Analysis of QoS in cooperative services for real time applications
Analysis of QoS in cooperative services for real time applications
Future complex architectures for Web-Services-based delivery of services and objects require applications able to deal with different levels of Quality of Service (QoS) and able to describe also the quality of the associated object. In order to allow applications adapting in front of degraded quality in a pre-determined way, all the nodes participating in a given business process shall coordinate their efforts in (i) deciding how to deal with service degradation/disruption, and in (ii) managing the overall quality (i.e., not only the Web-Service QoS but also the quality of the objects being delivered through the cooperative process). According to this rationale, one of the main goals of the Quadrantis project has been to investigate how to provide combined quality measurement of services and delivered objects, such as videos, voice, texts, or images. QoS modelling and management according to users’ needs are presented. Users will access services according to QoS Contracts negotiated with service providers, while the streaming content is based on user profiles, to face a more dynamic management of QoS deviations in the Real Time provisioning level. In our approach, applications can request QoS, and react and repair to violations of the terms set forth in contracts or in expected delivery parameters, such as bandwidth or frame rate. To this extent, we present a framework for providing applications and services with QoS adaptation functionality, through the step-wise induction of a monitoring and recovery solutions at both Web-Services and streaming layers. The foundations of the merging between the two layers, which deal with very different aspects and protocols, are based on quality.
463-484
Buccafurri, F.
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De Meo, P.
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Lax, G.
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Fugini, Mariagrazia
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Furnari, R.
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Goy, A.
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Lax, Gordon
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Lops, P.
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Modafferi, S.
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Pernici, B.
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Redavid, Domenico
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Semeraro, G.
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December 2008
Buccafurri, F.
be192aa6-1c45-4a44-8ad7-5d4925d14e36
De Meo, P.
f4c47b93-f5bf-4946-bbc4-44ce81ec9f28
Lax, G.
baa48916-54ef-4b64-b3cd-348cc5e128a0
Fugini, Mariagrazia
fca4b90f-a7a7-46db-807b-64e1186b9ec7
Furnari, R.
87738997-51da-4af1-8d99-d4e1a608c655
Goy, A.
fff0fafb-34b9-4cbc-bbe5-e79986b5bc19
Lax, Gordon
baa48916-54ef-4b64-b3cd-348cc5e128a0
Lops, P.
a87c1a96-2c13-4a87-9e9b-07f2a9239ecb
Modafferi, S.
2f15a6fa-a4c3-4f43-998f-df7d88f08a78
Pernici, B.
89bfe1e0-eced-4a7f-b847-b76ecbf6fe78
Redavid, Domenico
5109b7bb-3c61-4fa8-beb2-7dc979254b02
Semeraro, G.
7f3f9cf7-cb3c-433b-bbc4-411a802629f7
Buccafurri, F., De Meo, P., Lax, G., Fugini, Mariagrazia, Furnari, R., Goy, A., Lax, Gordon, Lops, P., Modafferi, S., Pernici, B., Redavid, Domenico and Semeraro, G.
(2008)
Analysis of QoS in cooperative services for real time applications.
Data and Knowledge Engineering, 67 (3), .
(doi:10.1016/j.datak.2008.08.004).
Abstract
Future complex architectures for Web-Services-based delivery of services and objects require applications able to deal with different levels of Quality of Service (QoS) and able to describe also the quality of the associated object. In order to allow applications adapting in front of degraded quality in a pre-determined way, all the nodes participating in a given business process shall coordinate their efforts in (i) deciding how to deal with service degradation/disruption, and in (ii) managing the overall quality (i.e., not only the Web-Service QoS but also the quality of the objects being delivered through the cooperative process). According to this rationale, one of the main goals of the Quadrantis project has been to investigate how to provide combined quality measurement of services and delivered objects, such as videos, voice, texts, or images. QoS modelling and management according to users’ needs are presented. Users will access services according to QoS Contracts negotiated with service providers, while the streaming content is based on user profiles, to face a more dynamic management of QoS deviations in the Real Time provisioning level. In our approach, applications can request QoS, and react and repair to violations of the terms set forth in contracts or in expected delivery parameters, such as bandwidth or frame rate. To this extent, we present a framework for providing applications and services with QoS adaptation functionality, through the step-wise induction of a monitoring and recovery solutions at both Web-Services and streaming layers. The foundations of the merging between the two layers, which deal with very different aspects and protocols, are based on quality.
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Published date: December 2008
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Local EPrints ID: 480187
URI: http://eprints.soton.ac.uk/id/eprint/480187
ISSN: 0169-023X
PURE UUID: 2d4be40b-8931-4504-8333-6db5431cd1a8
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Date deposited: 01 Aug 2023 17:00
Last modified: 17 Mar 2024 03:28
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Contributors
Author:
F. Buccafurri
Author:
P. De Meo
Author:
G. Lax
Author:
Mariagrazia Fugini
Author:
R. Furnari
Author:
A. Goy
Author:
Gordon Lax
Author:
P. Lops
Author:
S. Modafferi
Author:
B. Pernici
Author:
Domenico Redavid
Author:
G. Semeraro
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