• 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