A cloud resource management model for the creation and orchestration of social communities

A Ikram, A Anjum, Nik Bessis

Research output: Contribution to journalArticle

3 Citations (Scopus)
1 Downloads (Pure)

Abstract

Managing resources, context and data in mobile clouds is a challenging task. Specific aspects of spontaneity, large interaction space and dynamic interaction share a metaphorical resemblance to chemistry, chemical reactions and solutions. In this paper, it is argued that by adopting a nature-inspired chemical computing model, a mobile cloud resource management model can be evolved to serve as the basis for novel service modelling and social computing in mobile clouds. To support the argument, a chemistry inspired computation model, Chemistry for Context Awareness (C2A), is extended with Higher Order Chemical Language (HOCL) and High Level Petri-net Graph (HLPNG) formalisms. A scenario and simulation-based evaluation of the proposed model, focusing on two applications dynamic service composition and social communities identification, is also presented in this paper. The formal encoding of C2A validates its assumptions, enabling formal execution and analysis of context-based interactions that are derived using C2A principles.
Original languageEnglish
Pages (from-to)130-150
JournalSimulation Modelling Practice and Theory
Volume50
Early online date11 Jun 2014
DOIs
Publication statusPublished - 2015

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Orchestration
Resource Management
Chemistry
Interaction
Context-awareness
Computing
Service Composition
Petri nets
Chemical Reaction
Petri Nets
Chemical reactions
Encoding
Model
Higher Order
Scenarios
Resources
Evaluation
Graph in graph theory
Chemical analysis
Modeling

Cite this

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abstract = "Managing resources, context and data in mobile clouds is a challenging task. Specific aspects of spontaneity, large interaction space and dynamic interaction share a metaphorical resemblance to chemistry, chemical reactions and solutions. In this paper, it is argued that by adopting a nature-inspired chemical computing model, a mobile cloud resource management model can be evolved to serve as the basis for novel service modelling and social computing in mobile clouds. To support the argument, a chemistry inspired computation model, Chemistry for Context Awareness (C2A), is extended with Higher Order Chemical Language (HOCL) and High Level Petri-net Graph (HLPNG) formalisms. A scenario and simulation-based evaluation of the proposed model, focusing on two applications dynamic service composition and social communities identification, is also presented in this paper. The formal encoding of C2A validates its assumptions, enabling formal execution and analysis of context-based interactions that are derived using C2A principles.",
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A cloud resource management model for the creation and orchestration of social communities. / Ikram, A; Anjum, A; Bessis, Nik.

In: Simulation Modelling Practice and Theory, Vol. 50, 2015, p. 130-150.

Research output: Contribution to journalArticle

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AU - Anjum, A

AU - Bessis, Nik

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AB - Managing resources, context and data in mobile clouds is a challenging task. Specific aspects of spontaneity, large interaction space and dynamic interaction share a metaphorical resemblance to chemistry, chemical reactions and solutions. In this paper, it is argued that by adopting a nature-inspired chemical computing model, a mobile cloud resource management model can be evolved to serve as the basis for novel service modelling and social computing in mobile clouds. To support the argument, a chemistry inspired computation model, Chemistry for Context Awareness (C2A), is extended with Higher Order Chemical Language (HOCL) and High Level Petri-net Graph (HLPNG) formalisms. A scenario and simulation-based evaluation of the proposed model, focusing on two applications dynamic service composition and social communities identification, is also presented in this paper. The formal encoding of C2A validates its assumptions, enabling formal execution and analysis of context-based interactions that are derived using C2A principles.

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