Virtualizing Communication for Hybrid and Diversity-Aware Collective Adaptive Systems

Abstract: Hybrid and Diversity-Aware Collective Adaptive Systems(HDA-CAS) form a broad class of highly distributed systems comprising a number of heterogeneous human-based and machine-based computing(service) units. These units collaborate in ad-hoc formed, dynamically-adaptive collectives. The flexibility of these collectives makes them suit-able for processing elaborate tasks, but at the same time, building a system to support diverse communication types in such collectives is challenging. In this paper, we address the fundamental communication challenges for HDA-CAS. We present the design of a middleware for virtualizing communication within and among collectives of diverse types of service units. The middleware is able to handle numerous, intermittently available, human and software-based service units, and manages the notion of collectivity transparently to the programmer. A prototype implementation for validation purpose is also provided.

Citation: Philipp Zeppezauer, Ognjen Scekic, Hong-Linh Truong, and Schahram Dustdar. Virtualizing Communication for Hybrid and Diversity-Aware Collective Adaptive Systems. 10th International Workshop on Engineering Service-Oriented Applications (WESOA’14), 3 Nov, Paris, France, 2014.


About P. Andreadis

Pre-Doctoral Research Assistant in AI and Social Computation @ University of Edinburgh.

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