Black-box and Gray-box Strategies for Virtual Machine Migration
By Timothy Wood, Prashant J. Shenoy, Arun Venkataramani, Mazin S. Yousif. Symposium on Networked Systems Design and Implementation, 2007
989 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/31aa01d71c3c49d8b90c52f8169d472a7adc6102
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Citations in the corpus
- Entropy: a consolidation manager for clusters (2009, methodology): “31 nodes per hour, consolidation based on the previously-used First Fit Decreasing (FFD) heuristic [3, 17, 18] uses 15.”
- Virtual routers on the move: live router migration as a network-management primitive (2008, background): “For example, Sandpiper [35] automatically migrates virtual servers across a pool of physical servers to alleviate hotspots.”
- A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment (2010, background): “Sandpiper [12] system carries out dynamic monitoring and hotspot probing on the utility of system’s CPU, Memory resources and network bandwidth.”
- Mobile Cooperative Computing: Energy-Efficient Peer-to-Peer Computation Offloading (2017, unknown): “The former measures the usage of computation tasks by constructing CPU profile trees [20] or integrating the CPU distribution and time-series profiles [21].”
- Resource Management in Clouds: Survey and Research Challenges (2015, unknown): “, [243,153,113,158,34]).”
- Server-storage virtualization: Integration and load balancing in data centers (2008, background): “As part of future work, we plan to incorporate proactive migrations as well into the system, based on predicting workload needs from historical trends [15] and statistical models [37].”
- Shares and utilities based power consolidation in virtualized server environments (2009, background): “There is also relevant work on VM placement that optimizes existing virtualized environments using live migrations o f VMs [23], [24], [4].”
- Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting (2011, methodology): “Limitations in related work: The work in [2] and [3] do not relate the placement mechanism to an overall utility value to the Cloud provider.”
- Rethinking virtual network embedding: substrate support for path splitting and migration (2008, background): “, within a few seconds [29], and the virtual node can continue running in the old location until the migration completes.”
- Cloud computing: state-of-the-art and research challenges (2010, background): “It is known that the resource usage (also known as the footprint [45]) of individual VMs may vary over time [54].”
- Live virtual machine migration with adaptive, memory compression (2009, background): “Some virtual machine migration strategies [2][3] are proposed to balance VM loads among physical nodes.”