Constructing distributed time-critical applications using cognitive enabled services
| Autor: | Liang Ma, Christopher Simpkin, Ian Taylor, Mudhakar Srivatsa, Geeth de Mel, Swati Rallapalli, Graham Bent |
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| Rok vydání: | 2019 |
| Předmět: |
Service (systems architecture)
Computer Networks and Communications Computer science Wireless network business.industry Distributed computing 020206 networking & telecommunications 02 engineering and technology Mobile ad hoc network Construct (python library) QA76 Workflow Hardware and Architecture Analytics Scalability 0202 electrical engineering electronic engineering information engineering Wireless 020201 artificial intelligence & image processing business Software |
| Zdroj: | Future Generation Computer Systems. 100:70-85 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2019.04.010 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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