Analyzing Optimized Cloud in Resource Provisioning using Firefly Algorithm

Author(s):

S.Hebsiba , Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India; Mrs.P.Ashly Angel, Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India

Keywords:

Firefly Algorithm, AUVs, UW-ASNs

Abstract:

Cloud robotics is a rapidly evolving field that allows robots to offload computation-intensive and storage-intensive jobs into the cloud. Robots are limited in terms of computational capacity, memory and storage. Cloud provides unlimited computation power, memory, storage and especially collaboration opportunity. Cloud-enabled robots are divided into two categories as standalone and networked robots. The Cloud infrastructure and its extensive set of Internet-accessible resources has potential to provide significant benefits to robots and automation systems. We consider robots and automation systems that rely on data or code from a network to support their operation, i.e., where not all sensing, computation, and memory is integrated into a standalone system. Underwater acoustic networking is the enabling technology for these applications. In this project, the system present a novel collaborative framework that combines the sensor networks of the AUVs and the clouds. The man in objective of this project is to minimize the time to execute an application and, consequently. To minimize the price budget of using Cloud resources. To understand the parameters that take apart when the tasks are shared between local and remote resources.The fireflies’ algorithm is a meta heuristic algorithm. The primary purpose is to act as a signal system to attract other fireflies.

Other Details:

Manuscript Id	:	IJSTEV2I10044
Published in	:	Volume : 2, Issue : 10
Publication Date	:	01/05/2016
Page(s)	:	156-160

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