DIFFERENT TASK SCHEDULING ALGORITHMS IN CLOUD COMPUTING

Cloud Computing is a type of Internet model that enables convenient, on-demand resources that can be used rapidly and with minimum effort. Cloud Computing can be IaaS, PaaS or SaaS. Scheduling of these tasks is important so that resources can be utilized efficiently with minimum time which in turn gives better performance. Real time tasks require dynamic scheduling as tasks cannot be known in advance as in static scheduling approach. There are different task scheduling algorithms that can be utilized to increase the performance in real time and performing these on virtual machines can prove to be useful. Here a review of various task scheduling algorithms is done which can be used to perform the task and allocate resources so that performance can be increased.

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HAMM: A Hybrid Algorithm of Min-Min and Max-Min Task Scheduling Algorithms in Cloud Computing

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d4874.119420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 209-218

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Task Scheduling ◽

Hybrid Algorithm ◽

Heuristic Algorithms ◽

Scheduling Algorithms ◽

Cloud Computing Environment ◽

Concurrent Execution ◽

Optimization Parameters ◽

Better Than

Nowadays, with the huge development of information and computing technologies, the cloud computing is becoming the highly scalable and widely computing technology used in the world that bases on pay-per-use, remotely access, Internet-based and on-demand concepts in which providing customers with a shared of configurable resources. But, with the highly incoming user’s requests, the task scheduling and resource allocation are becoming major requirements for efficient and effective load balancing of a workload among cloud resources to enhance the overall cloud system performance. For these reasons, various types of task scheduling algorithms are introduced such as traditional, heuristic, and meta-heuristic. A heuristic task scheduling algorithms like MET, MCT, Min-Min, and Max-Min are playing an important role for solving the task scheduling problem. This paper proposes a new hybrid algorithm in cloud computing environment that based on two heuristic algorithms; Min-Min and Max-Min algorithms. To evaluate this algorithm, the Cloudsim simulator has been used with different optimization parameters; makespan, average of resource utilization, load balancing, average of waiting time and concurrent execution between small length tasks and long size tasks. The results show that the proposed algorithm is better than the two algorithms Min-Min and Max-Min for those parameters

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Task Scheduling Algorithms in Cloud Computing: A Review

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i4.612 ◽

2021 ◽

Vol 12 (4) ◽

pp. 1041-1053

Author(s):

Ibrahim Mahmood Ibrahim, Et. al.

Keyword(s):

Cloud Computing ◽

Task Scheduling ◽

Completion Time ◽

Scheduling Algorithms ◽

Task Completion ◽

The Internet ◽

Computing Environment ◽

Cloud Computing Environment

Cloud computing is the requirement based on clients and provides many resources that aim to share it as a service through the internet. For optimal use, Cloud computing resources such as storage, application, and other services need managing and scheduling these services. The principal idea behind the scheduling is to minimize loss time, workload, and maximize throughput. So, the scheduling task is essential to achieve accuracy and correctness on task completion. This paper gives an idea about various task scheduling algorithms in the cloud computing environment used by researchers. Finally, many authors applied different parameters like completion time, throughput, and cost to evaluate the system.

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