Name
Abstract | ||
|---|---|---|
In Wolke et al. 1 we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion paper, we describe the simulation framework and how to run simulations to replicate experiments or run new experiments within the framework. HighlightsSimulation and experimentation framework that allows an extensive evaluation of VM allocation strategies.Supports initial VM allocation controllers and dynamic controllers with VM migrations and random VM arrivals/departures.More than 200 time series data sets describing workload in enterprise data centers.The software framework allows for the design of new experiments and the replication of those published in Wolke et al. 1. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.is.2015.12.004 | Information Systems |
Keywords | Field | DocType |
cloud computing,reproducibility | Virtual machine,Computer science,Workload,Server,Real-time computing,Resource allocation,Enterprise data management,Database,Software framework,Applied science,Cloud computing,Distributed computing | Journal |
Volume | ISSN | Citations |
abs/1703.00042 | Information Systems, Volume 59, July 2016, Pages 98-101, ISSN
0306-4379 | 6 |
PageRank | References | Authors |
0.43 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Wolke | 1 | 57 | 4.56 |
| Martin Bichler | 2 | 1262 | 145.16 |
| Fernando Seabra Chirigati | 3 | 205 | 16.38 |
| victoria steeves | 4 | 6 | 0.43 |