Joint VM placement and routing for data center traffic engineering
By Wenjie Jiang, Tian Lan, Sangtae Ha, Minghua Chen, Mung Chiang. 2012 Proceedings IEEE INFOCOM, 2012
382 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/532b2033ed22b81333cdc5a60c4a545849388ca9
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In Computer Networks and Communications
In Information Systems
Citations in the corpus
- Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System (2016, background): “[22] study VM placement and routing problem to minimize traffic costs and propose an efficient online algorithm in a dynamic environment under changing traffic loads.”
- Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing (2018, background): “Specifically, the goal of service placement in cloud computing can be categorized into: (1) consolidating the services to a smaller set of physical servers to improve the resource utilization and reduce the operational cost [11], (2) placing the services to a set of heterogeneous nodes to leverage t”
- Resource Management in Clouds: Survey and Research Challenges (2015, background): “[117] address data center traffic minimization via an online algorithm that exploits multi-path routing capabilities and live migration of VMs.”