A model for client recommendation to a desktop grid server

Citation

Shafazand, Mohammad Yaser and Latip, Rohaya and Abdullah, Azizol and Hussin, Masnida (2013) A model for client recommendation to a desktop grid server. In: First International Conference on Advanced Data and Information Engineering (DaEng-2013), 16-18 Dec. 2013, Kuala Lumpur, Malaysia. (pp. 491-498).

Abstract

A vast amount of idle computational power of desktop computers could be utilized throughout desktop grids. For an appropriate utilization, the scheduler, needs to determine clients which are best suited to deliver assigned jobs in time. Diversity of hosts (i.e. OS, hardware and network specifications) and intermittent availability of resources are known issues which complicate the schedulers work. As a solution to this problem, a client–server model consisting two modules for a desktop grid middleware is discussed: a module to forecast machine resource availability in the client side and a module in the server side that recommends clients to the scheduler that are the nearest to job expectations. Historic data, time-series analyses and machine learning are used for this purpose in the modules.

Download File

Preview

Text (Abstract)
A model for client recommendation to a desktop grid server.pdf
Download (48kB) | Preview

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1007/978-981-4585-18-7_55
Publisher:	Springer
Keywords:	Desktop grid; Availability prediction; Case-based reasoning; Match-making; Recommender system
Depositing User:	Nabilah Mustapa
Date Deposited:	21 May 2018 03:27
Last Modified:	21 May 2018 03:27
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/978-981-4585-18-7_55
URI:	http://psasir.upm.edu.my/id/eprint/60358
Statistic Details:	View Download Statistic

Actions (login required)

View Item