DocumentCode :
1583110
Title :
ACO based graph partitioning algorithm for optimistic deployment of software in MCC
Author :
Sachdeva, Shivani ; Kaur, Kamaljit
Author_Institution :
Dept. of Comput. Sci. & Eng., Guru Nanak Dev Univ., Amritsar, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Mobile Cloud Computing has become very popular because it integrates mobile computing and cloud computing. This paper has presented a critical review on existing MCC techniques especially for optimistic deployment of software. The optimistic deployment mainly focuses on partitioning an application in such a way so that energy consumption will be minimized. The objective of this paper is to study and explore several graph partitioning algorithms and propose a new ACO based technique to deploy software in mobile clouds in optimistic approach. The recommended algorithm has the ability to overcome the limitations which are present in earlier techniques.
Keywords :
cloud computing; graph theory; mobile computing; ACO; MCC; graph partitioning algorithm; mobile cloud computing; optimistic deployment; Atmospheric measurements; Cloud computing; Context; Mobile communication; Particle measurements; Performance evaluation; Pipelines; ACO; Graph Partitioning; Mobile Cloud Computing; Offloading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
Type :
conf
DOI :
10.1109/ICIIECS.2015.7193236
Filename :
7193236
Link To Document :
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