International Journal of Scientific Research in Science, Engineering and TechnologyPrint ISSN : 2395-1990 Online ISSN : 2394-4099 email@example.com
  Eran Chinthaka Withana and Beth Plale, “Usage Patterns to Provision for Scientific Experimentation in Clouds”. 2nd IEEE International Conference on Cloud Computing Technology and Science. Pages 226-233.
 David Candeia, Ricardo Ara´ujo, Raquel Lopes, Francisco Brasileiro, “Investigating Business-Driven Cloudburst Schedulers for e-Science Bag-of-Tasks Applications”. 2nd IEEE International Conference on Cloud Computing Technology and Science. Pages 343-350.
 D. P. da Silva, W. Cirne, and F. V. Brasileiro. Trading cycles for information: Using replication to schedule bag-of -tasks applications on computational grids. In Euro-Par, pages 169–180, 2003.
 M. Armbrust et al., “Above the clouds: A berkeley view of cloud computing,” EECS Department, University of California, Berkeley, Tech.
 W. Smith, I. Foster, and V. Taylor, “Predicting application run times using historical information,” in Job Scheduling Strategies for Parallel Processing. Springer, p. 122.
 H. Li, D. Groep, J. Templon, and L. Wolters, “Predicting job start times on clusters,” in ccgrid. IEEE, 2004, pp. 301–308.
 D. Nurmi, J. Brevik, and R. Wolski, “QBETS: Queue bounds estimation from time series,” in Job Scheduling Strategies for Parallel Processing. Springer, pp. 76–101.
 A. A. Julian, J. Bunn, R. Cavanaugh, F. V. Lingen, M. A. Mehmood, H. Newman, C. Steenberg, and I. Willers, “Predicting the resource requirements of a job submission arshadali,” in In Proceedings of the Conference on Computing in High Energy and Nuclear Physics (CHEP 2004, 2004, p. 273.
 F. Berman et al., “Adaptive computing on the grid using apples,” IEEE Transactions on Parallel and Distributed Systems, vol. 14, no. 4, pp. 369–382, 2003.
 F. Berman, A. Chien, K. Cooper, J. Dongarra, I. Foster, D. Gannon, L. Johnsson, K. Kennedy, C. Kesselman, J. Mellor-Crumme et al.,
 “The GrADS project: Software support for high-level grid application development,” International Journal of High Performance Computing Applications, vol. 15, no. 4, p. 327, 2001.
 A. Ganapathi, Y. Chen, A. Fox, R. Katz, and D. Patterson, “Statistics-Driven Workload Modeling for the Cloud,” Technical Report
 UCB/EECS-2009-160, EECS Department, University of California, Berkeley, Tech. Rep., 2009.
 J. Dean and S. Ghemawat, “MapReduce: simplified data processing on large clusters,” Communications of the ACM, vol. 51, no. 1, pp. 107–113,2008.
 F. Berman, R. Wolski, S. Figueira, J. Schopf, and G. Shao, “Applicationlevel scheduling on distributed heterogeneous networks,” in Proceedings of the 1996 ACM/IEEE conference on Supercomputing (CDROM). IEEE Computer Society, 1996, p. 39.'
Cite This Article
Bakul Panchal, "Task aware resource allocation for maximizing throughput in cloud environment with heuristic knowledgebase approach", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume i, Issue i, pp.23-26, November-December-2014.
URL : http://ijsrset.com/IJSRSET14116.php
Copyright @ 2017 - International Journal of Scientific Research in Science, Engineering and Technology