ANALYTICAL STUDY OF IMPORTANCE OF BUSINESS PROCESS MANAGEMENT (BPM) WITH CLOUD COMPUTING

Authors

  • Mr Tarun Dey Assistant System Engineer ,TCS Banglore

Keywords:

maintaining, peak-load & investments.

Abstract

Business Process Management (BPM) gives organizations the ability to identify, monitor and optimize their business processes. A Business Process Management System (BPMS) is used to keep track of business process models and to coordinate the execution of business processes. Organizations that want to make use of BPM might have to deal with high upfront investments, since not only software and hardware needs to be purchased, but also personnel needs to be hired for installing and maintaining the systems. In addition, scalability can be a concern for an organization. A BPMS can only coordinate a certain amount of business process instances simultaneously. In order to serve all customers in peak-load situations, additional machines are necessary. Especially when these machines are only rarely needed, buying and maintaining the machines might become expensive.

References

A. Alves, A. Arkin, S. Askary, B. Bloch, F. Curbera, Y. Goland, N. Kartha, Sterling, D. K•onig, V. Mehta, S. Thatte, D. van der Rijn, P. Yendluri, and A. Yiu. Web Services Business Process Execution Language Version 2.0. OASIS Committee, 2007. [2] Amazon. Amazon Elastic Compute Cloud (Amazon EC2). http://aws.amazon.com/ec2/, Dec. 2011. [3] Amazon. Amazon Simple Queue Service (Amazon SQS). http://aws.amazon.com/sqs/, Dec. 2011. [4] Amazon. Amazon Simple Storage Service (Amazon S3). http://aws. amazon.com/s3/, Dec. 2011. [5] Amazon. Amazon SimpleDB. http://aws.amazon.com/simpledb/,Dec. 2011.

T. Anstett, F. Leymann, R. Mietzner, and S. Strauch. Towards bpel in the cloud: Exploiting difierent delivery models for the execution of business processes. In Proceedings of the 2009 Congress on

Services - I,pages 670{677, Washington, DC, USA, 2009. IEEE Computer Society. [7] Appian. BPM in the Cloud Its Time, Its Safe... Its Smart, Oct. 2011. [8] Appian. Cloud, Mobile and Social BPM, Mar. 2011. [9] M. Armbrust, A. Fox, R. Gri_th, A. D. Joseph, R. H. Katz, A. Konwinski, G. Lee, D. A. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. Above the clouds: A berkeley view of cloud computing. Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley, Feb 2009. [10] F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows,T. Chandra, A. Fikes, and R. E. Gruber. Bigtable: A distributed storage system for structured data. In In proceedings of the 7th conference on usenix symposium on operating systems design and implementation - volume 7, pages 205{218, 2006. [11] D. Chappell. Introducing the Windows AzurePlatform.http://www.davidchappell.com/writing/white_papers/Introducing_the_Windows_Azure_Platform,_v1.4--Chappell.pdf, Oct. 2010.

D. Chappell. Introducing Windows Azure. http://www. davidchappell.com/writing/white_papers/Introducing_Windows_Azure,_v1.3--Chappell.pdf, Oct. 2010. [13] J. Dean, S. Ghemawat, and G. Inc. Mapreduce: simpli_ed data processing on large clusters. In In OSDI04: Proceedings of the 6th conference on Symposium on Operating Systems Design and Implementation.USENIX Association, 2004. [14] E. Deelman, G. Singh, M. Livny, B. Berriman, and J. Good. The cost of doing science on the cloud: the montage example. In Proceedings of the 2008 ACM/IEEE conference on Supercomputing, SC '08, pages 50:1{50:12, Piscataway, NJ, USA, 2008. IEEE Press. [15] fujitsu. Interstage Cloud BPM, 2009.

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Published

2014-03-31

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Articles