Publications

@inproceedings{sabatucciMUSADistributedScalable2018,

title = {MUSA 2.0: A Distributed and Scalable Middleware for User-Driven Service Adaptation},

author = { Luca Sabatucci and Salvatore Lopes and Massimo Cossentino},

doi = {10.1007/978-3-319-59480-4_49},

year  = {2018},

date = {2018-01-01},

booktitle = {Intelligent Interactive Multimedia Systems and Services 2017 10},

pages = {492--501},

publisher = {Springer International Publishing},

abstract = {MUSA is an agent-based middleware for user-driven self-adaptation. It is based on the separation of concerns between user's goals and system's capabilities. This work analyses some architectural problems of the current implementation and illustrates a new architecture based on the agents and artifacts paradigm. textcopyright Springer International Publishing AG 2018.},

keywords = {Middleware, Multi agent systems, Self-Adaptive Systems},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cossentinoMUSAMiddlewareUserdriven2015,

title = {MUSA: A Middleware for User-driven Service Adaptation.},

author = { Massimo Cossentino and Carmelo Lodato and Salvatore Lopes and Luca Sabatucci},

year  = {2015},

date = {2015-01-01},

booktitle = {WOA},

pages = {1--10},

abstract = {One of the current challenges of Service Oriented Engineering is to provide instruments for dealing with dynamic and unpredictable environments and changing user requirements. Traditional approaches based on static workflows provide little support for adapting at runtime the flow of activities. MUSA (Middleware for User-driven Service Adaptation) is a holonic multi-agent system for the self-adaptive composition and orchestration of services in a distributed environment.},

keywords = {Automatic service composition, Middleware, Multi agent systems, Self-Adaptive Systems},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{galloPervasiveDistributedVolume2009,

title = {Pervasive Distributed Volume Rendering in a Lightweight Multi-agent Platform},

author = { Luigi Gallo and Antonio Coronato},

doi = {10.1145/1655925.1656062},

isbn = {978-1-60558-710-3},

year  = {2009},

date = {2009-11-01},

booktitle = {ICIS '09 Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human},

pages = {750--755},

publisher = {ACM},

address = {Seoul, Korea},

abstract = {In this paper, we present a service for a pervasive distribution of the computational load involved in the execution of high quality 3D rendering of medical volume data. The service is built upon an ad-hoc developed multi-agent middleware layer, which is in charge of executing user-defined tasks in hybrid peer-to-peer networks. Users' tasks are embedded in mobile agents and then spread in a platform composed by both fixed and mobile stations. Such agents are able to migrate among stations in order to ensure a certain degree of load balancing and dependability. The application scenario considered is a hospital, where intensive computing tasks can be edbend ectively executed on a large number of heterogeneous devices that are networked and typically only partially used. We also present the results of performance and dependability tests performed under real-world conditions.},

keywords = {Healthcare, Middleware, Multi-agent systems, Ray casting},

pubstate = {published},

tppubtype = {inproceedings}

}