DocumentCode :
1848345
Title :
Latency Based Dynamic Grouping Aware Cloud Scheduling
Author :
Malik, Sheheryar ; Huet, Fabrice ; Caromel, Denis
Author_Institution :
Res. Team OASIS, INRIA Sophia Antipolis, Sophia Antipolis, France
fYear :
2012
fDate :
26-29 March 2012
Firstpage :
1190
Lastpage :
1195
Abstract :
In a multi-cloud environment, distributed application may need to have minimal inter-node latency to improve their performance. In this paper, We propose a model for the grouping of nodes with respect to network latency. The application scheduling is done on the basis of network latency. This model is a part of our proposed Cloud Scheduler module, which helps the scheduler in scheduling decisions on the basis of different criteria. Network latency and resultant node grouping on the basis of this latency is one of those criteria. The main essence of the paper is that our proposed latency grouping algorithm not only have no additional network traffic for algorithm computation but also works well with incomplete latency information and performs intelligent grouping on the basis of latency. This paper addresses an important problem in cloud computing, which is locating communicating virtual machines for minimum latency between them and group them with respect to inter-node latency.
Keywords :
cloud computing; groupware; virtual machines; algorithm computation; cloud computing; cloud scheduler module; distributed application; intelligent grouping; inter-node latency; latency based dynamic grouping aware cloud scheduling; latency grouping algorithm; latency information; multicloud environment; network latency; node grouping; virtual machine; Clustering algorithms; Communities; Complexity theory; Partitioning algorithms; Performance evaluation; Processor scheduling; Virtual machining; Cloud scheduling; Group partitioning; Latency grouping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-0867-0
Type :
conf
DOI :
10.1109/WAINA.2012.91
Filename :
6185411
Link To Document :
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