Name
Abstract | ||
|---|---|---|
Elastic behaviors enable Cloud Systems to auto-adapt to their incoming workloads, by provisioning and releasing computing resources, in a way to ensure a controlled compromise between performance and cost-saving requirements. However, due to the highly fluctuating workloads tendencies, it makes it difficult to predict how a cloud system would behave and to provide precise auto-adaptation action plans. In this paper, we propose a BRS (short for Bigraphical Reactive Systems) based approach to provide a formal description for cloud systems structures and their elastic behaviors using bigraphs and bigraphical reaction rules. In addition, elasticity strategies are introduced to encode cloud systems' auto-adaptation policies. Proposed approach is illustrated and evaluated through an example. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-91764-1_1 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Cloud computing,Elasticity controller,Strategies,Bigraphical reactive systems | ENCODE,Bigraph,Cloud systems,Computer science,Real-time computing,Provisioning,Formal description,Elastic cloud,Reactive system,Cloud computing,Distributed computing | Conference |
Volume | ISSN | Citations |
10797 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khaled Khebbeb | 1 | 1 | 1.71 |
| Hamza Sahli | 2 | 10 | 2.93 |
| Nabil Hameurlain | 3 | 88 | 12.28 |
| Faiza Belala | 4 | 46 | 20.89 |