Title :
Workstations uptime analysis framework to identify opportunity for forming ad-hoc computer clusters
Author :
Gan Chee Tak ; Ooi Boon Yaik ; Liew Soung Yue
Author_Institution :
Fac. of Inf. & Commun. Technol., Univ. Tunku Abdul Rahman, Kampar, Malaysia
Abstract :
Many solutions have been proposed to harness underutilized workstations to form ad-hoc and low-cost computer clusters. The success of forming ad-hoc computer clusters greatly depends on the usage characteristic of an organization. An organization with hundreds of workstations does not necessarily imply that it has the opportunity to form an ad-hoc computer cluster because different workstations may have different turned-on durations and these workstations may not be available at the same time depending on their users´ usage. The objective of this work is to devise a framework to predict when and which workstations may be turned-on and for how long based on previously monitored uptime. 97 workstations have been selected from a real environment for 42 days to test the proposed framework. From the test results, it showed that there are indeed turned-on patterns on weekly basis. Some workstations have more consistent repetitive turned-on patterns while some do not, and this work created a framework to distinguish these workstations. The contribution of this work is the creation of a framework that allows administrators to identify potential workstations for forming ad-hoc computer clusters of their environment.
Keywords :
workstation clusters; ad-hoc computer clusters; time 42 day; turned-on patterns; workstations uptime analysis framework; Clouds; Distributed computing; Monitoring; Organizations; Prediction methods; Workstations; Distributed Systems; Resource Management; Resource Monitoring; Resource Prediction;
Conference_Titel :
Computer, Communications, and Control Technology (I4CT), 2014 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-4556-6
DOI :
10.1109/I4CT.2014.6914181