Random Articles
Reseach Article
Achieving Fairness and Efficiency in Cloud based Environment using new 3-Level Architecture
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 6 |
| Year of Publication: 2013 |
| Authors: Aswin V, Karthik M, Balaji C |
10.5120/13497-1231
|
Aswin V, Karthik M, Balaji C . Achieving Fairness and Efficiency in Cloud based Environment using new 3-Level Architecture. International Journal of Computer Applications. 78, 6 ( September 2013), 44-49. DOI=10.5120/13497-1231
Abstract
Cloud computing has become an integral part in evaluation of jobs over various domains present in different servers. In that case scheduling is very necessary so as to carry out the process. This paper would focus on suggesting an algorithm that would enhance the efficiency and quality of service over the applications in cloud centers. The 3-tier framework is applied over application layer (level-1, level-2) and Network layer (level-3). Thus 3-tier architecture is classified into three stages where in stage 1, every process is segregated and consolidated into separate units based on cost-time factor. In the second level the quantum value is decided according to which the process is executed in circular queues. The third stage aims at balancing the load based on the energy spent at VMdisk which is created using Paas. Hence on applying this framework we are able to achieve fairness, improvement in efficiency in case of deadlock and load balance respectively.
References
- J. Bennett and H. Zhang, Hierarchical Packet Fair Queueing Algorithms, ACM/IEEE Trans. on Networking, 5(5):675-689, Oct. 1997.
- L. Lenzini, E. Mingozzi, and G. Stea, Tradeoffs between Low Complexity, Low Latency, and Fairness with Decit Round-Robin Schedulers. ? IEEE/ACM Trans. on Networking, 12(4):681-693, April 2004.
- Text book: "operating systems" by stuart E. Madnick and John j. Donovan ISBN:0-07-039455-5
- "ZXTM for Cloud Hosting Providers," http://www. zeus. comlc1oud
- computinglfor_cloud---'providers. html, January 2010.
- Achieving Operational Efficiency With Cloud Based Services
- Karthik V Bellur, Krupal M, Praveen Jain, Dr. Prakash Raghavendra The 6th International Conference on Computer Science & Education (ICCSE 2011) August 3-5, 2011. SuperStar Virgo, Singapore
- B. Speitkamp and M. Bichler, "A mathematical programming approach for server consolidation problems in virtualized data centers," IEEE Transactions on Services Computing, pp. 266–278, 2010.
- M. Cardosa, M. Korupolu, and A. Singh, "Shares and utilities based power consolidation in virtualized server environments," in Proceedings of IFIP/IEEE Integrated Network Management (IM), 2009.
- Sartaj Sahni, "Algorithms analysis and Design", Published by Galgotia Publications Pvt. Ltd. , New Delhi, 1996.
- A Survey of Various Scheduling Algorithms in Cloud Environment Sujit Tilak 1, Prof. Dipti Patil 2, International Journal of Engineering Inventions, ISSN: 2278-7461, www. ijeijournal. com Volume 1, Issue 2 (September 2012) PP: 36-39.
- R. Buyya, R. Ranjan, and R. N. Calheiros, "Modeling and simulation of scalable cloud computing environments and the CloudSim toolkit: Challenges and opportunities," in Proceedings of the 7th High Performance Computing and Simulation Conference (HPCS'09). IEEE Press, NY, USA, 2009.
- IEEE TPDS, MANY-TASK COMPUTING, NOVEMBER 2010 Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing.
- Alexandru Iosup, Member, IEEE, Simon Ostermann, Nezih Yigitbasi, Member, IEEE, Radu Prodan, Member, IEEE, Thomas Fahringer, Member, IEEE, and Dick Epema, Member, IEEE
Index Terms
Keywords