Workload aware autonomic resource management scheme using grey wolf optimization in cloud environment-Reference-Cited by-同舟云学术

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Workload aware autonomic resource management scheme using grey wolf optimization in cloud environment

Published:2021-05-05 Issue:14 Volume:15 Page:1869-1882
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Dewangan Bhupesh Kumar¹,Agarwal Amit²,Choudhury Tanupriya³,Pasricha Ashutosh⁴

Affiliation:

1. School of Computer Science University of Petroleum and Energy Studies Dehradun Uttarakhand India

2. School of Computer Science University of Petroleum and Energy Studies Dehradun India

3. Associate professor Department of Informatics University of Petroleum and Energy Studies Dehradun India

4. Schlumberger Pvt. Ltd. New Delhi India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12198

Reference38 articles.

1. Secure attribute-based data sharing for resource-limited users in cloud computing

2. Privacy‐preserving outsourced classification in cloud computing;Li P.;Cluster Computing,2017

3. Secure integration of IoT and Cloud Computing

4. Intelligent cryptography approach for secure distributed big data storage in cloud computing

5. Hierarchical Approach for Efficient Workload Management in Geo-Distributed Data Centers

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2. A Lightweight Encryption Method for Preserving E-Healthcare Data Privacy Using Dual Signature on Twisted Edwards Curves;Lecture Notes in Networks and Systems;2024

3. Comparative Analysis of ARIMA Time Series Model and Other Techniques for Cloud Workloads Performance Prediction;Lecture Notes in Networks and Systems;2024

4. Reinforcement Learning Approach to Solve: PBL Markov Model;Lecture Notes in Networks and Systems;2024

5. ECCO: Cloud Energy Optimization and Load Balancing;Lecture Notes in Networks and Systems;2024

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