A deadline constrained scheduling algorithm for cloud computing system based on the driver of dynamic essential path

To solve the problem of the deadline-constrained task scheduling in the cloud computing system, this paper proposes a deadline-constrained scheduling algorithm for cloud computing based on the driver of dynamic essential path (Deadline-DDEP). According to the changes of the dynamic essential path of each task node in the scheduling process, the dynamic sub-deadline strategy is proposed. The strategy assigns different sub-deadline values to every task node to meet the constraint relations among task nodes and the user’s defined deadline. The strategy fully considers the dynamic sub-deadline affected by the dynamic essential path of task node in the scheduling process. The paper proposed the quality assessment of optimization cost strategy to solve the problem of selecting server for each task node. Based on the sub-deadline urgency and the relative execution cost in the scheduling process, the strategy selects the server that not only meets the sub-deadline but also obtains much lower execution cost. In this way, the proposed algorithm will make the task graph complete within its deadline, and minimize its total execution cost. Finally, we demonstrate the proposed algorithm via the simulation experiments using Matlab tools. The experimental results show that, the proposed algorithm produces remarkable performance improvement rate on the total execution cost that ranges between 10.3% and 30.8% under meeting the deadline constraint. In view of the experimental results, the proposed algorithm provides better-quality scheduling solution that is suitable for scientific application task execution in the cloud computing environment than IC-PCP, DCCP and CD-PCP.

[1]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[2]  MoghaddamMohsen Ebrahimi,et al.  A bipartite genetic algorithm for multi-processor task scheduling , 2009 .

[3]  Rajkumar Buyya,et al.  A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[4]  Mohammed Joda Usman,et al.  Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment , 2017, PloS one.

[5]  Salim Hariri,et al.  Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing , 2002, IEEE Trans. Parallel Distributed Syst..

[6]  T. Neumann.  Computers And Intractability A Guide To The Theory Of Np Completeness , 2016 .

[7]  Santwana Sagnika,et al.  Workflow scheduling in cloud computing environment using Cat Swarm Optimization , 2014, 2014 IEEE International Advance Computing Conference (IACC).

[8]  Edward A. Lee,et al.  A Compile-Time Scheduling Heuristic for Interconnection-Constrained Heterogeneous Processor Architectures , 1993, IEEE Trans. Parallel Distributed Syst..

[9]  Zheng Wei,et al.  Cloud Computing:System Instances and Current Research , 2009 .

[10]  T. Kokilavani,et al.  Load Balanced MinMin Algorithm for Static MetaTask Scheduling in Grid Computing , 2011 .

[11]  Eunmi Choi,et al.  A service-oriented taxonomical spectrum, cloudy challenges and opportunities of cloud computing , 2012, Int. J. Commun. Syst..

[12]  Sakshi Kaushal,et al.  Budget constrained priority based genetic algorithm for workflow scheduling in cloud , 2013, ARTCom 2013.

[13]  Bryan Ng,et al.  A Deadline Constrained Critical Path Heuristic for Cost-Effectively Scheduling Workflows , 2015, 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC).

[14]  Raouf Boutaba,et al.  Cloud computing: state-of-the-art and research challenges , 2010, Journal of Internet Services and Applications.

[15]  T. Kokilavani,et al.  Load Balanced Min-Min Algorithm for Static Meta-Task Scheduling in Grid Computing , 2011 .

[16]  Muhammad Shafie Abd Latiff,et al.  Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm , 2016, PloS one.

[17]  Jiong Yu,et al.  A workflow task scheduling algorithm based on the resources' fuzzy clustering in cloud computing environment , 2015, Int. J. Commun. Syst..

[18]  Ali Shatnawi,et al.  Static scheduling of directed acyclic data flow graphs onto multiprocessors using particle swarm optimization , 2013, Comput. Oper. Res..

[19]  Shafii Muhammad Abdulhamid,et al.  Fault tolerance aware scheduling technique for cloud computing environment using dynamic clustering algorithm , 2016, Neural Computing and Applications.

[20]  Jinjun Chen,et al.  An evaluation method of outsourcing services for developing an elastic cloud platform , 2010, The Journal of Supercomputing.

[21]  Chengfeng Jian,et al.  Time-Constrained Workflow Scheduling In Cloud Environment Using Simulation , 2013 .

[22]  Shafii Muhammad Abdulhamid,et al.  Resource scheduling for infrastructure as a service (IaaS) in cloud computing: Challenges and opportunities , 2016, J. Netw. Comput. Appl..

[23]  Yong Zhao,et al.  Cloud Computing and Grid Computing 360-Degree Compared , 2008, GCE 2008.

[24]  Yu Xin,et al.  A Scheduling Algorithm for Cloud Computing System Based on the Driver of Dynamic Essential Path , 2016, PloS one.

[25]  Dick H. J. Epema,et al.  Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds , 2013, Future Gener. Comput. Syst..

[26]  Zheng Chao.  Survey of research progress on cloud computing , 2010 .

[27]  Dick H. J. Epema,et al.  Cost-driven scheduling of grid workflows using Partial Critical Paths , 2010, 2010 11th IEEE/ACM International Conference on Grid Computing.

[28]  Rajkumar Buyya,et al.  Cost-based scheduling of scientific workflow applications on utility grids , 2005, First International Conference on e-Science and Grid Computing (e-Science'05).

[29]  Adriana Giret,et al.  Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm , 2013 .

[30]  Sakshi Kaushal,et al.  Bi-Criteria Priority based Particle Swarm Optimization workflow scheduling algorithm for cloud , 2014, 2014 Recent Advances in Engineering and Computational Sciences (RAECS).

[31]  Mohammad Masdari,et al.  Towards workflow scheduling in cloud computing: A comprehensive analysis , 2016, J. Netw. Comput. Appl..

[32]  Mohammad Reza Bonyadi,et al.  A Bipartite Genetic Algorithm for Multi-processor Task Scheduling , 2009, International Journal of Parallel Programming.

[33]  Shafii Muhammad Abdulhamid,et al.  Recent advancements in resource allocation techniques for cloud computing environment: a systematic review , 2016, Cluster Computing.

[34]  Mei-Hui Su,et al.  Characterization of scientific workflows , 2008, 2008 Third Workshop on Workflows in Support of Large-Scale Science.

[35]  Shafii Muhammad Abdulhamid,et al.  On-Demand Grid Provisioning Using Cloud Infrastructures and Related Virtualization Tools: A Survey and Taxonomy , 2014, ArXiv.

[36]  Wang Dong-hui.  Overview of workflow technology in scientific process , 2011 .

[37]  MasdariMohammad,et al.  Towards workflow scheduling in cloud computing , 2016 .

[38]  Xiao Liu,et al.  A market-oriented hierarchical scheduling strategy in cloud workflow systems , 2011, The Journal of Supercomputing.