AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2009
Gallo, Luigi; Coronato, Antonio
Pervasive Distributed Volume Rendering in a Lightweight Multi-agent Platform Proceedings Article
In: ICIS '09 Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, pp. 750–755, ACM, Seoul, Korea, 2009, ISBN: 978-1-60558-710-3.
Abstract | Links | BibTeX | Tags: Healthcare, Middleware, Multi-agent systems, Ray casting
@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}
}
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.