Platforms for big data includes mechanisms and tools to model, organize, store and access big data (e.g. Apache Cassandra, Hbase, Amazon SimpleDB, Dynamo, Google BigTable). The resource management for those platforms is a complex task and must account also for multi-tenancy and infrastructure scalability. Human assisted control of Big data platform is unrealistic and there is a growing demand for autonomic solutions. In this paper we propose a QoS and energy-aware adaptation model designed to cope with the real case of a Cassandra-as-a-Service provider.
An energy-aware adaptation model for big data platforms / Casalicchio, Emiliano; Lundberg, Lars; Shirinbad, Sogand. - STAMPA. - (2016), pp. 349-350. (Intervento presentato al convegno 13th IEEE International Conference on Autonomic Computing, ICAC 2016 tenutosi a Wurzburg; Germany nel 2016) [10.1109/ICAC.2016.13].
An energy-aware adaptation model for big data platforms
Casalicchio, Emiliano
;
2016
Abstract
Platforms for big data includes mechanisms and tools to model, organize, store and access big data (e.g. Apache Cassandra, Hbase, Amazon SimpleDB, Dynamo, Google BigTable). The resource management for those platforms is a complex task and must account also for multi-tenancy and infrastructure scalability. Human assisted control of Big data platform is unrealistic and there is a growing demand for autonomic solutions. In this paper we propose a QoS and energy-aware adaptation model designed to cope with the real case of a Cassandra-as-a-Service provider.| File | Dimensione | Formato | |
|---|---|---|---|
|
Casalicchio_Energy-aware_2016.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
140.01 kB
Formato
Adobe PDF
|
140.01 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
