IEEE Transactions on Computers
Journal of Parallel and Distributed Computing
Task Execution Time Modeling for Heterogeneous Computing Systems
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Run-Time Statistical Estimation of Task Execution Times for Heterogeneous Distributed Computing
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Forecasting network performance to support dynamic scheduling using the network weather service
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
Integrating Trust into Grid Resource Management Systems
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Risk-Resilient Heuristics and Genetic Algorithms for Security-Assured Grid Job Scheduling
IEEE Transactions on Computers
Scheduling of a meta-task with QoS requirements in heterogeneous computing systems
Journal of Parallel and Distributed Computing
Dynamically mapping tasks with priorities and multiple deadlines in a heterogeneous environment
Journal of Parallel and Distributed Computing
Scheduling multiple DAGs onto heterogeneous systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Evolutionary Fuzzy Scheduler for Grid Computing
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Future Generation Computer Systems
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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.