Data verification tasks scheduling based on dynamic resource allocation in mobile big data storage

摘要

Mobile cloud storage services bring convenient data accessing and sharing for mobile users while their data are outsourced into the remote cloud data storage space. They also pose the potential threat of data being deleted intentionally, data loss or corruption being held back by the data storage provider. Currently, the data integrity verification being executed by trusted public third-party verifiers in remote data storage has already become one of the primary technologies to solve this problem. However, the technology neglects the waste of resource caused by the invalid verification due to the data verifiers' limited capability and unlimited verification tasks. The authors propose a task scheduling algorithm of data verification based on dynamic resource allocation to reasonably evaluate the number of accepted tasks by the verifiers, and optimize the execution time of tasks and the amount of data storage provider's rented resource. The simulation results show that the proposed algorithm can exert the efficiency of the data verifiers' resource to the utmost extent by minimizing the task loss rate and the wastage of rented resource, i.e., both them achieve to 0. (C) 2017' Elsevier B.V. All rights reserved.