Accurate, continuous resource monitoring and profiling are critical for enabling performance tuning and scheduling op-timization. In desktop grid systems that employ sandbox-ing, these issues are challenging because (1) subjobs in-side sandboxes are executed in a virtual computing envi-ronment and (2) the state of the virtual computing environ-ment within the sandboxes is reset to empty after each sub-job completes. DGMonitor is a monitoring tool which builds a global, ac-curate, and continuous view of real resource utilization for desktop grids with sandboxing. Our monitoring tool mea-sures performance unobtrusively and reliably, uses a simple performance data model, and is easy to use. Our measure-ments demonstrate that DGMonitor can scal...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Desktop grids use the idle cycles of desktop PC's to provide huge computational power at low cost. H...
Corporations such as Boeing are currenlly using computational GRIDs to improve their operations. Fut...
Accurate and continuous monitoring and profiling are important issues of performance tuning and sche...
As the use of complex grid middleware becomes widespread and more facilites are offered by these pie...
Desktop Grids are rapidly gaining popularity as a cost-effective computing platform for the executio...
Desktop resources are attractive for running compute-intensive distributed applications. Several sy...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
The goal of the dissertation study was to evaluate the existing DG scheduling algorithm. The evaluat...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
AbstractGrid is a collection of heterogeneous systems which share the computing power and storage ca...
The grid computing paradigm has facilitated the instrumentation of complex, highly-demanding collabo...
Grid applications can combine the use of compute, storage, network, and other resources. These resou...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Desktop grids use the idle cycles of desktop PC's to provide huge computational power at low cost. H...
Corporations such as Boeing are currenlly using computational GRIDs to improve their operations. Fut...
Accurate and continuous monitoring and profiling are important issues of performance tuning and sche...
As the use of complex grid middleware becomes widespread and more facilites are offered by these pie...
Desktop Grids are rapidly gaining popularity as a cost-effective computing platform for the executio...
Desktop resources are attractive for running compute-intensive distributed applications. Several sy...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
Monitoring is critical for providing robust, high performance Grid environment. Without monitoring m...
The goal of the dissertation study was to evaluate the existing DG scheduling algorithm. The evaluat...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
AbstractGrid is a collection of heterogeneous systems which share the computing power and storage ca...
The grid computing paradigm has facilitated the instrumentation of complex, highly-demanding collabo...
Grid applications can combine the use of compute, storage, network, and other resources. These resou...
Context. When dealing with large data sets and heavy calculations the common solution is clusters, s...
Desktop grids use the idle cycles of desktop PC's to provide huge computational power at low cost. H...
Corporations such as Boeing are currenlly using computational GRIDs to improve their operations. Fut...