Lysis: A Platform for IoT Distributed Applications Over Socially Connected Objects

Girau, Roberto; Salvatore, Martis; Atzori, Luigi

doi:10.1109/jiot.2016.2616022

Cited by 109 publications

(69 citation statements)

References 24 publications

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“…This gap analysis aims to highlight the issues and provide solutions to future IoT platforms [44,45]. Lysis is a cloud-based IoT platform to deploy IoT applications [46]. The main features of Lysis are that each object is an autonomous social agent, platform as a service (PaaS) is fully exploited, data is fully controlled by the users.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

2019

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An internet of things (IoT) platform is a multi-layer technology that enables automation of connected devices within IoT. IoT platforms serve as a middle-ware solution and act as supporting software that is able to connect different hardware devices, access points, and networks to other parts of the value chain. Virtual objects have become a vital component in every IoT platform. Virtual objects are the digital representation of a physical entity. In this paper, we design and implement a cloud-centric IoT platform that serves a purpose for registration and initialization of virtual objects so that technology tinkerers can consume them via the IoT marketplace and integrate them to build IoT applications. The proposed IoT platform differs from existing IoT platforms in the sense that they provide hardware and software services on the same platform that users can plug and play. The proposed IoT platform is separate from the IoT marketplace where users can consume virtual objects to build IoT applications. Experiments are conducted for IoT platform and interworking IoT marketplace based on virtual objects in CoT. The proposed IoT platform provides a user-friendly interface and is secure and reliable. An IoT testbed is developed and a case study is performed for a domestic environment to reuse virtual objects on the IoT marketplace. It also provides the discovery and sharing of virtual objects. IoT devices can be monitored and controlled via virtual objects. We have conducted a comparative analysis of the proposed IoT platform with FIWARE. Results conclude that the proposed system performs marginally better than FIWARE.

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Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

2019

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“…Lysis [19] is another good example of Social IoT platform based on cloud infrastructure. It uses the platform as a service (PaaS) model and focuses on the deployment of applications in the cloud space.…”

Section: Social Internet Of Things (Siot)mentioning

confidence: 99%

“…In the next step, executing the query statement routine returns the results denoted as . The process of finding the relationships is carried out through lines (6)- (19) in multiple nested iterations as shown in the pseudocode of Algorithm 1 listing.…”

Section: Social Relationship Discovery and Compositionmentioning

confidence: 99%

“…(1) Output: C (Composite Service) (2) AEM ← List all objects available (Microservices, CVOs, VOs) in model (3) ← executeQueryStatement (AEM, ) (4) Z ← executeQueryStatement (AEM, ) (5) for All ∈ do (6) for All ∈ do (7) if == any in Z then (8) add to Ç Lm (9) store Ç Lm (10) end if (11) end for (12) for All i ∈ Ç Lm do (13) if i == any i in Ç Lm then (14) ← ranking (Assign rank to each service) (15) add i to Ç LR (16) store Ç LR (17) end if (18) end for (19) for All ∈ Ç LR do (20) if (R ) > then (21) add to Wf (22) Pq ← assign to queue (23) Sort Pq (24) Formulate Wf (25) end if (26) as AEM is loaded, the first step is to compose objects based on their relationship types. 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.…”

Section: Require: (Aec) (R ) (Z)mentioning

confidence: 99%

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A Model of Socially Connected Web Objects for IoT Applications

Ali

Kibria

Jarwar

et al. 2018

Wireless Communications and Mobile Computing

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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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“…A specific implementation of an IoT solution that follows this model is [5]. With regard to quality assurance, the iCore architecture considers an SLA assurance function at the CVO level.…”

Section: Introductionmentioning

confidence: 99%

Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach

Floris

Atzori

2016

Sensors

Self Cite

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This paper addresses the issue of evaluating the Quality of Experience (QoE) for Internet of Things (IoT) applications, with particular attention to the case where multimedia content is involved. A layered IoT architecture is firstly analyzed to understand which QoE influence factors have to be considered in relevant application scenarios. We then introduce the concept of Multimedia IoT (MIoT) and define a layered QoE model aimed at evaluating and combining the contributions of each influence factor to estimate the overall QoE in MIoT applications. Finally, we present a use case related to the remote monitoring of vehicles during driving practices, which is used to validate the proposed layered model, and we discuss a second use case for smart surveillance, to emphasize the generality of the proposed framework. The effectiveness in evaluating classes of influence factors separately is demonstrated.

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Lysis: A Platform for IoT Distributed Applications Over Socially Connected Objects

Cited by 109 publications

References 24 publications

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

A Model of Socially Connected Web Objects for IoT Applications

Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach

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