Enhancing Task Scheduling in Cloud Computing: A Multi-Objective Cuckoo Search Algorithm Approach-Reference-Cited by-同舟云学术

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Enhancing Task Scheduling in Cloud Computing: A Multi-Objective Cuckoo Search Algorithm Approach

Published:2023-11-23 Issue: Volume: Page:869-874
ISSN:
Container-title:2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE)
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Author:

Shetty Pallavi¹,Veeraiah Vivek²,Khidse Swati Vitthal³,Rai Mritunjay⁴,Gupta Ankur⁵,Dhabliya Dharmesh⁶

Affiliation:

1. NMAM Institute of Technology, Nitte (Deemed to be University),Dept. of MCA,Udupi,Karnataka,India

2. Sri Siddhartha Academy of Higher Education,Dept. of Computer Science,Tumkur,Karnataka,India

3. Dr. Babasaheb Ambedkar Marathwada University,Aurangabad,Maharashtra,India

4. Shri Ramswaroop Memorial University,Dept. of ECE,Barabanki,UP,India

5. Vaish College of Engineering,Dept. of CSE,Rohtak,Haryana,India

6. Vishwakarma Institute of Information Technology,Dept. of IT,Pune,Maharashtra,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428120/10428096/10428205.pdf?arnumber=10428205

Reference25 articles.

1. An intelligent/cognitive model of task scheduling for IoT applications in cloud computing environment

2. Simulation Based Job Scheduling Optimization for Batch Workloads

3. Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing

4. A Task Scheduling Algorithm Based on Classification Mining in Fog Computing Environment

5. A Mobile Cloud Based Scheduling Strategy for Industrial Internet of Things

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