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Titlebook: Remote Instrumentation and Virtual Laboratories; Service Architecture Franco Davoli,Norbert Meyer,Sandro Zappatore Conference proceedings 2

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41#
發(fā)表于 2025-3-28 17:05:18 | 只看該作者
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發(fā)表于 2025-3-28 20:19:44 | 只看該作者
43#
發(fā)表于 2025-3-29 01:15:40 | 只看該作者
Job Scheduling in Hierarchical Desktop Grids computing: users can volunteer their computers’ free CPU cycles to solve some kind of CPU-intensive problem. Creating a desktop grid project requires the installation of a single server and some enthusiast users to join the project by installing a simple client that downloads work from the server a
44#
發(fā)表于 2025-3-29 03:56:59 | 只看該作者
Towards QoS Provision for Virtualized Resources in Grids. In a vanilla Xen implementation the scheduler shares equally all of the available physical CPU resources among the contending VMs. However, when the application that runs in the virtual machine space changes dynamically its resource requirements, a different solution is needed. Furthermore, if the
45#
發(fā)表于 2025-3-29 08:32:07 | 只看該作者
From Grid Islands to a World Wide Gridtial roadmap establishing its grid equivalent, a scientific, workflow-oriented, computational World Wide Grid (WWG). In order to achieve such a WWG, this chapter suggests three major steps. First, create uniform meta-brokers and connect existing production grids by them in order to form the WWG infr
46#
發(fā)表于 2025-3-29 12:24:24 | 只看該作者
47#
發(fā)表于 2025-3-29 18:06:05 | 只看該作者
48#
發(fā)表于 2025-3-29 21:34:37 | 只看該作者
SoRTGrid: A Grid Framework Compliant with Soft Real-Time Requirementsh demanding quality of service requirements, like jobs with time constraints. For such class of applications, missing the required deadline can have unpredictable consequences, from loss of quality to inconsistent results. In this chapter we present SoRTGrid, a grid framework that provides a set of
49#
發(fā)表于 2025-3-30 01:48:33 | 只看該作者
50#
發(fā)表于 2025-3-30 04:35:53 | 只看該作者
A Network-Aware Grid for Efficient Parallel Monte Carlo Simulation of Coagulation Phenomenautilize massive memory and computing resources for the storage and processing of data generated by scientific equipment. The provision of grid-enabled remote instrumentation services is also a key challenge for high-speed next generation networks and cross-layer mechanisms, between grid middleware a
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