Client-side resource management on the cloud: survey and future directions

Frincu, M.E. ORCID: 0000-0003-1034-8409, Genaud, S. and Gossa, J., 2020. Client-side resource management on the cloud: survey and future directions. International Journal of Cloud Computing, 4 (3), pp. 234-257. ISSN 2043-9989

[img]
Preview
Text
1393275_Frincu.pdf - Post-print

Download (412kB) | Preview

Abstract

Cloud computing and how to bridge the gap between various providers is getting increasing attention. In this context, efficiently scheduling tasks on heterogeneous resources is of extreme importance. The state-of-the-art for this field has been continuously growing during the last years and has reached a point in which a comprehensive overview indicating current solutions and ongoing challenges is of extreme importance for researchers. This paper aims to offer this analysis from a client-side scheduling perspective in which emphasis is not put on physical resource selection but on task to virtual machine mappings and virtual machine allocation. It provides a taxonomy for the current state-of-the-art and a unified model concerning the various metrics and goals used throughout literature. This model is designed to be sufficiently generic, extensible, and comprehensive to support most of the future work in the field. Several promising research directions and existing challenges are described.

Item Type: Journal article
Publication Title: International Journal of Cloud Computing
Creators: Frincu, M.E., Genaud, S. and Gossa, J.
Publisher: Inderscience Publishers
Date: 2020
Volume: 4
Number: 3
ISSN: 2043-9989
Identifiers:
NumberType
10.1504/ijcc.2015.071728DOI
1393275Other
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 09 Dec 2020 09:27
Last Modified: 31 May 2021 15:10
URI: http://irep.ntu.ac.uk/id/eprint/41813

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year