Bulk Transfers with Software-Defined Optical WAN 软件定义光广域网优化批量传输

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934904

Xin Jin, Yiran Li, Da Wei, Siming Li, Jie Gao, Lei Xu, Guangzhi Li, W. Xu, J. Rexford

{"title":"Optimizing Bulk Transfers with Software-Defined Optical WAN","authors":"Xin Jin, Yiran Li, Da Wei, Siming Li, Jie Gao, Lei Xu, Guangzhi Li, W. Xu, J. Rexford","doi":"10.1145/2934872.2934904","DOIUrl":"https://doi.org/10.1145/2934872.2934904","url":null,"abstract":"Bulk transfer on the wide-area network (WAN) is a fundamental service to many globally-distributed applications. It is challenging to efficiently utilize expensive WAN bandwidth to achieve short transfer completion time and meet mission-critical deadlines. Advancements in software-defined networking (SDN) and optical hardware make it feasible and beneficial to quickly reconfigure optical devices in the optical layer, which brings a new opportunity for traffic management on the WAN. We present Owan, a novel traffic management system that optimizes wide-area bulk transfers with centralized joint control of the optical and network layers. sysname can dynamically change the network-layer topology by reconfiguring the optical devices. We develop efficient algorithms to jointly optimize optical circuit setup, routing and rate allocation, and dynamically adapt them to traffic demand changes. We have built a prototype of Owan with commodity optical and electrical hardware. Testbed experiments and large-scale simulations on two ISP topologies and one inter-DC topology show that sysname completes transfers up to 4.45x faster on average, and up to 1.36x more transfers meet their deadlines, as compared to prior methods that only control the network layer.","PeriodicalId":284960,"journal":{"name":"Proceedings of the 2016 ACM SIGCOMM Conference","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122568617","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}

引用次数: 139

Source Address Validation in Software Defined Networks 软件定义网络中的源地址验证

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2960425

Bingyang Liu, J. Bi, Yu Zhou

引用次数: 22

Scheduling Mix-flows in Commodity Datacenters with Karuna 使用Karuna在商品数据中心调度混合流

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934888

Li Chen, Kai Chen, Wei Bai, Mohammad Alizadeh

{"title":"Scheduling Mix-flows in Commodity Datacenters with Karuna","authors":"Li Chen, Kai Chen, Wei Bai, Mohammad Alizadeh","doi":"10.1145/2934872.2934888","DOIUrl":"https://doi.org/10.1145/2934872.2934888","url":null,"abstract":"Cloud applications generate a mix of flows with and without deadlines. Scheduling such mix-flows is a key challenge; our experiments show that trivially combining existing schemes for deadline/non-deadline flows is problematic. For example, prioritizing deadline flows hurts flow completion time (FCT) for non-deadline flows, with minor improvement for deadline miss rate. We present Karuna, a first systematic solution for scheduling mix-flows. Our key insight is that deadline flows should meet their deadlines while minimally impacting the FCT of non-deadline flows. To achieve this goal, we design a novel Minimal-impact Congestion control Protocol (MCP) that handles deadline flows with as little bandwidth as possible. For non-deadline flows, we extend an existing FCT minimization scheme to schedule flows with known and unknown sizes. Karuna requires no switch modifications and is back- ward compatible with legacy TCP/IP stacks. Our testbed experiments and simulations show that Karuna effectively schedules mix-flows, for example, reducing the 95th percentile FCT of non-deadline flows by up to 47.78% at high load compared to pFabric, while maintaining low (<5.8%) deadline miss rate.","PeriodicalId":284960,"journal":{"name":"Proceedings of the 2016 ACM SIGCOMM Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934097","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}

引用次数: 135

Modeling Native Software Components as Virtual Network Functions 将本地软件组件建模为虚拟网络功能

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2959069

M. Baldi, Roberto Bonafiglia, Fulvio Risso, Amedeo Sapio

引用次数: 6

PieBridge: A Cross-DR scale Large Data Transmission Scheduling System PieBridge:一个跨容灾规模的大数据传输调度系统

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2959046

Yuchao Zhang, Ke Xu, Guang Yao, Miao Zhang, Xiaohui Nie

引用次数: 7

OpenBox: A Software-Defined Framework for Developing, Deploying, and Managing Network Functions OpenBox:用于开发、部署和管理网络功能的软件定义框架

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934875

A. Bremler-Barr, Yotam Harchol, David Hay

引用次数: 196

Neutral Net Neutrality 网络中立

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934896

Yiannis Yiakoumis, S. Katti, N. McKeown

引用次数: 25

Trumpet: Timely and Precise Triggers in Data Centers 小号:数据中心的及时和精确触发器

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934879

M. Moshref, Minlan Yu, R. Govindan, Amin Vahdat

{"title":"Trumpet: Timely and Precise Triggers in Data Centers","authors":"M. Moshref, Minlan Yu, R. Govindan, Amin Vahdat","doi":"10.1145/2934872.2934879","DOIUrl":"https://doi.org/10.1145/2934872.2934879","url":null,"abstract":"As data centers grow larger and strive to provide tight performance and availability SLAs, their monitoring infrastructure must move from passive systems that provide aggregated inputs to human operators, to active systems that enable programmed control. In this paper, we propose Trumpet, an event monitoring system that leverages CPU resources and end-host programmability, to monitor every packet and report events at millisecond timescales. Trumpet users can express many *network-wide events*, and the system efficiently detects these events using *triggers* at end-hosts. Using careful design, Trumpet can evaluate triggers by inspecting every packet at full line rate even on future generations of NICs, scale to thousands of triggers per end-host while bounding packet processing delay to a few microseconds, and report events to a controller within 10 milliseconds, even in the presence of attacks. We demonstrate these properties using an implementation of Trumpet, and also show that it allows operators to describe new network events such as detecting correlated bursts and loss, identifying the root cause of transient congestion, and detecting short-term anomalies at the scale of a data center tenant.","PeriodicalId":284960,"journal":{"name":"Proceedings of the 2016 ACM SIGCOMM Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133859715","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}

引用次数: 143

CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark 结语:在黑暗中自动识别和调度共流

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934880

Hong Zhang, Li Chen, Bairen Yi, Kai Chen, Mosharaf Chowdhury, Yanhui Geng

引用次数: 148

2DFQ: Two-Dimensional Fair Queuing for Multi-Tenant Cloud Services 2DFQ:多租户云服务的二维公平排队

Proceedings of the 2016 ACM SIGCOMM Conference Pub Date : 2016-08-22 DOI: 10.1145/2934872.2934878

Jonathan Mace, P. Bodík, Madan Musuvathi, Rodrigo Fonseca, Krishnan Varadarajan

引用次数: 25