Automated workload characterization in cloud-based transactional data grids

Ciciani, Bruno; Diego, Didona; Di Sanzo, Pierangelo; Palmieri, Roberto; Peluso, Sebastiano; Quaglia, Francesco; Romano, Paolo

doi:10.1109/IPDPSW.2012.192

Cloud computing represents a cost-effective paradigm to deploy a wide class of large-scale distributed applications, for which the pay-per-use model combined with automatic resource provisioning promise to reduce the cost of dependability and scalability. However, a key challenge to be addressed to materialize the advantages promised by Cloud computing is the design of effective auto-scaling and self-tuning mechanisms capable of ensuring pre-determined QoS levels at minimum cost in face of changing workload conditions. This is one of the keys goals that are being pursued by the Cloud-TM project, a recent EU project that is developing a novel, self-optimizing transactional data platform for the cloud. In this paper we present the key design choices underlying the development of Cloud-TM's Workload Analyzer (WA), a crucial component of the Cloud-TM platform that is change of three key functionalities: aggregating, filtering and correlating the streams of statistical data gathered from the various nodes of the Cloud-TM platform, building detailed workload profiles of applications deployed on the Cloud-TM platform, characterizing their present and future demands in terms of both logical (i.e. data) and physical (e.g. hardware-related) resources, triggering alerts in presence of violations (or risks of future violations) of pre-determined SLAs. © 2012 IEEE.

Titolo:	Automated workload characterization in cloud-based transactional data grids
Autori:	CICIANI, Bruno Diego Didona DI SANZO, Pierangelo PALMIERI, ROBERTO Peluso, Sebastiano QUAGLIA, Francesco ROMANO, Paolo mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2012
Handle:	http://hdl.handle.net/11697/160376
ISBN:	9780769546766
Appare nelle tipologie:	4.1 Contributo in Atti di convegno

File in questo prodotto:

Non ci sono file associati a questo prodotto.

Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/11697/160376

Citazioni

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

CINECA IRIS Institutional Research Information System

File in questo prodotto: