CTS-SOS: Cloud Task Scheduling Based on the Symbiotic Organisms Search-Reference-Cited by-同舟云学术

CTS-SOS: Cloud Task Scheduling Based on the Symbiotic Organisms Search

Published:2017 Issue: Volume: Page:82-94
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Liu Zhenpeng,Liu Xiaodan,Dong Yawei,Zhao Xuan,Zhang Bin

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6442-5_8

Reference16 articles.

1. Panda, S.K., Gupta, I., Jana, P.K.: Allocation-aware task scheduling for heterogeneous multi-cloud systems. Procedia Comput. Sci. 50, 176–184 (2015)

2. Jackson, D.B.: System and method of brokering cloud computing resources, US, US9015324 (2015)

3. Tawfeek, M.A., El-Sisi, A., Keshk, A.E., Torkey, F.A.: An ant algorithm for cloud task scheduling. In: Proceedings of International Workshop on Cloud Computing and Information Security, pp. 169–172 (2013)

4. Gao, Y.Q., Guan, H.B., Qi, Z.W., Hou, Y., Liu, L.: A multi-objective ant colony system algorithm for virtual machine placement in cloud computing. J. Comput. Syst. Sci. 79, 1230–1242 (2013)

5. Raju, R., Babukarthik, R.G., Chandramohan, D., Dhavachelvan, P.: Minimizing the makespan using hybrid algorithm for cloud computing. Adv. Comput. Conf. 7903, 957–962 (2013)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A local mesh free numerical method with automatic parameter optimization;Engineering Analysis with Boundary Elements;2020-04

2. A comprehensive survey on symbiotic organisms search algorithms;Artificial Intelligence Review;2019-07-06