The University of Southampton
University of Southampton Institutional Repository

SERSCIS-Ont: A Formal Metrics Model for Adaptive Service Oriented Frameworks

Surridge, Mike, Chakravarthy, Ajay, Bashevoy, Maxim and Hall-May, Martin (2010) SERSCIS-Ont: A Formal Metrics Model for Adaptive Service Oriented Frameworks At Adaptive 2010, Portugal. , pp. 1-9.

Record type: Conference or Workshop Item (Paper)

Abstract

In the Future Internet, programs will run on a dynamically changing collection of services, entailing the consumption of a more complex set of resources including financial resources. The von Neumann model offers no useful abstractions for such resources, even with refinements to address parallel and distributed computing devices. In this paper we detail the specification for a post-von Neumann model of metrics where program performance and resource consumption can be quantified and encoding of the behaviour of processes that use these resources is possible. Our approach takes a balanced view between service provider and service consumer requirements, supporting service management and protection as well as non-functional specifications for service discovery and composition.

PDF 2010_-_22391.pdf - Other
Download (262kB)

More information

Published date: 2010
Additional Information: Event Dates: November 2010
Venue - Dates: Adaptive 2010, Portugal, 2010-11-01
Keywords: adaptive metrics, SOA, measurements, constraints, QoS
Organisations: Electronics & Computer Science, IT Innovation

Identifiers

Local EPrints ID: 272391
URI: http://eprints.soton.ac.uk/id/eprint/272391
PURE UUID: 1057f0b7-eaa3-459a-a618-10b2c1c34b0a
ORCID for Maxim Bashevoy: ORCID iD orcid.org/0000-0003-2068-9047

Catalogue record

Date deposited: 01 Jun 2011 13:26
Last modified: 18 Jul 2017 06:25

Export record

Contributors

Author: Mike Surridge
Author: Ajay Chakravarthy
Author: Maxim Bashevoy ORCID iD
Author: Martin Hall-May

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×