Title
Toward green service in cloud: From the perspective of scheduling
Abstract
In this paper, we address energy-oriented service in cloud computing environment. Specifically, we consider a generic cloud scenario where different kinds of servers provide multi-class service without knowing the user demand in advance. In general, this work provides a green scheduling in the cloud by explicitly addressing 1) the number of the server for each service, and 2) a dynamic scheduling scheme that specifies how to assign the users to different servers. At first, energy-aware scheduling in cloud is formulated by an optimization problem where QoS constraint is expressed by a probability formulation. Then, we propose a random dynamic scheduling scheme to deal with the demand uncertainty based on Monto-Carlo sampling. Moreover, we show that the proposed scheduling scheme possesses a desirable property since it inherits from the problem of known user demand. Subsequently, we present exact steps to implement the proposed scheduling. Finally, numerical simulation results are provided to validate its efficiency.
Year
DOI
Venue
2012
10.1109/ICCNC.2012.6167563
ICNC
Keywords
Field
DocType
optimisation,dynamic scheduling,qos constraint,power aware computing,generic cloud scenario,green scheduling,green service,quality of service,energy aware scheduling,cloud computing,energy oriented service,monto carlo sampling,dynamic optimization,random dynamic scheduling scheme,optimization problem,monte carlo methods,numerical simulation,multiclass service,sampling methods,demand uncertainty,sample-based estimation,probability formulation,probability
Lottery scheduling,Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Two-level scheduling,Rate-monotonic scheduling,Earliest deadline first scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4673-0723-9
3
0.41
References 
Authors
7
4
Name
Order
Citations
PageRank
Liang Zhou1126782.21
Baoyu Zheng2100882.73
Jingwu Cui311217.70
Sulan Tang4444.34