DocumentCode :
2027158
Title :
Improved scheduling algorithm in VCL Cloud computing environment on CloudSim
Author :
Khedher, Omar ; Jarraya, Mohamed
Author_Institution :
Innov´com Lab., E.N.I.T, Tunisia
fYear :
2015
fDate :
20-24 July 2015
Firstpage :
254
Lastpage :
261
Abstract :
Cloud Computing has empowered the academic communities by reducing the IT infrastructure administration and cost. As one of several cloud computing solutions, Virtual Cloud Laboratory (VCL) has improved many universities experience by providing hand-on labs for each course per class. VCL has multiple deployment requirements. Although it represents a simplified architecture design, treating a large size VCL deployment might be challenging. In addition, putting the performance of resource allocation policies and different scheduling algorithms under scope could help to quantify the workload running in a real and expanded VCL environment. We aim through this study at identifying the limitations of the default scheduler in VCL and propose an enhanced scheduler. By simulating a VCL cloud computing environment, it might be possible to prove different scheduling algorithms and their impact from performance perspective.
Keywords :
cloud computing; computer aided instruction; educational institutions; scheduling; CloudSim; IT infrastructure administration; VCL cloud computing environment; academic communities; deployment requirements; enhanced scheduler; resource allocation policies; scheduling algorithms; virtual cloud laboratory; Blades; Cloud computing; Computational modeling; Computers; Scheduling algorithms; Virtual machining; CloudSim; On Demand Resources; Performance Analysis; Scheduling Algorithm; Virtual Cloud Laboratory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2015 International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-7812-3
Type :
conf
DOI :
10.1109/HPCSim.2015.7237047
Filename :
7237047
Link To Document :
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