Paper Info
Title
Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing
Abstract
This paper focuses on an integrated workload scheduling and pre-fetching model in a multimedia mobile cloud computing environment to enhance the performance of response time and reduce the cost to process multimedia data. The response time and cost optimization problems are presented along with the computation resources such as virtual machines (VMs) allocation, workload conservation, queueing stability constraints, and to overcome the total response time and cost, a heuristic approach of workload scheduling method is proposed. The integrated workload scheduling at pre-fetcher and cloud are considered to study the effects of various parameters such as VM’s processing speed, pre-fetcher’s utilization, the user requests arrival rate. The performance analysis results reveal that the cost and transmission speed are directly relevant factors, meaning that, once the rate of data transmission is increasing, the cost is also increasing and vice versa. Hence, the time and cost efficient workload scheduling is essential to satisfy both delay and cost in pre-fetcher enabled multimedia cloud systems.
Year
DOI
Venue
2018
10.1186/s13677-018-0115-6
Journal of Cloud Computing
Keywords
Field
DocType
Multimedia mobile cloud computing, Workload scheduling, Pre-fetcher, VM allocation
Mobile cloud computing,Heuristic,Virtual machine,Workload,Computer science,Response time,Real-time computing,Queueing theory,Multimedia,Cost efficiency,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
7
1
2192-113X
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Kaveh Khorramnejad100.34
Lilatul Ferdouse2184.13
Ling Guan313226.27
Alagan Anpalagan41263125.52