@Article{JICS-12-243,
author = {A. S. Faki and R. G. Jimoh},
title = {Reducing Checkpoint Overhead in Grid Environment},
journal = {Journal of Information and Computing Science},
year = {2017},
volume = {12},
number = {4},
pages = {243--247},
abstract = { Grid  Computing  has  become  major  player  in  super-computing  community.  But  due  to  the 
diversity  and  disruptive  nature  of  its  resources,  failure  of  jobs  is  not  an  exception.    However,  many 
researchers  have  come  up  with  models  that  enhance  jobs  survivability.  Popular  among  this  model  is 
checkpoint model which have the ability of saving already computed jobs on a stable secured storage. This 
model avoids re-computing of already computed jobs from the scratch in case of resources failure. But the 
time a job takes in checkpoinitng also becomes another task which adds overheads to computing resources 
thereby reducing the resources performance. In order not to add too many overheads to computing resources, 
the  number  of  checkpoints  must  be  minimized.  This  study  proposed  checkpoint  interval  models  which  is 
implemented based on fault index history of computing resources. Failed jobs are re-allocated from their last 
saved checkpoint using an exception handler. The study observed that arithmetic checkpoint model is better 
used when fault index of computing resources is high while geometric checkpoint model is better when fault 
index of resources is low. 
},
issn = {3080-180X},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22466.html}
}