An Optimal Host Allocation and Load Distribution Framework Using Maximum Likelihood in Cloud Environment-Reference-Cited by-同舟云学术

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An Optimal Host Allocation and Load Distribution Framework Using Maximum Likelihood in Cloud Environment

Published:2023-07-29 Issue:5 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Patni Sakshi,Singh Ashutosh Kumar

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-01939-2.pdf

Reference47 articles.

1. Díz M, Martín C, Rubio B. State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing. J Netw Comput Appl. 2016;67:99–117.

2. Beloglazov A. Energy-efficient management of virtual machines in data centers for cloud computing. Thesis of Doctor of Philosophy: Department of Computing and Information Systems, The University of Melbourne; 2013.

3. Zissis D, Lekkas D. Addressing cloud computing security issues. Future Gener Comput Syst. 2012;28:583–92.

4. Botta A, de Donato W, Persico V, Pescapé A. Integration of cloud computing and internet of things: a survey. Future Gener Comput Syst. 2016;56:684–700.

5. Cloud IDC news—http://www.idc.com/getdoc.jsp?containerId=prUS423214

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