DocumentCode :
2195264
Title :
An Algorithm in SwinDeW-C for Scheduling Transaction-Intensive Cost-Constrained Cloud Workflows
Author :
Yang, Yun ; Liu, Ke ; Chen, Jinjun ; Liu, Xiao ; Yuan, Dong ; Jin, Hai
Author_Institution :
Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Melbourne, VIC
fYear :
2008
fDate :
7-12 Dec. 2008
Firstpage :
374
Lastpage :
375
Abstract :
The concept of cloud computing has been wide spreading very recently. Cloud computing has many unique advantages which can be utilised to facilitate (cloud) workflow execution. Transaction-intensive cost-constrained cloud workflows are workflows with a large number of workflow instances (i.e. transaction intensive) bounded by a certain budget for execution (i.e. cost constrained) in a cloud computing environment (i.e. cloud workflows). However, there are not any specific scheduling algorithms so far for transaction-intensive cost-constrained cloud workflows. This paper presents a novel scheduling algorithm which considers the characteristics of cloud computing to accommodate transaction-intensive cost-constrained workflows by compromising execution time and cost with user input enabled on the fly. The simulation performed demonstrates that the algorithm can reduce the mean execution cost while meeting the user-requested deadline.
Keywords :
Internet; grid computing; scheduling; transaction processing; SwinDeW-C; Swinburne Decentralised for Cloud workflow system; cloud computing; scheduling algorithm; transaction-intensive cost-constrained cloud workflow; Australia; Cloud computing; Computer science; Cost function; Monitoring; Processor scheduling; Resource management; Scheduling algorithm; Throughput; User interfaces; Cloud Computing; Cloud Workflows; Cost-constrained workflows; Transaction-intensive workflows; Workflow Scheduling Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
Type :
conf
DOI :
10.1109/eScience.2008.93
Filename :
4736803
Link To Document :
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