Simulation of QoS-Based Task Scheduling Policy for Dependent and Independent Tasks in a Cloud Environment-Reference-Cited by-同舟云学术

Simulation of QoS-Based Task Scheduling Policy for Dependent and Independent Tasks in a Cloud Environment

Published:2019-09-27 Issue: Volume: Page:515-525
ISSN:2190-3018
Container-title:Smart Intelligent Computing and Applications
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Author:

Potluri Sirisha,Rao Katta Subba

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9282-5_49

Reference18 articles.

1. Seong, W.K., Byung, K.K.: Task-scheduling strategies for reliable TMR controllers using task grouping and assignment. IEEE Trans. Reliab. 49(4), 355–362 (2000)

2. Kenli, L., Xiaoyong, T., Keqin, L.: Energy-efficient stochastic task scheduling on heterogeneous computing systems. IEEE Trans. Parallel Distrib. Syst. 25(11), 2867–2876 (2014)

3. Shapoval, I., Clemencic, M., Hegner, B., Funke, D., Piparo, D., Mato, P.: Graph-based decision making for task scheduling in concurrent Gaudi. In: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2015)

4. Suri, P.K., Sunita, R.: Design of task scheduling model for cloud applications in multi cloud environment. In: International Conference on Information, Communication and Computing Technology, pp. 11–24 (2017)

5. Yashpalsinh, J.: Cloud computing—concepts, architecture and challenges. In: 2012 International Conference on Computing, Electronics and Electrical Technologies (2012)

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