Making system of systems interoperable – The core components of the arrowhead framework

Varga, Pál; Blomstedt, Fredrik; Ferreira, Luís Lino; Eliasson, Jens; Johansson, Mats; Delsing, Jerker; Soria, Iker Martnez de

doi:10.1016/j.jnca.2016.08.028

Cited by 128 publications

(85 citation statements)

References 13 publications

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“…In particular, the Web Service technology has been proposed for realizing the SOA promise of maximum service sharing, reuse, and interoperability [66]. The classic web service oriented approach (WS-* web service) [61,67] and resource oriented approach (REST web services) [68,69] have been used to address syntactic interoperability. A study conducted by Pautasso et al [70] compared REST web services with WS-* servers and they concluded that RESTful services are preferred for tactical, ad-hoc integration over the Web, while WS-* are preferred for professional enterprise application integration scenarios.…”

Section: Service Oriented Architecture (Soa)mentioning

confidence: 99%

Interoperability in Internet of Things: Taxonomies and Open Challenges

2018

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In the last few years, many smart objects found in the physical world are interconnected and communicate through the existing internet infrastructure which creates a global network infrastructure called the Internet of Things (IoT). Research has shown a substantial development of solutions for a wide range of devices and IoT platforms over the past 6-7 years. However, each solution provides its own IoT infrastructure, devices, APIs, and data formats leading to interoperability issues. Such interoperability issues are the consequence of many critical issues such as vendor lock-in, impossibility to develop IoT application exposing cross-platform, and/or cross-domain, difficulty in plugging non-interoperable IoT devices into different IoT platforms, and ultimately prevents the emergence of IoT technology at a large-scale. To enable seamless resource sharing between different IoT vendors, efforts by several academia, industry, and standardization bodies have emerged to help IoT interoperability, i.e., the ability for multiple IoT platforms from different vendors to work together. This paper performs a comprehensive survey on the state-of-the-art solutions for facilitating interoperability between different IoT platforms. Also, the key challenges in this topic is presented.

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Section: Service Oriented Architecture (Soa)mentioning

confidence: 99%

Interoperability in Internet of Things: Taxonomies and Open Challenges

2018

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“…For service management in the SOA-based IoT systems, the Arrowhead framework is proposed to support efficient development and operation of interconnected, cooperative systems [35]. The core services of Arrowhead framework are divided by information assurance services, information infrastructure services, and system management services.…”

Section: Related Workmentioning

confidence: 99%

Resource Management Based on OCF for Device Self-Registration and Status Detection in IoT Networks

Jin

Kim

2019

Electronics

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Recently, there are heterogeneous devices that connect to the Internet to provide ubiquitous and intelligent services based on sensors and actuators in the network of the Internet of Things (IoT). The resources of IoT represent the physical entities on the Internet to expose functions through services. Resource management is necessary to enable a massive amount of IoT-connected devices to be discoverable and accessible in the network of IoT. In this paper, we propose an IoT resource management to provide schemes of device self-registration and status detection for devices based on the Open Connectivity Foundation (OCF) standard. This device self-registration scheme is based on an agent that is proposed for registering devices itself which deployed in the OCF network. The devices host the OCF resources to provide IoT services such as sensing and controlling through the sensors and actuators. For a group of devices, an agent-based self-registration is proposed to register the resources. Through the proposed self-registration, the information of IoT devices is published using profile and saved in the management platform that enables the clients to discover the resources and access the services. For accessing the IoT resources in the OCF network, an interworking proxy is proposed to support the communications between web clients and devices over Hypertext Transfer Protocol (HTTP) and Constrained Application Protocol (CoAP) based on OCF. Furthermore, through the interoperability of the resources using the registered information, a real-time monitoring scheme is proposed based on periodic request and response for the status detection of deployed devices.

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“…In the last years, comprehensive modeling frameworks such as Arrowhead [10] were specified and implemented that stressed the importance of rigid and comprehensive formal modeling of use cases, business activities, and system configurations, e.g., using UML, BPMN (Business Process Model and Notation) or SysML (Systems Modeling Language). The framework also considers emerging system-of-systems environments and finally IIoT environments [11]. In contrast to the service engineering methodology presented in this article, the Arrowhead frameworks focuses on the support of service discovery, authorization, and orchestration in operational SOA-based systems with the pre-requisite that the service requirements and capabilities are provided according to the modeling templates of the Arrowhead framework.…”

Section: Related Workmentioning

confidence: 99%

Agile Service Engineering in the Industrial Internet of Things

Usländer

Batz

2018

Future Internet

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The emerging Industrial Internet of Things (IIoT) will not only leverage new and potentially disruptive business models but will also change the way software applications will be analyzed and designed. Agility is a need in a systematic service engineering as well as a co-design of requirements and architectural artefacts. Functional and non-functional requirements of IT users (in smart manufacturing mostly from the disciplines of mechanical engineering and electrical engineering) need to be mapped to the capabilities and interaction patterns of emerging IIoT service platforms, not to forget the corresponding information models. The capabilities of such platforms are usually described, structured, and formalized by software architects and software engineers. However, their technical descriptions are far away from the thinking and the thematic terms of end-users. This complicates the transition from requirements analysis to system design, and hence the re-use of existing and the design of future platform capabilities. Current software engineering methodologies do not systematically cover these interlinked and two-sided aspects. The article describes in a comprehensive manner how to close this gap with the help of a service-oriented analysis and design methodology entitled SERVUS (also mentioned in ISO 19119 Annex D) and a corresponding Web-based Platform Engineering Information System (PEIS).

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Making system of systems interoperable – The core components of the arrowhead framework

Cited by 128 publications

References 13 publications

Interoperability in Internet of Things: Taxonomies and Open Challenges

Interoperability in Internet of Things: Taxonomies and Open Challenges

Resource Management Based on OCF for Device Self-Registration and Status Detection in IoT Networks

Agile Service Engineering in the Industrial Internet of Things

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