Proactive fault tolerance for HPC with Xen virtualization

By Arun Babu Nagarajan, Frank Mueller, Christian Engelmann, Stephen L. Scott. International Conference on Supercomputing, 2007

395 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/b17705c37bbdf156d6496933225572d9ff1566ae

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

Piccolo: Building Fast, Distributed Programs with Partitioned Tables (2010, background): “There has been continuous research on developing experimental features for MPI, such as optimization of collective operations [3], fault-tolerance via machine virtualization [34] and the use of hybrid checkpoint and logging for recovery [10].”
Performance and energy modeling for live migration of virtual machines (2011, background): “It has become an extremely powerful tool for system management in a variety of key scenarios, such as VM load balancing [37], fault tolerance [28], power management [29] and other applications [21, 33].”
Live virtual machine migration with adaptive, memory compression (2009, background): “A proactive scheme for fault tolerance [4] migrates VMs from unhealthy nodes to healthy ones.”
A survey on virtual machine migration and server consolidation frameworks for cloud data centers (2015, background): “…(Shiraz et al., 2013b, Yao et al., 2014), power efficiency (Dong et al., 2013; Mishra et al., 2012; Shrivastava et al., 2011), fault tolerance (Nagarajan et al., 2007, NGUYEN et al., 2013; Thein and Park, 2009), and system maintenance (Asberg et al., 2011; Liu et al., 2011; Wu et al., 2013;…”
Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation (2009, background): “Regarding the overhead due to migration activity, earlier studies have shown that experienced slowdown ranged between 1% and 8% of wall-clock time for a particular set of HPC benchmarks [5].”
Predicting the Performance of Virtual Machine Migration (2010, background): “…of moving the running VM. Previous studies have demonstrated that this can vary considerably between applications due to different memory usage patterns, ranging from 60 milliseconds when migrating a Quake game server [5] to 3 seconds in the case of High-Performance Computing benchmarks [6].”
An Early Performance Analysis of Cloud Computing Services for Scientific Computing (2008, neutral): “There has been a spur of research activity in assessing the performance of virtualized resources, in cloud computing environments and in general [42, 11, 34, 38, 33, 30 , 41, 35, 36].”
A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing (2009, background): “There has been a spur of research activity in assessing the performance of virtualized resources, in cloud computing environments and in general [33, 10, 23, 29, 21, 19, 32, 26, 27].”