CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Multi-core Processors in Cloud Computing using Cloudsim

by Dina R. Salem, M. Haggag, Mostafa Sami M. Mostafa
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 8
Year of Publication: 2016
Authors: Dina R. Salem, M. Haggag, Mostafa Sami M. Mostafa
10.5120/ijca2016908869

Dina R. Salem, M. Haggag, Mostafa Sami M. Mostafa . Multi-core Processors in Cloud Computing using Cloudsim. International Journal of Computer Applications. 137, 8 ( March 2016), 31-34. DOI=10.5120/ijca2016908869

@article{ 10.5120/ijca2016908869,
author = { Dina R. Salem, M. Haggag, Mostafa Sami M. Mostafa },
title = { Multi-core Processors in Cloud Computing using Cloudsim },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 8 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number8/24297-2016908869/ },
doi = { 10.5120/ijca2016908869 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:51.034458+05:30
%A Dina R. Salem
%A M. Haggag
%A Mostafa Sami M. Mostafa
%T Multi-core Processors in Cloud Computing using Cloudsim
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 8
%P 31-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multi-core processor is viewed as the future production of microprocessor design. It is not only a solution for CPU speeds but also it decreases the power consumption, because many cores in a lower frequency collectively produce less heat dissipation than one core with their total frequency. From this point of view, Cloud computing will be mostly built on top of multi-core technologies. However, to fully take advantage of the computational capability and the other advantages of multi-cores, a lot of new techniques must be proposed and considered. In this research paper, a resource-scheduling algorithm along with a server consolidation algorithm is applied to multi-core processors. It is be shown by experimental results that adding cores to the processors in data centers increases the system performance, decreases the power consumption, along with other benefits.

References
  1. Yuping Xing and Yongzhao Zhan, Y. Zhang, Virtualization and Cloud Computing, (Ed.):Future Wireless Networks and Information Systems, LNEE 143, pp. 305–312. springerlink.com © Springer-Verlag Berlin Heidelberg 2012
  2. Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia, Above the Clouds: A Berkeley View of Cloud Computing, UC Berkeley Reliable Adaptive Distributed Systems Laboratory, http://radlab.cs.berkeley.edu/, February 2009
  3. Madhukara Phatak and Kamalesh.V.N, On Cloud Computing Deployment Architecture, JSS Academy of Technical Education, Bangalore, 2010 International Conference on Advances in ICT for Emerging Regions (ICTer), IEEE, 2010
  4. T.Swathi et al, Research Article Virtualization In Cloud Computing , International Journal of Computer Science and Mobile Computing, Vol.3 Issue.5, May- 2014, IJCSMC, 2014
  5. S.V.S.S. Lakshmi, Ms. I Sri Lalita Sarwani, M.Nalini Tuveera, A Study On Green Computing: The Future Computing And Eco-Friendly Technology, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue4, pp.1282-1285, 2012
  6. Sergio Nesmachnow, Bernabé Dorronsoro, Johnatan E. Pecero, Pascal Bouvry, Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems, J Grid Computing, 2013
  7. Viswanathan Manickam and Alex Aravind, A Fair and Efficient Gang Scheduling Algorithm for Multicore Processors, Springer-Verlag, Berlin, Heidelberg, 2012
  8. Shohei Gotoda, Minoru Ito, Naoki Shibata, Task scheduling algorithm for multicore processor system for minimizing recovery time in case of single node fault, IEEE International Symposium on Cluster Computing and the Grid, CCGrid, 2012
  9. Mostafa Sami, M. Haggag, Dina Salem, Resource Allocation and Server Consolidation Algorithms for Green Computing, International Journal of Scientific & Engineering Research, Vol 6, Issue 12, December 2015
  10. Lizhe Wang, Jie Tao, Gregor von Laszewski, Holger Marten, Multicores in Cloud Computing: Research Challenges for Applications, Journal of Computers, Vol 5, No 6, 2010
  11. Balaji Venu, Multi-core processors–An overview, Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
  12. K. Chandrasekaran, Essentials of Cloud Computing,
  13. Young Choon Lee·Albert Y. Zomaya, Energy efficient utilization of resources in cloud computing systems, J Supercomputer 60:268–280, 2012
  14. Eric Keller Jakub Szefer Jennifer Rexford Ruby B. Lee, NoHype: Virtualized Cloud Infrastructure without the Virtualization Princeton University, Saint-Malo, France, ISCA’10, 19–23, June 2010
  15. Attia KM et al., Dynamic Power Management Techniques In Multi-Core Architectures: A Survey Study, Ain Shams Eng J, 2015, http://dx.doi.org/10.1016/j.asej.2015.08.010
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Scheduling Multi-core processors Cloudsim.

Powered by PhDFocusTM