We are inviting IDEALS users, both people looking for materials in IDEALS and those who want to deposit their work, to give us feedback on improving this service through an interview. Participants will receive a $20 VISA gift card. Please sign up via webform.

Files in this item

FilesDescriptionFormat

application/pdf

application/pdfHilfi_Alkaff.pdf (1MB)
(no description provided)PDF

Description

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


This item appears in the following Collection(s)

Item Statistics