Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Observations on Using Genetic Algorithms for Dynamic Load-Balancing
IEEE Transactions on Parallel and Distributed Systems
Journal of Parallel and Distributed Computing
Workload Evolution on the Cornell Theory Center IBM SP2
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Task Execution Time Modeling for Heterogeneous Computing Systems
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Integrating Trust into Grid Resource Management Systems
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Security Implications of Typical Grid Computing Usage Scenarios
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
A genetic algorithm for resource-constrained scheduling
A genetic algorithm for resource-constrained scheduling
Risk-Resilient Heuristics and Genetic Algorithms for Security-Assured Grid Job Scheduling
IEEE Transactions on Computers
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
Future Generation Computer Systems
Selfish Grids: Game-Theoretic Modeling and NAS/PSA Benchmark Evaluation
IEEE Transactions on Parallel and Distributed Systems
Security in grid computing: A review and synthesis
Decision Support Systems
An ant algorithm for balanced job scheduling in grids
Future Generation Computer Systems
An efficient adaptive scheduling policy for high-performance computing
Future Generation Computer Systems
Resource Availability Prediction for Improved Grid Scheduling
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
An integrated security-aware job scheduling strategy for large-scale computational grids
Future Generation Computer Systems
Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm
Future Generation Computer Systems
Scheduling parallel applications on utility grids: time and cost trade-off management
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Future Generation Computer Systems
Computers & Mathematics with Applications
Security, energy, and performance-aware resource allocation mechanisms for computational grids
Future Generation Computer Systems
QoS based resource provisioning and scheduling in grids
The Journal of Supercomputing
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Scheduling and resource allocation in large scale distributed environments, such as Computational Grids (CGs), arise new requirements and challenges not considered in traditional distributed computing environments. Among these new requirements, task abortion and security become needful criteria for Grid schedulers. The former arises due to the dynamics of the Grid systems, in which resources are expected to enter and leave the system in an unpredictable way. The latter requirement appears crucial in Grid systems mainly due to a multi-domain nature of CGs. The main aim of this paper is to develop a scheduling model that enables the aggregation of task abortion and security requirements as additional, together with makespan and flowtime, scheduling criteria into a cumulative objective function. We demonstrate the high effectiveness of genetic-based schedulers in finding near-optimal solutions for multi-objective scheduling problem, where all criteria (objectives) are simultaneously optimized. The proposed meta-heuristics are experimentally evaluated in static and dynamic Grid scenarios by using a Grid simulator. The obtained results show the fast reduction of the values of basic scheduler performance metrics, especially in the dynamic case, that confirms the usefulness of the proposed approach in real-life scenarios.