An Efficient tasks scheduling using DAG for Cloud Computing
Main Article Content
Abstract
Cloud Computing is a common model for storing, accessing, processing, and retrieving data from a distance.
It combines high-performance computing with a massive resource pool.Cloud services are available ondemand
to meet a variety of consumer QoS specifications. One of the main challenges in the field of the
cloud computing is the task scheduling problem.Task Scheduling is known as NP-complete problem. The
main objective of task scheduling is to assign tasks on to available processors with the aim of producing
minimum Makespan and without violating the precedence constraints.in this paper modified the QL_HEFT
algorithm, which efficiently distributes work among the processors and reduces the time it takes for
applications to complete. The Proposed algorithm performs better than the current QL_HEFT algorithm,
according to computational results.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.