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Learning service semantics for self-organization in distributed environments: concepts and research directions

Learning service semantics for self-organization in distributed environments: concepts and research directions
Learning service semantics for self-organization in distributed environments: concepts and research directions

A key challenge in performing analytics in distributed environments is to automatically compose services to dynamically match operational tasks to information requirements, accounting for impact, in a many-to-many temporally and spatially complicated and complex situations. In dynamic and agile environments, such as coalition environments, the state of the network and resources cannot be completely known in advance nor controlled due to the evolving nature of the network and constraints that may preclude partners from accessing complete state information about different parts of the system. In addition, there may be requests made to the system that have not been made before, requiring services to be created on the fly. Motivated by these observations, in this paper, we present a critical analysis of gaps in the state-of-the-art and our vision to address those through novel theoretical contributions. We envision that such formalized and theorized fundamentals will enable service elements to automatically configure themselves to perform analytic tasks based on user specified goals by taking account of context-be it system or user context.

2155-7578
1080-1085
IEEE
Bent, Graham
2ffff5f2-e3e2-4492-a559-b14bd2078a06
De Mel, Geeth
40468fde-9709-4937-8058-f3ecd32f8471
Ganti, Raghu
2a43a38b-8bad-466a-b877-9b55a4c2bc80
La Porta, Tom
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Pearson, Gavin
edd42329-18a8-44cb-9939-b5f9c440d62e
Pham, Tien
3735ba81-11a0-45cc-bb52-5666fa47a4d7
Stein, Sebastian
fb227373-7242-4982-b84b-90bc79617a50
Tassiulas, Leandros
7457d150-1cdc-48de-9aff-308549167f33
Taylor, Ian
6e0997cc-1d6c-4a12-95cb-422935d21693
Bent, Graham
2ffff5f2-e3e2-4492-a559-b14bd2078a06
De Mel, Geeth
40468fde-9709-4937-8058-f3ecd32f8471
Ganti, Raghu
2a43a38b-8bad-466a-b877-9b55a4c2bc80
La Porta, Tom
15f9f4b5-613c-43d4-8b89-8f8d5277a2c0
Pearson, Gavin
edd42329-18a8-44cb-9939-b5f9c440d62e
Pham, Tien
3735ba81-11a0-45cc-bb52-5666fa47a4d7
Stein, Sebastian
fb227373-7242-4982-b84b-90bc79617a50
Tassiulas, Leandros
7457d150-1cdc-48de-9aff-308549167f33
Taylor, Ian
6e0997cc-1d6c-4a12-95cb-422935d21693

Bent, Graham, De Mel, Geeth, Ganti, Raghu, La Porta, Tom, Pearson, Gavin, Pham, Tien, Stein, Sebastian, Tassiulas, Leandros and Taylor, Ian (2019) Learning service semantics for self-organization in distributed environments: concepts and research directions. In 2018 IEEE Military Communications Conference, MILCOM 2018. vol. 2019-October, IEEE. pp. 1080-1085 . (doi:10.1109/MILCOM.2018.8599809).

Record type: Conference or Workshop Item (Paper)

Abstract

A key challenge in performing analytics in distributed environments is to automatically compose services to dynamically match operational tasks to information requirements, accounting for impact, in a many-to-many temporally and spatially complicated and complex situations. In dynamic and agile environments, such as coalition environments, the state of the network and resources cannot be completely known in advance nor controlled due to the evolving nature of the network and constraints that may preclude partners from accessing complete state information about different parts of the system. In addition, there may be requests made to the system that have not been made before, requiring services to be created on the fly. Motivated by these observations, in this paper, we present a critical analysis of gaps in the state-of-the-art and our vision to address those through novel theoretical contributions. We envision that such formalized and theorized fundamentals will enable service elements to automatically configure themselves to perform analytic tasks based on user specified goals by taking account of context-be it system or user context.

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More information

Published date: 3 January 2019
Venue - Dates: 2018 IEEE Military Communications Conference, Los Angeles, United States, 2018-10-29 - 2018-10-31

Identifiers

Local EPrints ID: 428319
URI: https://eprints.soton.ac.uk/id/eprint/428319
ISSN: 2155-7578
PURE UUID: 6a00605c-7e13-4947-b30a-6192fd3bdac6

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Date deposited: 21 Feb 2019 17:30
Last modified: 02 Apr 2019 16:30

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Contributors

Author: Graham Bent
Author: Geeth De Mel
Author: Raghu Ganti
Author: Tom La Porta
Author: Gavin Pearson
Author: Tien Pham
Author: Sebastian Stein
Author: Leandros Tassiulas
Author: Ian Taylor

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