Study of Task Scheduling Strategy based on Trustworthiness | Zendy

Jun Qin | Zendy; Yanyan SONG | Zendy; Ping Zong | Zendy

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Study of Task Scheduling Strategy based on Trustworthiness

Author(s) -

Jun Qin,

Yanyan SONG,

Ping Zong

Publication year - 2021

Publication title -

international journal of distributed and parallel systems

Language(s) - English

Resource type - Journals

eISSN - 2229-3957

pISSN - 0976-9757

DOI - 10.5121/ijdps.2021.12501

Subject(s) - computer science , cloudsim , distributed computing , cloud computing , scheduling (production processes) , trustworthiness , fault tolerance , operating system , computer security , operations management , economics

MapReduce is a distributed computing model for cloud computing to process massive data. It simplifies the writing of distributed parallel programs. For the fault-tolerant technology in the MapReduce programming model, tasks may be allocated to nodes with low reliability. It causes the task to be reexecuted, wasting time and resources. This paper proposes a reliability task scheduling strategy with a failure recovery mechanism, evaluates the trustworthiness of resource nodes in the cloud environment and builds a trustworthiness model. By using the simulation platform CloudSim, the stability of the task scheduling algorithm and scheduling model are verified in this paper.

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