Understanding Service-Oriented Architecture (SOA): A systematic literature review and directions for further investigation

Niknejad, Naghmeh; Ismail, Waidah; Ghani, Imran; Nazari, Behzad; Bahari, Mahadi; Hussin, Ab Razak Che

doi:10.1016/j.is.2020.101491

Cited by 135 publications

(57 citation statements)

References 28 publications

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“…With the development of Web services technology and SOA (Service Oriented Architecture), simulation resources are increasingly deployed and published as Web services in geographic modeling and simulation systems to support sharing and reuse (Wen et al, 2017;Chen et al, 2020;Niknejad et al, 2020), such as eHabitat, a web processing service for ecosystem simulation (Dubois et al, 2013), and AWARE, a water resource monitoring and prediction framework (Granell et al, 2010;Gan et al, 2020). In addition, based on the SOA, for the development of open science (Woelfle et al, 2011;Nosek et al, 2015), different geographers and experts have conducted preliminary explorations on open geographic modeling and simulation research modes, such as SWATShare (Rajib et al, 2016), HydroShare (Bandaragoda et al, 2019;Gan et al, 2020), and OpenGMS (Open Geographic Modeling and Simulation Systems) (Wen et al, 2013;Yue et al, 2015Yue et al, , 2018Yue S S et al, 2016;Wang et al, 2018Wang et al, , 2020Zhang et al, 2019Zhang et al, , 2020Chen et al, 2020).…”

Section: Operational Architecture Analysis Of Geographic Modeling and Simulation Systemsmentioning

confidence: 99%

Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction

Chen

Zhou

et al. 2021

Sci. China Earth Sci.

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Regionality, comprehensiveness, and complexity are regarded as the basic characteristics of geography. The exploration of their core connotations is an essential way to achieve breakthroughs in geography in the new era. This paper focuses on the important method in geographic research: Geographic modeling and simulation. First, we clarify the research requirements of the said three characteristics of geography and its potential to address geo-problems in the new era. Then, the supporting capabilities of the existing geographic modeling and simulation systems for geographic research are summarized from three perspectives: Model resources, modeling processes, and operational architecture. Finally, we discern avenues for future research of geographic modeling and simulation systems for the study of regional, comprehensive and complex characteristics of geography. Based on these analyses, we propose implementation architecture of geographic modeling and simulation systems and discuss the module composition and functional realization, which could provide theoretical and technical support for geographic modeling and simulation systems to better serve the development of geography in the new era.

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Section: Operational Architecture Analysis Of Geographic Modeling and Simulation Systemsmentioning

confidence: 99%

Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction

Chen

Zhou

et al. 2021

Sci. China Earth Sci.

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“…A logical device can be assigned with any compatible physical devices if they satisfy the constraint between devices described using an ontology model. The study by Niknejad et al [11] stated the characteristics of SOA in order to enhance service delivery performance of existing conventional systems while preserving essential features. Many design approaches and patterns adopt SOA because it can be defined as an architectural concept that allows loose coupling, reusability, interoperability, agility, and efficiency.…”

Section: Preliminary 21 Service-oriented-architecturementioning

confidence: 99%

Physical Device Compatibility Support for Implementation of IoT Services with Design Once, Provide Anywhere Concept

et al. 2021

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This paper proposes a method to ensure compatibility between physical devices for implementing a service design. The method supports the relaxation of strict implementation. It allows a set of compatible devices to be implemented instead of specifying specific devices in the service design. This paper’s main contribution is the formalization of device constraints using the device’s attributes and a method to check the compatibility between devices. The method’s characteristic is that a service designer can decide the level of strictness and abstractness of the design by adjusting the compatibility rate. We show the feasibility of the proposed method to achieve the goal of “Design Once, Provide Anywhere” with an application example. We also evaluated the quality of service of the implemented IoT service in a different environment using a platform called Elgar.

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“…In the current technological landscape, the trend is towards a concentration of functionalities that, depending on the risk, are only accessible to proprietary technological frameworks (SAP, IBM, ORACLE, Microsoft, Amazon, Google, among others). These approaches, which include the concept of micro-services [17], do not convey relevant innovation in the context of a Service-Oriented Architecture (SOA) [18], so they are unlikely to promote integrated approaches that support processes in the digital age. There are currently several approaches to perform interoperability tasks between CPS, but these are proprietary systems.…”

Section: State Of the Artmentioning

confidence: 99%

Industrial Collaborative Robotics Platform

Vicente

Lomelino

Carreira

et al. 2021

IFIP Advances in Information and Communication Technology

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Cyber-physical systems are not designed to integrate an industrial collaborative network when their integration with other systems is required. It is necessary to adopt a strategic model of integration and value creation that allows the interoperability of equipment supported by open technologies, based on the concepts underlying Industry 4.0. To this end, a conceptual information architecture is proposed to manage industrial robotic platforms based on a Cyber Device Bus design. The challenge is to contribute to an open technological framework involving computer systems, cyber-physical systems, and IoT elements in a logic of integration by adaptation without the need for specialized adapters. Adaptation occurs through the adoption of the Informatics System of Systems (ISoS) technological framework, providing an integrated serviceoriented (micro-services) view of technology elements and establishing cooperation between computer and cyber-physical systems under different responsibilities and based on a diversity of technological frameworks.

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Understanding Service-Oriented Architecture (SOA): A systematic literature review and directions for further investigation

Cited by 135 publications

References 28 publications

Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction

Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction

Physical Device Compatibility Support for Implementation of IoT Services with Design Once, Provide Anywhere Concept

Industrial Collaborative Robotics Platform

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