A fuzzy logic approach for secure and fault tolerant grid job scheduling

Abstract

Secure grid computing needs fault tolerant job scheduling with security assurance at grid sites. However, the uncertainties of grid sites security and user jobs are main hurdle to make the job scheduling secure, reliable and fault-tolerant. Job replication is usually used in grids to provide fault tolerance and high scheduling success rate. A Fuzzy-logic based Self-Adaptive job Replication Scheduling (FSARS) algorithm is proposed to handle the fuzziness or uncertainties of job replication number which is highly related to trust factors behind grid sites or user jobs. Remote Sensing Based Soil Moisture Extraction (RSBSME) experiments were run to evaluate the proposed approach and the results show that a higher scheduling success rate and less grid resource utilization can be achieved through FSARS. And FSARS is applicable for grids where security conditions fluctuate frequently. © Springer-Verlag Berlin Heidelberg 2007.