Computer Science Department - University of Piemonte Orientale  

ShareGrid project

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  • ShareGrid
ShareGrid is a collaborative project, coordinated by TOPIX in the framework of the Innovation Development Program and funded by Regione Piemonte, aimed at providing a computing and storage service to the academic research community. The service is built upon a distributed regional Grid computing infrastructure and it is targeted to academic laboratories that have computational needs that cannot be fulfilled by local resources. ShareGrid's testbed is based on the OurGrid middleware, that will be tailored to the specific needs of the ShareGrid project (read more).

  • WEBMiNDS: Wide-scalE, Broadband Middleware for Network Distributed Services
WEBMinds is a research project, funded by the Italian Ministery of University and Research, aimed at developing a middleware platform providing:
  • Ubiquitous remote access (anything, anywhere, anytime)
  • Multimedia communications
  • Remote control
  • Service customization
  • Data downloading and uploading
The project started in 2002, and has been recently completed. Complete information about its main achievements, as well as on the involved participants, can be found on the project's website.

  • The File Mover
The FileMover is a data transfer infrastructure designed to optimize the transfer of potentially very large files. This system relies on an overlay network architecture, where a set of machines cooperate in the transfer by forwarding among them portions of the files being transferred. Data transfer times are minimized by choosing, for each transfer, the set of relays that maximize the expected throughput. Preliminary experiments show that the FileMover is able to profitably exploit existing network paths not chosen by IP routing algorithms, thereby enhancing file transfer performance (read more).

  • Fault-aware scheduling for Desktop Grids

Desktop Grids are increasingly being used in a number of application domains. These platforms can aggregate very large amount of processing power but, being characterized by a high resource volatility, require effective of scheduling techniques able to deal with resource failures and/or unplanned periods of unavailability. In this project we study fault-aware scheduling policies that, rather than just tolerating faults as done by traditional fault-tolerant schedulers, exploit the information concerning resource availability to improve application performance (read more).

  • The Interceptor resource management system

Interceptor is a software infrastructure, working at the middleware level, that is able to strictly enforce quantitative limitations on the usage of the various resources of a machine (CPU, disk and network bandwidth, physical memory), and at the same time make constrained applications achieve satisfactory performance even in face of these limitations (read more).


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