Service modeling for opportunistic edge computing systems with feature engineering

Abstract The complex and opportunistic environment in which edge computing systems operate, poses a fundamental challenge for online edge system orchestration, resource provisioning and real-time responsiveness in response to user movement. Such a challenge needs to addressed throughout the edge system lifecycle, starting from the software development methodologies. In this paper, we propose a novel development process for modeling opportunistic edge computing services, which rely on (i) ETSI MEC reference architecture and Opportunistic Internet of Things Service modeling for the early stage of system analysis and design, i.e. domain model and service metamodel; and on (ii) feature engineering for evaluating those opportunistic aspects with data analysis. To address the identified opportunistic properties, at the service design phase we construct (both automatically and through domain expertise) Opportunistic Feature Vectors for Edge, containing the numerical representations of those properties. Such vectors enable further data analysis and machine learning techniques in the development of distributed, effective and efficient edge computing systems. Lastly, we exemplify the integrated process with a microservice-based user mobility management service, based on a real-world data set, for online analysis in MEC systems

1st International workshop on edge of things:enabling internet of things ecosystems through the edge computing (EoT 2019):message from the workshop chairs

Abstract Presents the introductory welcome message from the conference proceedings. May include the conference officers’ congratulations to all involved with the conference event and publication of the proceedings record

Re-Engineering IoT Systems through ACOSO-Meth:the IETF CoRE based agent framework case study

Abstract The Agent-based Cooperating Smart Objects methodology (ACOSO-Meth) fully supports the systematic development of Internet of Things (IoT) systems from analysis to implementation by tackling their manifold requirements (e.g., self-management, distributed smartness, interoperability). At the same time, ACOSO-Meth allows the re-engineering of existing IoT systems, thus enhancing their maintainability, reusability and extensibility. In such direction, this paper (i) first presents the integration of the resource-oriented agent framework complying with the IETF Constrained RESTful Environment (CoRE) framework into ACOSO-Meth; then (ii) reports a case study to exemplify the re-engineering of a resource-constrained agent application through the ACOSO-Meth metamodel-driven approach

Edge-based microservices architecture for Internet of things:mobility analysis case study

Abstract In this paper, we describe how the microservices paradigm can be used to design and implement distributed edge services for Internet of Things applications. As a case study, traditionally monolithic user mobility analysis service is developed, with distributed and extendable microservices, for the standardized ETSI MEC system reference architecture. In each of the edge system three tiers, microservices implement the service logic with components for movement trace analysis, movement prediction and visualization of the results. The distributed service is implemented with Docker containers and evaluated on real-world settings with low capacity edge servers and real user mobility data. The results show that the edge promise of low latency can be met in such as implementation. The integration of a software development technology with a standardized edge system provides solid background for further development