Authors:
Prashant Joshi
and
Bharat Deshpande
Affiliation:
Department of Computer Science & Information Systems, BITS Pilani K K Birla Goa Campus, Goa, India
Keyword(s):
Collaborative Computing Paradigms, IoT, Computing Paradigms, Cloud Computing, Edge Computing, Mist Computing, Software Architecture, Architecture Models, System Software Architecture, Collaborative Computing, Collaborating Paradigms.
Abstract:
Connected systems are omnipresent, are used to monitor and control remotely, collect data and information. A variety of software systems architectures are designed which exploit computing paradigms – Edge, Fog, Mobile and Cloud – that process and analyse the data. Such an analysis is pivotal in decision making to increase operational efficiency. IoT has transformed industries like logistics, healthcare, industrial automation and agriculture and continues to refine decision making process ultimately to enhance the systems operations and efficiency. Expanding service capability of systems, has been topic of academic research and, rests on the foundation of bringing all resources in unified resource pool and make different computing facilities collaborate. Making the different computing facilities to collaborate to realise this has been part of many theoretical and experimental studies. Industry applications have adopted such systems architectures that has enhanced the applications capa
bilities. This paper proposes a collaborative and unified method of system software architectures, for IoT environments, that leverage collaboration among computing paradigms. With a view to expand services, as and when needed, a unified, dynamic and distributed analytics software systems architecture was explored and experimented. Proposed collaborative method is validated through its application for vehicle and driver behaviour and data center cooling systems.
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