Open AccessStudy of Task Scheduling Strategy based on Trustworthiness
Author(s) -
Jun Qin,
Yukun 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.