Abstract
The performance and quality of a web service are important factors and are expected by parties utilizing the service. This paper proposes and implements a cost efficiency solution to cater for web services in a unique set of situation. The solution is designed for web services that have frequent user groups scattered in various geographic locations, without the existence of access patterns. This optimization solution is developed for the Fluid Infrastructure methodology. Its main emphasis is fundamentally to provide a mechanism that is capable of reacting to various problems (operational and performance related) in an efficient and autonomous manner. Discussions within this paper focus on the algorithms that are used to compute the efficiency metrics and implementation issues of the solution. Further, evaluation of these solutions are also demonstrated and validated.
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References
Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., Orchard, D.: Web Services Architecture. W3C (2003)
Burghart, T.: Distributed Computing Overview. Massachusetts, Quoin Inc., Cambridge (1998)
Elkarra, N.: A Web Services Strategy for Mobile Phones, O’Reilly XML Web Services White Paper (2003)
Krishnaswamy, S., Loke, S., Zaslavsky, A.: Cost Models for Heterogeneous Distributed Data Mining. In: Twelfth Annual Int. Conference on Software Engineering and Knowledge Engineering, Chicago, Illinois (2000)
Krishnaswamy, S., Loke, S., Zaslavsky, A.: Application Run Time Estimation: A QoS Metric for Web-based Data Mining Service Providers. In: Seventeenth ACM Symposium on Applied Computing (ACM SAC), Madrid, Spain (2002)
Mifsud, T., Stanski, P.: Peer-2-Peer Nomadic Web Services Migration Framework. In: Proceedings of the 2nd AMOC, Langkawi, Malaysia (2002)
Pratistha, D., Nicoloudis, N., Cuce, S.: A Micro-Services Framework on Mobile Devices. In: International Conference on Web Services, Nevada, USA (2003)
Pratistha, I.M., Zaslavsky, A.: Fluid - Supporting a Transportable and Adaptive Web Service. In: The 19th Annual ACM Symposium on Applied Computing, Nicosia, Cyprus (2004)
Pratistha, I.M., Zaslavsky, A., Dick, M., Cuce, S.: Nomadic and Adaptive Web Services for mBusiness Applications. In: Third Annual m>Business 2004 Conference, New York City (2004)
Pratistha, I.M., Zaslavsky, A., Dick, M., Cuce, S.: A Generic Cost Model and Infrastructure for Improving Web Service Efficiency through Dynamic Relocation. Technical Paper. Monash University, Australia (2005)
Waldo, J., Geoff, W., Wollrath, A., Kendall, S.: A Note on Distributed Computing. Sun Microsystem. SMLI TR-94-29 (1994)
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Pratistha, D., Zaslavsky, A., Cuce, S., Dick, M. (2005). Performance Based Cost Models for Improving Web Service Efficiency Through Dynamic Relocation. In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2005. Lecture Notes in Computer Science, vol 3590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11545163_25
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DOI: https://doi.org/10.1007/11545163_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28467-3
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