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 e®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.

Pervasive Distributed Volume Rendering in a Lightweight Multi-agent Platform

Gallo Luigi;Coronato Antonio
2009

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 e®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.
2009
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
978-1-60558-710-3
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/70960
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact