Power Consumption Analysis of Replicated Virtual Applications in Heterogeneous Architectures

Gianfranco Ciardo (), Marco Gribaudo (), Mauro Iacono, Andrew Miner () and Pietro Piazzolla ()
Additional contact information
Gianfranco Ciardo: Iowa State University
Marco Gribaudo: Informazione E Bioingegneria, Politecnico Di Milano
Mauro Iacono: Seconda Università Degli Studi Di Napoli
Andrew Miner: Iowa State University
Pietro Piazzolla: Informazione E Bioingegneria, Politecnico Di Milano

A chapter in Digitally Supported Innovation, 2016, pp 285-297 from Springer

Abstract: Abstract Nowadays, power consumption in IT infrastructures is a major area of concern for both academia and industry. In data centers where computational power is provided by means of virtualized resources, like virtual machines, the policy to allocate them on physical servers can strongly impact the power consumption of the entire system. This affects data center management, and proper estimation means can offer an important guidance to administrators. We propose a lumped Petri net model to investigate the contribution to energy efficiency due to different allocation and deallocation policies on heterogeneous machines with different power demands, to support estimation and planning of datacenter needs.

Keywords: Energy efficiency; Generalized stochastic petrinets; Virtualized datacenters; Allocation policies; Performance evaluation (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-40265-9_21

Ordering information: This item can be ordered from
http://www.springer.com/9783319402659

DOI: 10.1007/978-3-319-40265-9_21

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().