Location-Based Cloud Resource Allocation Based on Information of the Social Web
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Location-Based Cloud Resource Allocation Based on Information of the Social Web |
| 2. | Creator | Author's name, affiliation, country | Anna Schwanengel; Siemens AG, Systems Integration, Otto-Hahn-Ring 6, Munich; Germany |
| 2. | Creator | Author's name, affiliation, country | Alexander Schönl; Ludwig-Maximilians-University Munich, Institute of Informatics, Oettingenstr, Munich; Germany |
| 2. | Creator | Author's name, affiliation, country | Claudia Linnhoff-Popien; Ludwig-Maximilians-University Munich, Institute of Informatics, Oettingenstr, Munich; Germany |
| 3. | Subject | Discipline(s) | Resourcemanagement in Clouds |
| 3. | Subject | Keyword(s) | Cloud Computing; Cost Factors; Resource Management |
| 4. | Description | Abstract | The development of mechanisms as virtualization, load distribution, and data sharing has benefited the IT-evolution towards to cloud computing with its seemingly infinite resource capacities. This leads to novel approaches in resource provisioning and releasing. However, managing the cloud resource pool still needs manual configuration to react on changes in system load behaviour. This paper presents simulation results of the already described idea, which procures user-data based on social Web applications and uses this information for load forecasting. The solution includes the data of geocaching- or geotagging-services to determine how many people are located at a particular place with a specific interest focus. By inferring the pure load volume at a specific location and by the presented formulas, our system is able to provide an appropriately amount of resources. Thereby, we can optimize the trade-off between low costs with less resources and high user satisfaction with use of many machines. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2013-11-15 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | Theoretical Evaluation, Implementaion and Simulation |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJACCAR/article/view/Tech-187 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Cloud Computing and Applied Research; Published Papers |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | high range, current reseach |
| 15. | Rights | Copyright and permissions |
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