Resource Allocation Assisted by Cloud Computing in Cyber-Physical System (CPS)
M. Manikandan1, T. Raghunathan2, M. Sundarrajan3, J. Akshya4
1M. Manikandan, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
2T. Raghunathan, Sri Krishna College of Technology, Coimbatore (Tamil Nadu), India.
3M. Sundarrajan, Periyar Maniammai Institute of Science & Technology, Thanjavur (Tamil Nadu), India.
4J. Akshya, Aksun Research Terminal, Thanjavur (Tamil Nadu), India.

Manuscript received on 13 April 2019 | Revised Manuscript received on 19 May 2019 | Manuscript published on 30 May 2019 | PP: 1287-1290 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2147058119/19©BEIESP
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Abstract: Resource allocation in general terms is defined as the allocation of data or information stored as resources depending upon the demand. This corresponds to the infrastructure or the virtual architecture of the system on demand. Resource allocation in profound databases is very monotonous and becomes a ‘must consider’ factor in order to avoid collateral harm to the present system. Cloud computing is a fusion network of sensors in remote locations to perpetuate different mode of functionalities like collecting, processing, integrating and storing data. This avoids the need for local server networks to perform the above-listed operations. Presently there are innumerable optimizing schemes and techniques depicted in the market specifically in relation to resource allocation in cloud data management. A lot of these algorithms or schemes has proved to be energy efficient and trouble free in the simulation environment. There has been a lot of research undergone to allocate resources and still, it exists as an emerging research platform. Thus the proposed scheme involves resource allocation assisted by the cloud computing techniques in a cyber-physical system. This is a unique hybrid between the cyber-physical system and cloud computing which can be optimal, scalable, and energy efficient at the same time. The simulation results succeeded to be far more efficient and faster than the existing proposals. The resource management speed and the time for execution are much better than the pre-existing systems as obtained from the simulation application and are charted out to show the deviations and irregularities in the current schemes.
Index Terms: Cloud Computing, Cyber-physical System, Resource Allocation, Hybrid System.

Scope of the Article: Cloud Computing