Abstract
Cloud computing is one of the emerging techniques of the current era. It is the method of using different computing resources which can be used when needed in steed of purchasing the resources. Task scheduling is important aspect of cloud computing to manage the different task requests from the multiple users simultaneously. It takes a major role in distributing tasks to VMs based on different factors named makespan, efficiency, energy consumption, memory utilization, network connectivity etc. Different task scheduling algorithms such as nature-inspired, bio-inspired and Metaheuristic algorithms are available for making task scheduling more optimal and efficient. The proposed paper attempts a review existing scheduling mechanisms modeled by nature-inspired, bio-inspired, Metaheuristic approaches which addressed various scheduling parameters such as trust factor, fault tolerance etc.
| Original language | English |
|---|---|
| Title of host publication | 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331506452 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024 - Odisha, India Duration: 19-12-2024 → 21-12-2024 |
Publication series
| Name | 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024 |
|---|
Conference
| Conference | 2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024 |
|---|---|
| Country/Territory | India |
| City | Odisha |
| Period | 19-12-24 → 21-12-24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Signal Processing
- Software
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