CFP last date
20 June 2024
Reseach Article

Energy and End to End Delay Computation across Step Network under Distributed Environment

by Kamlesh Kumar Verma, Vipin Saxena
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 7
Year of Publication: 2016
Authors: Kamlesh Kumar Verma, Vipin Saxena
10.5120/ijca2016912091

Kamlesh Kumar Verma, Vipin Saxena . Energy and End to End Delay Computation across Step Network under Distributed Environment. International Journal of Computer Applications. 153, 7 ( Nov 2016), 1-5. DOI=10.5120/ijca2016912091

@article{ 10.5120/ijca2016912091,
author = { Kamlesh Kumar Verma, Vipin Saxena },
title = { Energy and End to End Delay Computation across Step Network under Distributed Environment },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 7 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number7/26412-2016912091/ },
doi = { 10.5120/ijca2016912091 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:28.677638+05:30
%A Kamlesh Kumar Verma
%A Vipin Saxena
%T Energy and End to End Delay Computation across Step Network under Distributed Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 7
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Distributed computing is widely used by many researchers due to several advantages in terms of low cost with high efficiency. In the present paper, a step topological structure is explained and process model is designed through Markov chain. The energy is computed when information is transmitted from one node to another node. End to End delay is also computed in terms of the transmitted rate. Transmission time is also computed and results are represented in terms of table and graph. Since, it is newly developed topological structure under distributed environment, hence comparison on the said topological structure is not possible however it can be converted in the form of bus topology.

References
  1. Chunlin, Li., and Layuan, Li., 2010. “Joint optimization of application QoS and energy conservation in grid environment”, International Journal of Systems Science , Vol. 41, No. 9, pp. 1027– 1041,
  2. Behere, Sameer., 2015.“Airflow Optimization in Data Centres”, Energy Engineering, Taylor & Francis, pp. 33-54.
  3. Limmer, Steffen., Schneider, Andre., et al. 2014.services for numerical simulations and Optimizations in Grids”, International Journal of Parallel, Emergent and Distributed Systems, Taylor & Francis, Vol. 29, No. 6, pp. 521–543.
  4. Ding, Derui. Zidong Wang & Bo Shen., 2014.“Recent Advances on Distributed Filtering for Stochastic Systems over Sensor Networks”, International journal of general Systems, Taylors and Francis Vol. 43, Nos. 3- 4, pp. 372- 386.
  5. Li, Jiaming., Geoffrey Poulton and Geoffrey, James. 2010 “ Coordination of Distributed Energy Resource Agents”. Applied Artificial Intelligence, Taylor & Francis, pp. 351–380.
  6. Chaudhuri, Mainak., et al. 2003 “Latency, Occupancy And Bandwidth in DSM Multiprocessors: A performance Evaluation”. IEEE Transactions on Computers, Vol 52, No.7.
  7. Ball, D., Yan, T., Deshmukh, A., Gao, R. X.,2008“A Strategy For Decomposing Large - Scale EnergyConstrained Sensor Networks For System Monitoring”, Production Planning & Control ,Taylor & Francis,Vol. 19, No. 4, pp. 435– 447.
  8. Islam, Kamrul ., and Akl, Selim G., 2011“A Local Algorithm To Compute Multiple ConnectedDominating sets In Wireless Sensor Networks”, International Journal of Parallel, Emergent andDistributed Systems,Taylor & Francis,Vol. 26, No. 5, pp.369–380.
  9. Dhanalakshmi, N., and Alli, p., 2015 “Efficient EnergyConservation in MANET using Energy ConservingAdvanced Optimized Link State Routing Model”, Inter.J. of Parallel, Emergent and Distributed Systems, Taylor & Francis, Vol. 31, No .5, pp. 469 – 480.
  10. Chen, Xiao., and Rowe, Neil C., 2013 “Energy- efficient Communication in Wireless Cable Sensor Networks”, International Journal of Parallel, Emergent and Distributed Systems, Vol. 28, No. 4, pp. 289–307.
  11. Ching, Wai-kai., Huang, Ximin., Ng, Michael K.,Siu, Tak-Kuen., 2013.“ Markov Chains models, Algorithms and Applications”, Inter. Series in Operations Research and Manag. Science.Vol.189, Springer Science business.
Index Terms

Computer Science
Information Sciences

Keywords

Distributed Computing Step Network Energy Computation Transmission Rate Processing Time.