A Fair Resource Allocation Approach in Cloud Computing Environments
| Autor: | Mohamed Hamdi, Sami Tabbane, Asma Ben Letaifa, Maha Jebalia |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Process (engineering) business.industry Quality of service Cloud computing Context (language use) 02 engineering and technology 021001 nanoscience & nanotechnology Computer security computer.software_genre Outsourcing 0202 electrical engineering electronic engineering information engineering Resource allocation 020201 artificial intelligence & image processing 0210 nano-technology business Host (network) Cloud storage computer |
| Zdroj: | WETICE |
| DOI: | 10.1109/wetice.2018.00017 |
| Popis: | Cloud Computing is an environment offering a wide range of on-demand services. It allows the Cloud users to outsource their data offering them resources to store their data and documents, process their applications, etc. However, although these resources seem to be infinite, they are in reality limited and the data centers have a limited capacity to host data and applications. Therefore, Cloud users are always competing trying to have all of the necessary resources for applications processing and data storage. So, it is compulsory that Cloud providers find a mechanism allowing them to share in a transparent way the various resources between users. In this context, our research work consists in studying and proposing approaches for resources allocation in a Cloud Computing environment where various users share the resources of several Cloud providers while respecting QoS and security criteria defined via SLAs. The work undertaken in this paper handle mainly two points which are guaranteeing resources availability using game-theoretic approaches and providing fair and secure resource allocation between the various users of Cloud using DRF mechanism. |
| Databáze: | OpenAIRE |
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