SERSCIS-Ont: A Formal Metrics Model for Adaptive Service Oriented Frameworks
SERSCIS-Ont: A Formal Metrics Model for Adaptive Service Oriented Frameworks
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.
adaptive metrics, SOA, measurements, constraints, QoS
1-9
Surridge, Mike
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Chakravarthy, Ajay
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Bashevoy, Maxim
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Hall-May, Martin
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2010
Surridge, Mike
3bd360fa-1962-4992-bb16-12fc4dd7d9a9
Chakravarthy, Ajay
d5f40fb2-e262-49e1-9fcc-e1368e764d03
Bashevoy, Maxim
1b03d4b1-2f0f-41cb-b6d5-064d7f0a1f69
Hall-May, Martin
f082897f-a6ec-4fae-b555-a514ae3bd717
Surridge, Mike, Chakravarthy, Ajay, Bashevoy, Maxim and Hall-May, Martin
(2010)
SERSCIS-Ont: A Formal Metrics Model for Adaptive Service Oriented Frameworks.
Adaptive 2010, Lisbon, Portugal.
.
(doi:10.5258/SOTON/P1162).
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.
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2010_-_22391.pdf
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More information
Published date: 2010
Additional Information:
Event Dates: November 2010
Venue - Dates:
Adaptive 2010, Lisbon, 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
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Date deposited: 01 Jun 2011 13:26
Last modified: 26 Aug 2024 01:32
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Contributors
Author:
Mike Surridge
Author:
Ajay Chakravarthy
Author:
Maxim Bashevoy
Author:
Martin Hall-May
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