>
Fa   |   Ar   |   En
   Estimated interval-based checkpointing (EIC) on spot instances in cloud computing  
   
نویسنده jung d. ,lim j. ,yu h. ,suh t.
منبع journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
چکیده    In cloud computing,users can rent computing resources from service providers according to their demand. spot instances are unreliable resources provided by cloud computing services at low monetary cost. when users perform tasks on spot instances,there is an inevitable risk of failures that causes the delay of task execution time,resulting in a serious deterioration of quality of service (qos). to deal with the problem on spot instances,we propose an estimated interval-based checkpointing (eic) using weighted moving average. our scheme sets the thresholds of price and execution time based on history. whenever the actual price and the execution time cross over the thresholds,the system saves the state of spot instances. the bollinger bands is adopted to inform the ranges of estimated cost and execution time for user's discretion. the simulation results reveal that,compared to the hbc and rec,the eic reduces the number of checkpoints and the rollback time. consequently,the task execution time is decreased with eic by hbc and rec. the eic also provides the benefit of the cost reduction by hbc and rec,on average. we also found that the actual cost and execution time fall within the estimated ranges suggested by the bollinger bands. © 2014 daeyong jung et al.
آدرس department of computer science education,korea university, South Korea, department of computer science education,korea university, South Korea, department of computer science education,korea university, South Korea, department of computer science education,korea university, South Korea
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved