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