Paper Info
Title
Bayesian workload scheduling in multimedia cloud networks
Abstract
In this paper, the resource optimization problem in multimedia cloud networks is considered. Firstly, we discuss the general three tier architecture of cloud data centre where the resource optimization is the critical task for the multimedia service provider (MSP). Then, we present a general overview of objective and quality of service (QoS) parameters which are essential for resource optimization in multimedia cloud networks. A comparative analysis of resource optimization problems in terms of nature of the problem, constraints, solution approaches, allocation procedure are discussed. Furthermore, we formulate a new optimization problem which incorporates a weight update factor into task based scheduling problem. Finally, we apply Bayesian theory to identify the path and update the weight of each path, and evaluate the scheme with simulation. The response time performance of Bayesian workload scheduling scheme is same as heuristic one. Moreover, the scheduling weight of Bayesain scheme is more robust and universal because it depends on the relationship with tasks.
Year
DOI
Venue
2016
10.1109/CAMAD.2016.7790335
2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)
Keywords
Field
DocType
multimedia cloud networks,Bayesian workload scheduling,resource optimization problem,three tier architecture,cloud data centre,multimedia service provider,quality of service,QoS,task based scheduling problem
Scheduling (computing),Computer science,Quality of service,Computer network,Real-time computing,Optimization problem,Distributed computing,Heuristic,Job shop scheduling,Service provider,Multimedia,Data center,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-2559-6
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Lilatul Ferdouse1184.13
Mushu Li2101.54
Ling Guan313226.27
Alagan Anpalagan41263125.52