Context Provisioning for Mobile Service Ensembles

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-37 Number-2
Year of Publication : 2016
Authors : Durga Puja, Raghav Mehra, BD Mazumdar
DOI :  10.14445/22312803/IJCTT-V37P111

MLA

Durga Puja, Raghav Mehra, BD Mazumdar "Context Provisioning for Mobile Service Ensembles". International Journal of Computer Trends and Technology (IJCTT) V37(2):46-54, July 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In this work we have researched adjustment procedures for substantial scale administration groups. We highlighted in the issue explanation that adjustment needs to address the necessities of the general troupe, not only the requirements of individual people or administrations. Our fundamental discoveries in this proposal are: a) Ensemble adjustment consolidates reasonable strategies at the level of administration arrangement, administration choice, and administration conduct. b) Adaptation strategies at the foundation level apply troupe measurements to decide outfit necessities. Coordinating prerequisites against conveyed administration abilities uncovers the interest for adjustment. c) Efficient and effective structure exchanges of prerequisites satisfaction and piece costs. Piece costs get from the collaboration structure of troupe entities.

References
[1] Alava, M. J. and S. N. Dorogovtsev (2005). Complex networks created by aggregation.
[2] Gombotz, R., D. Schall, C. Dorn, and S. Dustdar (2006, November). Relevance-based context sharing through interaction patterns. In 2nd International Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaborate-Com).
[3] G´omez, V., A. Kaltenbrunner, and V. L´opez (2008). Statistical analysis of the social network and discussion threads in slashdot. In WWW ’08: Proceeding of the 17th international conference on World Wide Web, New York, NY, USA, pp. 645– 654. ACM.
[4] Greenwood, D. and G. Rimassa (2007). Autonomic goaloriented business process man-agement. In ICAS ’07: Proceedings of the Third International Conference on Auto-nomic and Autonomous Systems, Washington, DC, USA, pp. 43. IEEE Computer Society.
[5] Lee, S. H., P.-J. Kim, and H. Jeong (2006, January). Statistical properties of sampled networks. Physical Review E 73, 102–109.
[6] Leski, J. (2003). Towards a robust fuzzy clustering. Fuzzy Sets Syst. 137 (2), 215–233.
[7] Lieberman, E., C. Hauert, and M. A. Nowak (2005, January). Evolutionary dynamics on graphs. Nature 433 (7023), 312–316.
[8] Little, M., E. Newcomer, and G. Pavlik (2004, November). Web Service Context Speci-fication (WS-Context) OASIS.
[9] Liu, N., J. Li, and N. Li (2008). A graph-segment-based unsupervised classification for multispectral remote sensing images. WSEAS Trans. Info. Sci. and App. 5 (6), 929–938.
[10] McAuley, J. J., L. da Fontoura Costa, and T. S. Caetano (2007). Rich-club phenomenon across complex network hierarchies. Applied Physics Letters 91 (8), 084103.

Keywords
Piece costs get from the collaboration structure of troupe entities.