A simple load balancing scheme for task allocation in parallel machines
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Measuring the quality of an artificial hormone system based task mapping
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Analyzing the Behavior of an Artificial Hormone System for Task Allocation
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PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Towards an artificial hormone system for self-organizing real-time task allocation
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ISORCW '10 Proceedings of the 2010 13th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops
Real-Time Distribution of Time-Dependant Tasks in Heterogeneous Environments
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Ordering of Time-Dependent Tasks for Self-Organized Resource Scheduling
ISORCW '11 Proceedings of the 2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops
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SAMOS'06 Proceedings of the 6th international conference on Embedded Computer Systems: architectures, Modeling, and Simulation
Introduction to the Special Issue: SORT 2010
Concurrency and Computation: Practice & Experience
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We present a new method to assign tasks, which are connected by time dependencies within a heterogeneous environment, (e.g., several resources communicating with each other). Our approach for task distribution uses an artificial hormone system, which is self-organizing and able to meet real-time constraints. Several enhancements to the artificial hormone system have been made, such as partial suppressing of tasks and distributed task termination.Copyright © 2011 John Wiley & Sons, Ltd.