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Title:CATS: Cloud application-specific traffic scheduling and routing
Author(s):Cai, Chris
Director of Research:Campbell, Roy
Doctoral Committee Chair(s):Campbell, Roy
Doctoral Committee Member(s):Gupta, Indranil; Nahrstedt, Klara; Le, Franck
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):MapReduce, Traffic Scheduling, Internet, WAN, Overlay Network
Abstract:This thesis addresses the limitations and challenges faced by traditional networks via layering, with a focus on the cloud environment that a large fraction of applications and services are running on today. We separate the cloud networks into two categories: intra cloud networks and inter cloud networks. For intra cloud networks, we show a network resource management layer can achieve application-aware networking and improve end-to-end application performance. For inter cloud network, we show an overlay network built on top of the cloud platform can consistently improve the network performance of file transfer for a large fraction of users. Two middleware systems are presented in the thesis: Phurti and CRONets(Cloud-Routed Overlay Networks). Phurti improves MapReduce job completion time for 95% of the jobs and decreases average job completion time by 20%, while CRONets improves 78% of the default Internet paths with a median improvement factor of 3.27 and 1.67 times for more than 6,600 Internet paths examined.
Issue Date:2018-04-17
Rights Information:Copyright 2018 Chris Cai
Date Available in IDEALS:2018-09-04
Date Deposited:2018-05

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