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Best ACM SAC Articles on Coordination and Self-Adaptation

Best ACM SAC Articles on Coordination and Self-Adaptation Best ACM SAC Articles on Coordination and Self-Adaptation The continuous evolution of information and communication technology (ICT) systems opens a broad range of potential applications in domains such as smart environments, transportation, and energy management. However, it also brings a dramatic increase in complexity: the envisioned ICT systems run in highly dynamic socio-technico-physical environments, often composed of thousands or even millions of connected heterogeneous components, including social networks, web services, mobile computational devices, data centers, and environmental sensors. Traditional centralized approaches hardly deal with those new requirements, especially as far as robustness, resiliency, and complexity are concerned. Rather, computation needs to be carried out in a fully distributed way, and each computational component needs to be autonomous, adaptive, able to perceive contextual information from its environment, and able to collaborate with other components to coordinate emerging complex behaviors. Coordination models and languages, traditionally introduced to tackle interactions in complex systems by suitably designed abstractions such as shared spaces and channels, play a key role in such future and emerging ICT systems. A coordination model simplifies the integration of heterogeneous components (processes, objects, agents, services) and makes the resulting ensemble more smoothly executed as a whole, forming a distributed http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2014 by ACM Inc.
ISSN
1556-4665
DOI
10.1145/2628613
Publisher site
See Article on Publisher Site

Abstract

Best ACM SAC Articles on Coordination and Self-Adaptation The continuous evolution of information and communication technology (ICT) systems opens a broad range of potential applications in domains such as smart environments, transportation, and energy management. However, it also brings a dramatic increase in complexity: the envisioned ICT systems run in highly dynamic socio-technico-physical environments, often composed of thousands or even millions of connected heterogeneous components, including social networks, web services, mobile computational devices, data centers, and environmental sensors. Traditional centralized approaches hardly deal with those new requirements, especially as far as robustness, resiliency, and complexity are concerned. Rather, computation needs to be carried out in a fully distributed way, and each computational component needs to be autonomous, adaptive, able to perceive contextual information from its environment, and able to collaborate with other components to coordinate emerging complex behaviors. Coordination models and languages, traditionally introduced to tackle interactions in complex systems by suitably designed abstractions such as shared spaces and channels, play a key role in such future and emerging ICT systems. A coordination model simplifies the integration of heterogeneous components (processes, objects, agents, services) and makes the resulting ensemble more smoothly executed as a whole, forming a distributed

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS)Association for Computing Machinery

Published: Jul 1, 2014

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