Abstract | ||
---|---|---|
•Efficient brokerage mechanisms for aiding decision-making in assigning cloud services.•We provide a mathematical formulation to model the Cloud Service Purchasing Problem.•Large and Adaptive Neighborhood Search approaches are provided.•The approaches are assessed based on a well-defined and rich set of problem instances. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.eswa.2019.113165 | Expert Systems with Applications |
Keywords | Field | DocType |
Decision support systems,Cloud computing,Multi-cloud,Cloud brokerage,Adaptive large neighborhood search,Microservices | Virtual machine,Programming paradigm,Computer science,Decision support system,Artificial intelligence,Purchasing,Machine learning,Cloud computing,Scalability,Distributed computing,Large neighborhood search | Journal |
Volume | ISSN | Citations |
147 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leonard Heilig | 1 | 67 | 8.39 |
Eduardo Lalla-Ruiz | 2 | 150 | 18.82 |
Stefan Voß | 3 | 592 | 46.77 |