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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Requirement Analysis and Identification of...

Requirement Analysis and Identification of Challenges and Issues for RTDBs in Cloud Computing

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Abstract:

Cloud computing is baseline to invent next generation systems. As computer science is progressing by steps of cloud computing, same as requirements gathering, analysis in cloud computing getting more potential. The cloud computing enables services to fulfill requirements of cloud end-user, according to service level agreements. Data services over cloud also getting more potential especially real-time database systems are more critical to meet customer requirements over cloud. We will elaborate and present detailed analysis about requirements for real-time database systems over cloud, as well identify challenges and issues for RTDBs (real-time database systems) in cloud computing. There is need to ensure quality of service (QoS) as guaranty to meet requirements of RTDBs.

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

3067-3070

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.3067

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Cite this paper

Online since:

December 2012

Authors:

Muhammad Irfan, Hong Zhu

Keywords:

Cloud Computing, Non-Functional Requirements, Quality of Service (QoS), Real-Time Database System

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Foster, Y. Zhao, I. Raicu, and S. Lu, Cloud Computing and Grid Computing 360-degree compared, in Grid Computing Envi- ronments Workshop, 2008, p.1–10.

DOI: 10.1109/gce.2008.4738445

[2] T. Foremski. (2006) Sun services CTO says utility computing acceptance is slow going. [Online]. Available: http: /blogs. zdnet. com/Foremski/?p=33.

[3] A. Orlowski. (2005) The Cell chip - how will MS and Intel face the music? [Online]. Available: http: /www. theregister. co. uk/2005/02/03/cell analysis part two.

[4] M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, Above the Clouds: A Berkeley view of Cloud Computing, University of California, Berkeley, Tech. Rep., 2009. [Online]. Available: http: /d1smfj0g31qzek. cloudfront. net/abovetheclouds. pdf.

DOI: 10.1145/1721654.1721672

[5] M. Haynie, Enterprise cloud services: Deriving business value from Cloud Computing, Micro Focus, Tech. Rep., (2009).

[6] G. Gruman and E. Knorr. (2008) What Cloud Computing really means. [Online]. Available: http: /www. infoworld. com/article/08/04/07/15FE- cloud-computing-reality 1. html.

[7] Gartner. (2008) Cloud Computing will be as influential as e- business. [Online]. Available: http: /www. gartner. com/it/page. jsp? id=707508.

[8] P. Gaw. (2008) What's the difference between Cloud Computing and SaaS? [Online]. Available: http: /blog. fortiva. com/fortivablog/2008/05/what-is- the-dif. html.

[9] M. Turner, D. Budgen, and P. Brereton, Turning software into a service, Computer, vol. 36, no. 10, p.38–44, (2003).

DOI: 10.1109/mc.2003.1236470

[10] T. Oreilly, What is Web 2. 0: Design patterns and business models for the next generation ofsoftware, "O, ReillyMedia, Tech. Rep., 2008. [Online]. Available: http: /www. oreillynet. com/pub/a/oreilly/tim/news/2005/09/30/what-is- web-20. html.

[11] B. Worthen. (2008) Overuse clouds buzz term's meaning. [Online]. Available: http: /blogs. wsj. com/biztech/2008/09/23/ overuse-clouds- buzz-terms- meaning.

[12] IBM Global Technology Services, Defining a framework for cloud adoption , Thought Leadership White Paper May (2010).

[13] Rajkumar Buyya, Chee Shin Yeo, and Srikumar Venugopal, Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities, Keynote Paper, Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications (HPCC 2008, IEEE CS Press, Los Alamitos, CA, USA), Sept. 25-27, 2008, Dalian, China.

DOI: 10.1109/hpcc.2008.172

[14] N. Bhatti, A. Bouch, and A. Kuchinsky. Integrating User-Perceived Quality into Web Server Design. In 9th International World Wide Web Conference, (2000).

DOI: 10.1016/s1389-1286(00)00087-6

[15] Devlin, B., Gray, J., Laing, B., & Spix, G. (1999).

[16] Amazon. com. Amazon Simple Storage Service (Amazon S3). http: /aws. amazon. com/s3.

DOI: 10.1002/9781119561569.ch10

[17] Apache. org. HDFS Architecture. http: /hadoop. apache. org/core/docs/current/hdfs_design. html.

[18] DeCandia, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pilchin, A., et al. (2007).

DOI: 10.1145/1294261.1294281

[19] Ghemawat, S., Gobioff, H., & Leung, S. -T. (2003). The Google File System. SOSP '03: Proceedings of the nineteenth ACM Symposium on Operating Systems Principles (pp.29-43). Bolton Landing, NY: ACM.

DOI: 10.1145/945445.945450

[20] Memcached: a Distributed Memory Object Caching System. http: /www. danga. com/memcached.

[21] A. Weiss. Computing in the clouds. NetWorker, 11(4): 16–25, Dec. (2007).