MAROQ: A Resource Allocation Model Driven through Quality of Experience
| Autor: | Douglas Dyllon Jeronimo de Macedo, Mario A. R. Dantas, Andre Luiz Tinassi D'Amato |
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| Rok vydání: | 2015 |
| Předmět: |
Database
Operations research business.industry Computer science Applied Mathematics media_common.quotation_subject Data management Context (language use) computer.software_genre Execution time Computer Science Applications Management Information Systems Grid computing Resource allocation Quality (business) Resource management The Internet Quality of experience business computer media_common |
| Zdroj: | WETICE |
| DOI: | 10.1109/wetice.2015.22 |
| Popis: | The trend of grid computing available on the internet has generated challenges to the allocation of resources provided by this type of environment. Many of these challenges can be solved by the quality of experience paradigm that takes into account several context parameters. In this context, this paper presents the proposal of a new quality of experience-driven model for resource allocation for grids named MAROQ. We detail an experimental evaluation using context information with MAROQ that presents improvements of 7.46% on the average execution time of tasks. |
| Databáze: | OpenAIRE |
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