“…So far, research has focused more on performance and maintainability issues than on reliability . As for the latter, the general trend is to exploit microservices' features like loose coupling to increase failure detection, fault tolerance or availability in MSAs (e.g., ). To the best of our knowledge, the assessment of operational reliability of MSAs is not addressed yet.…”
“…So far, research has focused more on performance and maintainability issues than on reliability . As for the latter, the general trend is to exploit microservices' features like loose coupling to increase failure detection, fault tolerance or availability in MSAs (e.g., ). To the best of our knowledge, the assessment of operational reliability of MSAs is not addressed yet.…”
“…This platform uses some of the principles that define a serverless architecture. Moreover, the authors in this paper are focused on the time constraints and the effect of the delays between microservices on the platform behaviour [4] describes in detail the process and the advantages of using this kind of architectures for an Internet of Things application. Finally, [5] characterizes the implementation of microservices for critical applications in which the sensitive data is handled, integrity and confidentiality are key points.…”
“…) for All in do (iterate Microservice instance being used) (7) for All ∈ do (check CVO and VOs used by the Services) (8) if O == output of C in a relationship set R then (9) add C to Ç (10) else (11) if O == output of V in relationship set R V then (12) add V to Ç (13) N ← tag (Assign relationship tag to each object entry) (14) else (15) add O to Ç (16) end if (17) end if (18) …”
Section: Social Relationship Discovery and Compositionmentioning
confidence: 99%
“…This way, the SPARQL queries are executed; the first query is denoted as to retrieve the available service templates and the second query is represented as to extract the relationships associated with the services. From line (5) to (11), first, the social relationship is searched among objects and then the found relative objects are composed in groups. The design philosophy employed over here is to assign a ranking to each selected group based on the relationship type that helps in a more efficient composition of service objects (from line (12) to (18)).…”
Section: Require: (Aec) (R ) (Z)mentioning
confidence: 99%
“…To support the above-mentioned use cases, most of the current IoT architectural approaches are not suitable as they are based on the traditional monolithic approaches, which further hinder the development of efficient, modular, and independent services that cannot scale well with the increasing user's service demands, as already witnessed in many studies [9][10][11][12]. Using monolithic approaches, we cannot fully achieve the benefits offered by SIoT including efficient information discovery, improved scalability, and simplified interconnection of objects.…”
The Internet of Things (IoT) is evolving with the connected objects at an unprecedented rate, bringing about enormous opportunities for the future IoT applications as well as challenges. One of the major challenges is to handle the complexity generated by the interconnection of billions of objects. However, Social Internet of Things (SIoT), emerging from the conglomeration of IoT and social networks, has realized an efficient way to facilitate the development of complex future IoT applications. Nevertheless, to fully utilize the benefits of SIoT, a platform that can provide efficient services using social relations among heterogeneous objects is highly required. The web objects enabled IoT environment promotes SIoT features by enabling virtualization using virtual objects and supporting the modularity with microservices. To realize SIoT services, this article proposes an architecture that provides a foundation for the development of lightweight microservices based on socially connected web objects. To efficiently discover web objects and reduce the complexity of service provisioning processes, a social relationship model is presented. To realize the interoperable service operations, a semantic ontology model has been developed. Finally, to evaluate the proposed design, a prototype has been implemented based on a use case scenario.
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