Cloud computing has emerged as a promising environment capable of providing flexibility, scalability, elasticity, fail-over mechanisms, high availability, and other important features to applications. Compute clusters are relatively easy to create and use, but tools to effectively share cluster resources are lacking. CloudAlloc addresses this problem and schedules workloads to cluster resources using allocation algorithms that can be easily changed according to the objectives of the enterprise. It also monitors resource utilization and thus, provides accountability for actual usage. CloudAlloc is a lightweight, flexible, easy-to-use tool for cluster resource allocation that has also proved useful as a research platform. We demonstrate its features and also discuss its allocation algorithms that minimize power usage. CloudAlloc was implemented and is in use at HP Labs.
Scheda prodotto non validato
I dati visualizzati non sono stati ancora sottoposti a validazione formale da parte dello Staff di IRIS, ma sono stati ugualmente trasmessi al Sito Docente Cineca (Loginmiur).
Titolo: | CloudAlloc: A Monitoring and Reservation System for Compute Clusters |
Autori: | E., Iori; A., Simitsis; Palpanas, Themistoklis; K., Wilkinson; S., Harizopoulos |
Autori Unitn: | |
Autore/i del libro: | AA. VV. |
Titolo del volume contenente il saggio: | Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data |
Luogo di edizione: | New York |
Casa editrice: | ACM |
Anno di pubblicazione: | 2012 |
Codice identificativo Scopus: | 2-s2.0-84862646915 |
ISBN: | 9781450312479 |
Handle: | http://hdl.handle.net/11572/91991 |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |