Neural networks: a systematic introduction
Neural networks: a systematic introduction
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
The Vision of Autonomic Computing
Computer
Managing Service Level Quality: Across Wireless and Fixed Networks
Managing Service Level Quality: Across Wireless and Fixed Networks
An Artificial Intelligence Perspective on Autonomic Computing Policies
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Research challenges of autonomic computing
Proceedings of the 27th international conference on Software engineering
Laying Pheromone Trails for Balanced and Dependable Component Mappings
IWSOS '09 Proceedings of the 4th IFIP TC 6 International Workshop on Self-Organizing Systems
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Adding autonomicity to computing systems seems to be a promising way to deal with the problem of increasing system complexity. One step along the way to self-managing computing systems --- especially with regard to distributed, modularized, service based environments --- is to solve the problem of how to autonomically decide in a most useful and resource efficient way which alternative to choose in order to deploy a service. Deploying a service means, to either copy or move it from a source to a destination device or to use it remotely. In this paper we motivate the domain of autonomic service deployment and present an approach for deployment decision making (DDM). We explain all steps of the deployment decision making process and assemble them into an algorithm accordingly. Furthermore, we define all necessary components of DDM and enumerate a set of research questions which we address in order to fully explore the concerned domain. An experiment illustrates the potential of the presented approach.