“A hybrid Method to augment the efficiency of Distributed Computing System by DAG -Using Finest Task Allocation with Dual Mode Processors”
Prasant Singh Yadav1, Pradeep Kumar Yadav2, K.P Yadav3, Sunil kumar Bharti4

1Prasant Singh Yadav, Ph.D CS Scholar E, Dr APJ AKTU Lucknow India.
2Dr. Pradeep .Kumar Yadav, principal Scientist CSIR-CBRI Roorkee India Dr. K.P Yadav, Vice Chancellor, Sangam University, Bhilwara Rajsthan, India.
3Dr. Sunil Bharti, Professor Galgotia College of Engineering, G Noida, India.
4Sunil kumar Bharti ,Assiciate Professor in Galgotia College of Engineering, Greater Noida Uttar Pradesh, India.
Manuscript received on 28 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 4275-4284 | Volume-8 Issue-11, September 2019. | Retrieval Number: K19740981119/2019©BEIESP | DOI: 10.35940/ijitee.K1974.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Distributed computing system creates or provides a platform having multiple computing nodes linked in a specified manner. On the basis of literature review of last few decades it has been noticed that most of distributed computing researchers have shown their effort to maintain load balancing between processors ,effective task scheduling and optimizing different parameters affecting execution cost and throughput .With these above scenario an additional parameter “Self reconfiguration of CPU” is also a countable parameter to augment the efficiency of distributed computing system .Through this research paper we want to present new approach of adaptive scheduling algorithm which is the mix output of effective task allocation to processor involved in computing and self-reconfiguration of those processors as per need of computing. By this proposed method we will optimize the execution cost, service rate and maximize the throughput as an outcome of organized processors consist in heterogeneous distributed computing system, resulting provide the considerable enhancement in the performance of Distributed computing environment. Keywords:
Keywords: DCS, Task allocation, CPU Self- Reconfiguration, Task cluster, Execution Cost, PSR, AWS, SAUCLAB, and TPC-w Benchmark.
Scope of the Article: Probabilistic Models and Methods