EEOA: Cost and Energy Efficient Task Scheduling in a Cloud-Fog Framework
Cloud-fog computing is a wide range of service environments created to provide quick, flexible services to customers, and the phenomenal growth of the Internet of Things (IoT) has produced an immense amount of data on a daily basis. To complete tasks and meet service-level agreement (SLA) commitment...
Main Authors: | M. Santhosh Kumar, Ganesh Reddy Karri |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/5/2445 |
Similar Items
-
An Improved Dingo Optimization for Resource Aware Scheduling in Cloud Fog Computing Environment
by: Santhosh Kumar Medishetti, et al.
Published: (2024-02-01) -
Multi-Objective Grey Wolf Optimizer Algorithm for Task Scheduling in Cloud-Fog Computing
by: Faten A. Saif, et al.
Published: (2023-01-01) -
Location-aware job scheduling for IoT systems using cloud and fog
by: Xiaomo Yu, et al.
Published: (2025-01-01) -
Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems
by: Ruchika Bhakhar, et al.
Published: (2024-12-01) -
Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment
by: Binh Minh Nguyen, et al.
Published: (2019-04-01)