The I-Cluster Cloud: distributed management of idle resources for intense computing

Richard, Bruno; Maillard, Nicolas; Rose, César A. F. De; Novaes, Reynaldo

doi:10.1016/j.parco.2005.06.001

Cited by 4 publications

(1 citation statement)

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“…Compared to the physical environment, the virtual counterpart has added features like isolation, security, and fast deployment. HP Labs' researchers and their collaborators developed vCluster [15] and I-Cluster [16] that can switch workstation nodes between user-mode (Windows) and cluster-mode (Linux). A node in user-mode can automatically switch to cluster-mode when user idleness is detected, and likewise, it can switch back to user-mode when user presence is detected (or anticipated).…”

Section: Related Workmentioning

confidence: 99%

Deploying an Ad-Hoc computing cluster overlaid on top of public desktops

Palit

2016

2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)

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A computer laboratory is often a homogeneous environment, in which the computers have the same hardware and software settings. Conducting system tests in this laboratory environment is quite challenging, as the laboratory is supposed to be shared with regular classes. This manuscript details the use of desktop virtualization to deploy dynamically a virtual cluster for testing and ad-hoc purposes. The virtual cluster can support an environment completely different from the physical environment and provide application isolation essential for separating the testing environment from the regular class activities. Windows 7 OS was running in the host desktops, and VMware Workstation was employed as the desktop virtualization manager. The deployed virtual cluster comprised virtual desktops installed with Ubuntu Desktop Linux OS. Lightweight applications using VMware VIX library and shell scripts were developed and employed to manage job submission to the virtual cluster. Evaluations on the virtual cluster's deployment show that we can leverage on desktop virtualization to quickly and dynamically deploy a testing environment while exploiting the underutilized compute resources.

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Section: Related Workmentioning

confidence: 99%