Learning Service Semantics for Self-Organization in Distributed Environments: Concepts and Research Directions

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2018 IEEE Military Communications Conference, MILCOM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1080-1085
Number of pages6
ISBN (Electronic)9781538671856
DOIs
StatePublished - Jan 2 2019
Event2018 IEEE Military Communications Conference, MILCOM 2018 - Los Angeles, United States
Duration: Oct 29 2018Oct 31 2018

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM
Volume2019-October

Conference

Conference2018 IEEE Military Communications Conference, MILCOM 2018
CountryUnited States
CityLos Angeles
Period10/29/1810/31/18

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Bent, G., De Mel, G., Ganti, R., La Porta, T., Pearson, G., Pham, T., Stein, S., Tassiulas, L., & Taylor, I. (2019). Learning Service Semantics for Self-Organization in Distributed Environments: Concepts and Research Directions. In 2018 IEEE Military Communications Conference, MILCOM 2018 (pp. 1080-1085). [8599809] (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2018.8599809