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Title:Cross-layer scheduling in cloud computing systems
Author(s):Alkaff, Hilfi
Advisor(s):Gupta, Indranil
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Distributed System
Software-Defined Networking
Stream Processing
Abstract:Today, application schedulers are decoupled from routing level schedulers, leading to sub-optimal throughput for cloud computing platforms. In this thesis, we propose a cross-layer scheduling framework that bridges the application level scheduler with the routing level scheduler (SDN). We realize our framework in a batch-processing framework (Hadoop) and a stream-processing framework (Storm [2]). Our experimental results show that we are able to improve throughput of jobs in Storm and Hadoop by up to 32% and 29% respectively.
Issue Date:2014-09-16
URI:http://hdl.handle.net/2142/50739
Rights Information:Copyright 2014 Hilfi Alkaff
Date Available in IDEALS:2014-09-16
Date Deposited:2014-08


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