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ThinkMind // CLOUD COMPUTING 2017, The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization // View article cloud_computing_2017_1_40_20035


An Automated Lightweight Framework for Scheduling and Profiling Parallel Workflows Simultaneously on Multiple Hypervisors

Authors:
Maruf Ahmed
Albert Y. Zomaya

Keywords: Cloud; virtualization; consolidation; performance; scheduling framework.

Abstract:
This work presents a lightweight framework for performing automated experiments with the execution time and performance variations of parallel workflows. The execution time variation of tasks due to consolidation is a barrier to efficiently scheduling them on emph{Virtual Machines} (VMs). In data centers, VMs are usually consolidated to increase resource utilization. However, this causes resource contention and performance degradation among the VMs. To address this issue, it is necessary to perform experiments with large numbers of tasks and schedules. There exists no framework particularly designed for this type of experiment. The proposed framework makes it easy to conduct experiments with large numbers of task execution patterns. Moreover, it is capable of profiling the execution time variation of each task of a workflow. The design principles, implementation issues and trade-offs of the framework are discussed in detail here. The effectiveness of the framework is demonstrated with a data-intensive scientific workflow, which processes the emph{Galactic Arecibo L-band Feed Array HI} (GALFA-HI) survey data with the emph{Montage} toolkit. With this framework, experiments have been simultaneously run on three different hypervisors and the execution time variation of each task retrieved. The three hypervisors are the emph{VMware} emph{ESXi} 5.5, emph{XenServer} 6.5 and emph{Xen} 4.6. This framework will enable researchers to perform large scale experiments with the execution time variations of parallel tasks on multiple hypervisors and the Cloud.

Pages: 16 to 25

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-529-6

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017

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