Design of Task Scheduling Model for Cloud Applications in Multi Cloud Environment

Author:

Suri P. K.,Rani Sunita

Publisher

Springer Singapore

Reference19 articles.

1. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: vision, type, and reality for delivering computing as the 5th utility. Futur. Gener. Comput. Syst. 25, 599–616 (2009)

2. Suri, P.K., Rani, S.: Simulator for priority based scheduling of resources in cloud computing. Int. J. Comput. Appl. 146(14), 10–15 (2016)

3. Lee, Y.C., Subrata, R., Zomaya, A.Y.: On the performance of a dual-objective optimization model for workflow applications on grid platforms. IEEE Trans. Parallel Distrib. Syst. 20(9), 1273–1283 (2009)

4. Muthuvelu, N., Liu, J., Soe, N.L., Venugopal, S., Sulistio, A., Buyya, R.: A dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids. In: Coddington, P., Wendelborn, A. (eds.) Australasian Workshop on Grid Computing and e-Research (AusGrid2005), Newcastle, Australia. Conferences in Research and Practice in Information Technology, vol. 44. Australian Computer Society, Adelaide (2005)

5. Muthuvelu, N., Chai, I., Eswaran, C.: An adaptive and parameterized job grouping algorithm for scheduling grid jobs. In: ICACT, pp. 975–980 (2008). ISBN 978-89-5519-136-3

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