A Survey on Task Scheduling For Parallel Workloads in the Cloud Computing System (original) (raw)

Analysis of Various Task Scheduling Algorithms in Cloud Computing

Cloud computing is a technology that provides data storage, pool of resources and online access to computer services. Scheduling defines the order in which the set of tasks to be completed. Though large number of resource is available in cloud computing the user tasks should be properly allocated to the resources so that maximum tasks can be executed by utilizing minimum resources. Cloud computing provides various scheduling algorithms considering various parameters that can increase the performance of the system. This review paper focuses on various Scheduling algorithms in detail and the issues and the challenges faced by those scheduling algorithms.

Comparison of Task Scheduling Algorithms in Cloud Environment

International Journal of Advanced Computer Science and Applications

The enhanced form of client-server, cluster and grid computing is termed as Cloud Computing. The cloud users can virtually access the resources over the internet. Task submitted by cloud users are responsible for efficiency and performance of cloud computing services. One of the most essential factors which increase the efficiency and performance of cloud environment by maximizing the resource utilization is termed as Task Scheduling. This paper deals with the survey of different scheduling algorithms used in cloud providers. Different scheduling algorithms are available to achieve the quality of service, performance and minimize execution time. Task scheduling is an essential downside within the cloud computing that has to be optimized by combining different parameter. This paper explains the comparison of several job scheduling techniques with respect to several parameters, like response time, load balance, execution time and makespan of job to find the best and efficient task scheduling algorithm under these parameters. The comparison of scheduling algorithms is also discussed in tabular form in this paper which helps in finding the best algorithms.

Parallel Workload Scheduling in Cloud : A Survey 1

2014

The cloud computing paradigm is attracting an increased number of complex applications to run in remote data centers. Scheduling is an important issue in the cloud. The main goal of scheduling is distribute the load among processors and maximizing their utilization by minimizing the total task execution time and also maintaining the level of responsiveness of parallel jobs. Existing parallel scheduling mechanisms have some drawbacks such as context switching rate, large waiting times and large response time. The paper presents a comparative study on various scheduling algorithms used in the cloud. This papaer discusses three techniques backfilling, gang scheduling and migration and also propose a two tier architecture for workload consolidation.

Implementation of various task scheduling algorithm on cloud environment

2022

The provider of the service today is expected to serve many users. The increasing number of requests for services from the users to the providers has caused the providers of the service to have to offer scalable solutions. In the cloud computing environment, various scheduling algorithms have been proposed, such as the (SJF) and (FCFS) algorithms. Using cloud computing, the paper seeks to improve the shortest job scheduling algorithm. In tasks scheduling (TS), makepan and response time are the most important parameters. In order to reduce the length of time to complete the last task (Makespan), decrease the average response time, and maximize resource utilization, we present a Shortest Job First algorithm. This method consists of two functions, one is the calculation of the average task length, and the other is load balancing between virtual machines. Sending the longest tasks to the fastest machine is one of the benefits of SJF.

A Survey On Various Types Of Task Scheduling Algorithm In Cloud Computing Environment

International Journal of Scientific & Technology Research, 2020

Now a days, Cloud computing has become an significant and most popular computing model that usually supports on demand servic es. Cloud Computing provides its services on pay-as-you-go basis .By using cloud computing resources expeditiously and by reducing in managing time and cost and increasing the outcome of the project is the main idea of cloud service provider. Therefore, using effective cloud scheduling algorithms is still main concern in cloud computing. Task scheduling is a pivotal part in the field of the cloud environment. In task scheduling user requests for certain task, then tasks are scheduled to certain resources at a specific exemplification of time. Basically task scheduling mainly f ocuses to diminish the make span and lengthen the resource utilization. Task scheduling is an Non Polynomial-Complete problem. There are lots of subsisting trail-and-error techniques for task scheduling till now but more amelioration and rectification is needed for better execution and ...

Task Scheduling in Cloud Computing: A Survey

international journal for research in applied science and engineering technology ijraset, 2020

The on-demand availability of computer system resources such as data storage and computing power is cloud computing. Scheduling is the method of allocating jobs onto resources in time. Scheduling increases the efficiency and performance of cloud environment by maximizing the resource utilization. This scheduling process has to respect constraints given by the jobs and the cloud providers. Ordering the tasks by scheduler along with maintaining the balance between Quality of Service (QoS), fairness and efficiency of jobs is difficult. Scheduling algorithms are designed and implemented considering some parameters like latency, cost, priority, etc. The aim of this paper is a study of various types of job scheduling algorithms that provide efficient cloud services.

Task-Scheduling Algorithms in Cloud Environment

Cloud computing has increased its popularity due to which it is been used in various sectors. Now it has come to light and is in demand because of amelioration in technology. Many applications are submitted to the data centers, and services are given as pay-per-use basis. As there is an increase in the client demands, the workload is increased, and as there are limited resources, workload is moved to different data centers in order to handle the client demands on as-you-pay basis. Hence, scheduling the increasing demand of workload in the cloud environments is highly necessary. In this paper, we propose three different task-scheduling algorithms such as Minimum-Level Priority Queue (MLPQ), MIN-Median, Mean-MIN-MAX which aims to minimize the makespan with maximum utilization of cloud. The results of our proposed algorithms are also compared with some existing algorithms such as Cloud List Scheduling (CLS) and Minimum Completion Cloud (MCC) Scheduling.

Study of Task Scheduling Algorithms in the Cloud Computing Environment : A Review

2017

Cloud computing is a recent advancement in the internet world .The internet world has been revolutionized by this provision of shared resources. Cloud service providers compete for scalability of virtualized resources dynamically. The performance and efficiency of cloud computing services always depend upon the performance of the user tasks submitted to the cloud system. Cloud services performance can be significantly improved by scheduling the user tasks. The cost emerging from data transfers between resources as well as execution costs must also be taken into consideration while optimizing system efficiency in scheduling. Moving applications to a cloud computing environment trigger the need for scheduling as it enables the utilization of various cloud services to facilitate execution. Service provider’s goal is to utilize the assets effectively and increase benefit. This makes task scheduling as a core and challenging issue in cloud computing. It is the process of mapping task to ...

Task Scheduling Algorithms in Cloud Computing: A Review

Turkish Journal of Computer and Mathematics Education, 2021

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.

Improved Task Scheduling Algorithm in Cloud Environment

International Journal of Computer Applications, 2014

Cloud computing is one of the hottest word in IT world and it having huge demand in these days. Some big IT companies like Google, IBM, Microsoft, Amazon, Yahoo and others develop cloud computing systems and products related to it for customers. But still customers are having difficulties for adopting the cloud computing, that is only because of the security issues exist in it. Cloud Computing is collection of large number of resources like hardware and software that are provided by the cloud providers to the consumers as a service over the internet. In cloud computing every task requires to be executed by available resource to achieve minimum waiting time, reduce makespan, best performance and maximum utilization of resources. To achieve these requirements we proposed an efficient scheduling algorithm which will work effectively to provide better result as compared with the traditional scheduling approaches. For this CloudSim framework is used to simulate the proposed algorithm under various conditions and presented the better results with reduced the waiting time and processing time with optimum resource utilization and minimum overhead for the same.