A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers
By Benjamin Speitkamp, Martin Bichler. IEEE Transactions on Services Computing, 2010
382 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/49c98412b3e00154e2a9e6a9763463d7bdaa916c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Lei Ying
- Rayadurgam Srikant
- Emanuele Miucci
- Vincenzo Eramo
- F. G. Lavacca
- Henry Shu-Hung Chung
- Rolf Stadler
- Zhi-hui Zhan
In Information Systems
- Rayadurgam Srikant
- Henry Shu-Hung Chung
- Rolf Stadler
- Zhi-hui Zhan
- Siva Theja Maguluri
- Brendan Jennings
- Mostafa H. Ammar
- Jun Zhang
Citations in the corpus
- Resource Management in Clouds: Survey and Research Challenges (2015, background): “Some works augment the consolidation objective with the goal to minimize reallocations (live migrations) when new VMs are admitted, either by adding a second objective to the problem formulation [80], or by constraining the number of reallocations [202].”
- A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, background): “In [13] and [14], the authors described linear programming formulations of server consolidation problems.”
- An Approach for Service Function Chain Routing and Virtual Function Network Instance Migration in Network Function Virtualization Architectures (2017, methodology): “In such a case the RLARCDP reduces to the Multi-dimensional Bin Packing Problem that [33], Garey and Graham [34] have shown to be strongly NP-hard.”
- Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, background): “…is manageable through converting it to a combinatorial optimization problem such as a Linear Programming (LP) [Kumar and Balasubramanie 2012; Speitkamp and Bichler 2010], Integer Programming (IP) [Li and Guo 2010], Integer Linear Programming (ILP) [Genez et al. 2012], or constraint…”
- Stochastic models of load balancing and scheduling in cloud computing clusters (2012, methodology): “Best Fit is not Throughput Optimal: A Simple Example A scheduling policy that is used in practice is so called “best-fit” policy [14], [15], i.”
- An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, methodology): “In [27], a server consolidation problem is also formulated as an LP problem, solved with heuristics for a minimized server cost.”