Object

Title: I mpr oved M odel of Scheduling Algor ithm ; Улучшенная модель алгоритма планирования

Abstract:

Cluster computing is becoming increasingly practical for high performance computing research and development. A computer cluster is a set of connected computers that work together so that, they can be viewed as a single system. Clusters offer a scalable means of linking computers together to provide an expansive environment for hosting enterprise applications. As the number of nodes in cluster configurations grows, the cluster administration becomes more challenging. We need to study the challenges of cluster management and to provide a solution. To have an effective cluster management we need to have an effective task scheduling algorithm. With the explosive growth of information, the demand on computing is sharply increasing. Due to a large number of computing tasks, the scheduling algorithm is an important part of cluster computing and has a great influence on the quality of claster service. In cluster computing, some large tasks may occupy too many resources and some small tasks may wait for a long time based on First-In-First-Out (FIFO) scheduling algorithm. This paper provides an overview of an improved scheduling algorithm that shortens the execution time of tasks and increases the resource utilization.
; В статье вводится улучшенную модель алгоритма планирования, которая уменьшает время выполнения задач и увеличивает использование ресурсов системы. В вышеупомянутом алгоритме каждая задача характеризуется параметрами (√,β,ω), где √-количество узлов кластера, необходимых для выполнения этой задачи, β- максимальное время, необходимое для выполнения этой задачи, а ω -максимальное время, что эта задача может подождать до назначения для запуска.

Date submitted:

10.04.2018

Date accepted:

28.11.2018

Identifier:

oai:noad.sci.am:135908

ISSN:

0131-4645

Language:

English

Journal or Publication Title:

Mathematical Problems of Computer Science

Volume:

50

URL:


Additional Information:

artvardanyan@asnet.am

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Indexing:

ASCI

Object collections:

Last modified:

Mar 4, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

4

All available object's versions:

https://noad.sci.am/publication/149501

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