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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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Adapting Efficient Software Requirement Engineering model to implement AES Algorithm for Mobile Cloud Computing 

MANJUNATH A E, PAVITHRA H, SWARNALATHA K. S, SHARADHADEVI S K Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India

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Abstract: In this paper a new efficient approach to solving the balanced connected partitioning is presented. The graph partitioning problem has been used in many areas of computer science like LSI design; electrical power networks (EPNs) and ect. The problem aims to obtaining sub graphs of a graph which include balance connected vertices. The proposed solution is based on Cuckoo Optimization Algorithm (COA) that is a novel evolutionary optimization algorithm. This method is inspired by the life structure of a bird family which is called cuckoo. To prove the performance of this approach two hardness instances are used.

Keyword: Graph partitioning, COA, optimization algorithm, meta-hubristic.

How to Cite:

[1] MANJUNATH A E, PAVITHRA H, SWARNALATHA K. S, SHARADHADEVI S K Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India Assistant Professor, Department of Computer Science and Engineering, RVCE, Bangalore, India, β€œAdapting Efficient Software Requirement Engineering model to implement AES Algorithm for Mobile Cloud Computing ,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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