Analysis of Methods for Planning Data Processing Tasks in Distributed Systems for the Remote Access to Information Resources : Topic: Communication and control systems and networks

Oksana Nass, Gaukhar A. Kamalova, Rauan Shotkin, Jan Rabčan

2021

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DOI 10.1109/idt52577.2021.9497583
Data confidence 70 medium
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Abstract

The article examines the possibility of reducing the time spent on performing tasks in distributed data processing systems, which are necessary for remote access to information resources. For this, the content and volume of annotation data of resources are analyzed; the main methods of scheduling task processing in distributed systems are identified and analyzed: Least Recently Used Node/Server, Resource consumption prediction, Random Selection, Queue metrics based and Elapsed-time prediction; SJF, SPN and SRTF; Time-sharing and Least Attained Service; FIFO, LIFO, RSS. The revealed techniques are analyzed under conditions of incompleteness of information about the resource requirements of distributed systems.