CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Improving Scalability of Cloud System based on Routing Algorithms

by Mohamed Eisa, E. I. Esedimy, Alaa Halawani
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 11
Year of Publication: 2014
Authors: Mohamed Eisa, E. I. Esedimy, Alaa Halawani
10.5120/17734-8847

Mohamed Eisa, E. I. Esedimy, Alaa Halawani . Improving Scalability of Cloud System based on Routing Algorithms. International Journal of Computer Applications. 101, 11 ( September 2014), 40-46. DOI=10.5120/17734-8847

@article{ 10.5120/17734-8847,
author = { Mohamed Eisa, E. I. Esedimy, Alaa Halawani },
title = { Improving Scalability of Cloud System based on Routing Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 11 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number11/17734-8847/ },
doi = { 10.5120/17734-8847 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:25.679814+05:30
%A Mohamed Eisa
%A E. I. Esedimy
%A Alaa Halawani
%T Improving Scalability of Cloud System based on Routing Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 11
%P 40-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing provides end users with computing resources based on virtualization technologies at the data center. This allowed us to optimize data centers utilization by using techniques and algorithms that optimize the use of cloud computing resources. By taking advantage of some useful proprieties of routing algorithm proposed model is presented in the field of cloud computing that makes data centers more flexible and scalable. Our experimental results indicate that proposed model increases utilization of data centers resources and reduce waiting time.

References
  1. Raytheon UK Targeted in Cloud-Based Attack. Available online: http://www. zdnet. co. uk/news/security-threats/2011/10/12/raytheon-uk-targeted-in-cloud-basedattack- 40094173/ (accessed on: Feb 1, 2014).
  2. Mohamed Eisa, E. I. Esedimy and M. Z. Rashad, Enhancing Cloud Computing Scheduling based on Queuing Models, International Journal of Computer Applications (0975 – 8887) Volume 85 – No 2, January 2014.
  3. T. Kokilavani, Dr. D. I. George Amalarethinam, "Load Balanced Min-Min Algorithm for Static Meta-Task Scheduling in Grid Computing", "International Journal of Computer Applications", vol. 20, no. 2, April 2012, pp. 43-49.
  4. He. X, X-He Sun, and Laszewski. G. V, "QoS Guided Min-min Heuristic for Grid Task Scheduling," Journal of Computer Science and Technology, vol. 18, 2003, pp. 442-451.
  5. Saeed Parsa, Reza Entezari-Maleki, "RASA: A New Grid Task Scheduling Algorithm", "International Journal of Digital Content Technology and its Applications", vol. 3, no. 4, December 2009, pp. 91-99.
  6. R. F. Freund, M. Gherrity, S. Ambrosius, M. Campbell, M. Halderman, D. Hensgen, E. Keith,T. Kidd, M. Kussow, J. D. Lima, F. Mirabile, L. Moore, B. Rust, and H. J. Siegel, "Scheduling resources in multi-user, heterogeneous, computing environments with Smart Net", "7th IEEE Heterogeneous Computing Workshop (HCW '98)", 1998, pp. 184-199.
  7. W. Chen, J. Zhang, "An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements", "IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews", vol. 39, no. 1, January 2009.
  8. Cui Lin, Shiyong Lu," Scheduling Scientific Work flows Elastically for Cloud Computing", 4th International Conf. IEEE on Cloud Computing, 2011.
  9. Y. Yang, K. Liu, J. Chen, X. Liu, D. Yuan and H. Jin, "An Algorithm in SwinDeW-C for Scheduling Transaction-Intensive Cost - Constrained Cloud Workflows", 4th IEEE International Conference on e-Science, 374-375, Indianapolis, USA, December 2008.
  10. Shirazi, B. A. , K. Krishna, and H. Ali. 1995. Scheduling and Load Balancing in Parallel and Distributed Systems. Wiley-IEEE Computer Society Press. Voas, J. , and J. Zhang. 2009. Cloud Computing: New Wine or Just a New Bottle? IT Professional 11:15- 17.
  11. Bryhni, H. , E. Klovning, and O. Kure. 2000. A Comparison of Load Balancing Techniques for Scalable Web Servers. IEEE NETWORK 14: 58-64.
  12. R. Buyya, M. M. Murshed, D. Abramson, and S. Venugopal. Scheduling parameters weep applications on global grids: a deadline and budget constrained cost-time optimization algorithm. Software Practice and Experience, 35(5): 491-512, 2005.
  13. K. Mukherjee, G. Sahoo, "Development of Mathematical Model for Market-Oriented Cloud Computing", International Journal of Computer Applications (0975 – 8887), Volume 9– No. 11, November 2010.
  14. Qiang Li, Yike Guo. "Optimization of Resource Scheduling in Cloud Computing", 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 978-0-7695-4324-6/10© IEEE, DOI 10. 1109/SYNASC. 2010. 8.
  15. Poonam Devi, "Implementation of Cloud Computing By Using Short Job scheduling", International Journal of Advanced Research in Computer Science and Software Engineering, July – 2013, ISSN: 2277-128X
  16. Foster, I. et al (2008) Cloud Computing and Grid Computing 360-Degree Compared. Grid Computing Environment Workshop, GCE '0. 12-16 November, pp. 1-10.
  17. Buyya, R. , Ranjan, R. , and Calheiros, R. (2009) Modelling and Simulation of Scalable Cloud Computing Environment and the Cloud Sim Toolkit: Challenges and Opportunities. International Conference on High Performance Computing and Simulation, HPCS '09. 21-24 June, pp. 1-11.
  18. An Introduction to Queueing Theory - L. Breuer, D. Baum – Springer Verlag 2005.
  19. Rakesh Mohanty, H. S. Beheram Khusbu Patwarim Monisha Dash, M. Lakshmi Prasanna , "Priority Based Dynamic Round Robin (PBDRR) Algorithm with Intelligent Time Slice for Soft Real Time Systems", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 2, February 2011.
  20. Radojevic, B. & Zagar, M. (2011). Analysis of issues with load balancing algorithms in hosted (cloud) environments. In proceedings of 34th International Convention on MIPRO, IEEE.
  21. Integrating MATLAB, Simulink and State flow Components in a Sim Events odel:www. mathworks. com/wbnr15638
  22. Averill M. Law, W. David Kelton, McGraw-Hill 2000 Simulation Modeling and Analysis (3rd Edition).
  23. RUBiS. Rubis: Rice University bidding system. http://rubis. ow2. org/, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Queuing models Routing algorithms.

Powered by PhDFocusTM