Volume 1, Issue 1, November 2015, Page: 1-5
Multiple Agents Based Scheduling and Monitoring in Cloud System
Devenedra Kumar Sahu, Dept. of Computer Science, Patel Institute of Engineering & Science, Bhopal, MP, India
Pankaj Kawadkar, Dept. of Computer Science, Patel Institute of Engineering & Science, Bhopal, MP, India
Received: Sep. 10, 2015;       Accepted: Jan. 13, 2016;       Published: Jan. 23, 2016
DOI: 10.11648/j.ijdst.20150101.11      View  3597      Downloads  67
Abstract
Cloud computing is associated with a new paradigm for the provision of computing infrastructure and services. It represents a shift away from computing as a product that is purchased, to computing that is delivered as a service to consumers over the Internet from large scale data centers or clouds. Clouds provide an infrastructure for easily usable, scalable, virtually accessible and adjustable IT resources that need not be owned by an entity but can be delivered as a service over the Internet. The cloud concept eliminates the need to install and run middleware and applications on users own computer by providing Infrastructure, Platform and Services to users, thus easing the tasks of software and hardware maintenance and support. In this paper we propose a concept of multi agent based batch scheduling and monitoring in cloud computing environment, where the number of agent are more than or equal to two with reducing the complexity of accessing and responding time.
Keywords
Grid, Cloud, Utility Computing, IaaS, SaaS, PaaS, Agent Based Scheduling, Multi Agent Based Scheduling, Batch Scheduling, Monitoring
To cite this article
Devenedra Kumar Sahu, Pankaj Kawadkar, Multiple Agents Based Scheduling and Monitoring in Cloud System, International Journal on Data Science and Technology. Vol. 1, No. 1, 2015, pp. 1-5. doi: 10.11648/j.ijdst.20150101.11
Reference
[1]
Gaoyun Chen, Jun Lu, Jian Huang, Zexu Wu, “SaaAS - The Mobile Agent based Service for Cloud Computing in Internet Environment”, IEEE, Sixth International Conference on Natural Computation (ICNC 2010), pp. 2935–2939, 2010.
[2]
Zehua Zhang, Xuejie Zhang, “Realization of Open Cloud Computing Federation Based on Mobile Agent”, IEEE, pp. 642–646, 2009.
[3]
Javier Espadas, Arturo Molina, Guillermo Jiménez, Martín Molina, Raúl Ramírez, David Concha, “A tenant-based resource allocation model for scaling Software-as-a-Service applications over cloud computing infrastructures”, Elsevier Science Direct, Future Generation Computer Systems 29 (2013), pp. 273–286, 2013.
[4]
IBM Blue Cloud project [URL]. [Online] Available: http:// www-03.ibm.com/ press/us/en/pressrelease/22613.wss/.
[5]
Rizwan Mian, Patrick Martin, Jose Luis Vazquez-Poletti “Provisioning data analytic workloads in a cloud”, Elsevier, Future Generation Computer Systems. The Characteristics of Cloud Computing, 2012.
[6]
Chunye Gong, Jie Liu, Qiang Zhang, Haitao Chen, Zhenghu Gong, “The Characteristics of Cloud Computing”, 39th International Conference on Parallel Processing Workshops, pp. 2010.
[7]
Amit Nathani, Sanjay Chaudhary, Gaurav Soman “Policy based resource allocation in IaaS cloud”, Elsevier, Future Generation Computer Systems 28, 2012, pp. 94–103.
[8]
Naidila Sadashiv, S. M Dilip Kumar, “Cluster, Grid and Cloud Computing: A Detailed Comparison”, IEEE, The 6th International Conference on Computer Science & Education (ICCSE 2011) August 3-5, 2011. SuperStar Virgo, Singapore 2011.
[9]
Bernd Grobauer, Tobias Walloschek, Elmar Stöcker Siemens, “Understanding Cloud Computing Vulnerabilities”, IEEE, Copublished By The IEEE Computer and Reliability Societies, 2011.
[10]
Jianwei Yin, Yanming Ye, Bin Wu, Zuoning Chen, “Cloud Computing Oriented Network Operating System and Service Platform”, 1st IEEE Workshop on Pervasive Communities and Service Clouds, IEEE, 2011.
[11]
Dan Svantesson and Roger Clarke “Privacy and consumer risks in cloud computing”, Elsevier, computer law & securety review 26 (2010) 391e397.
[12]
L. M. Vaquero, L. R. Merino, J. Caceres, M. Lindner, “A break in the clouds: Towards a cloud definition”, ACM SIGCOMM Computer Communication Review, Vol. 39, No. 1, 2009.
[13]
“CLOUD COMPUTING” book authored by John W. Ritting house and James F Ransome.
[14]
D. Chappell, "Introducing Windows Azure", David Chappell & Associates, 2009.
[15]
I. Raicu, Y. Zhao, C. Dumitrescu, I. Foster, M. Wilde, Falkon: A fast and light-weight tasK execute ON framework, in: Proceedings of the 2007 ACM/IEEE Conference on Super computing, ACM, Reno, Nevada, 2007.
[16]
Frederick Chong, Gianpaolo Carraro, "Architecture Strategies for Catching the Long Tail", Microsoft Corporation, April 2006. [Online] Available: http://www.msdn.microsoft.com/ enus/library/aa479069.aspx.
[17]
T. Dierks, E. Rescorla, "The Transport Layer Security (TLS) Protocol Version 1.2”, 2008, IETF RFC 5246, [Online] Available: http://www.ietf.org/rfc/rfc5246.txt.
[18]
A. Baumann, P. Barham, P.-E. Dagand, T. Harris, R. Isaacs, S. Peter, T. Roscoe, A. Schüpbach, A. Singhania, “The multikernel: a new OS architecture for scalable multicore systems”, In Proceedings of the ACM SIGOPS 22nd Symposium on OS Principles, 2009, pp. 29–43.
[19]
A. Schüpbach, S. Peter, A. Baumann, T. Roscoe, P. Barham, T. Harris, R. Isaacs, “Embracing diversity in the Barrelfish manycore operating system”, In Proceedings of the Workshop on Managed Many-Core Systems (MMCS) 2008. ACM, June 2008.
[20]
S. Peter, A. Schüpbach, P. Barhamy, A. Baumann,R. Isaacsy, T. Harrisy, T. Roscoe, "Design Principles for End-to-End Multicore Schedulers”, In 2nd Workshop on Hot Topics in Parallelism, Berkeley, CA, USA, June 2010.
Browse journals by subject