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Constructing distributed time-critical applications using cognitive enabled services

Simpkin, Christopher, Taylor, Ian, Bent, Graham, de Mel, Geeth, Rallapalli, Swati, Ma, Liang and Srivatsa, Mudhakar 2019. Constructing distributed time-critical applications using cognitive enabled services. Future Generation Computer Systems 100 , pp. 70-85. 10.1016/j.future.2019.04.010
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Abstract

Time-critical analytics applications are increasingly making use of distributed service interfaces (e.g., micro-services) that support the rapid construction of new applications by dynamically linking the services into different workflow configurations. Traditional service-based applications, in fixed networks, are typically constructed and managed centrally and assume stable service endpoints and adequate network connectivity. Constructing and maintaining such applications in dynamic heterogeneous wireless networked environments, where limited bandwidth and transient connectivity are commonplace, presents significant challenges and makes centralized application construction and management impossible. In this paper we present an architecture which is capable of providing an adaptable and resilient method for on-demand decentralized construction and management of complex time-critical applications in such environments. The approach uses a Vector Symbolic Architecture (VSA) to compactly represent an application as a single semantic vector that encodes the service interfaces, workflow, and the time-critical constraints required. By extending existing services interfaces, with a simple cognitive layer that can interpret and exchange the vectors, we show how the required services can be dynamically discovered and interconnected in a completely decentralized manner. We demonstrate the viability of this approach by using a VSA to encode various time-critical data analytics workflows. We show that these vectors can be used to dynamically construct and run applications using services that are distributed across an emulated Mobile Ad-Hoc Wireless Network (MANET). Scalability is demonstrated via an empirical evaluation.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Decentralized Workflows, Quality of Service, Quality of Experience, Vector Symbolic Architectures, Distributed Fitness Functions,
Publisher: Elsevier
ISSN: 0167-739X
Funders: DIAS ITA
Date of First Compliant Deposit: 24 April 2019
Date of Acceptance: 3 April 2019
Last Modified: 01 Jul 2019 22:18
URI: http://orca-mwe.cf.ac.uk/id/eprint/116826

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