Analysis and Classification of Service Interactions for the Scalability of the Internet of Things

Arellanes, Damian; Lau, Kung-Kiu

doi:10.1109/iciot.2018.00018

Cited by 12 publications

(26 citation statements)

References 39 publications

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“…Examples of applications in this case are visual programming, such as the Microsoft Flow 2 , Max 3 or Node-RED 4 .…”

Section: Component Cooperationmentioning

confidence: 99%

“…This is sometimes referred to as implicit rather than explicit communication as communication is a side effect of the actual data sharing process [1]. Shared medium communication is also regarded as the control-flow hidden interaction model [4]. This is because the control flow is not visible, nor easily to be grasped as the components do not interact directly with one another.…”

Section: Shared Medium Communicationmentioning

confidence: 99%

“…Second, the shared medium could quickly become a bottleneck for the inter-component interaction at large scale deployment. Third, the application's control flow is not visible in shared medium model [4], at large scale deployment, this inherently affects the design capability and maintainability of the application model.…”

Section: Communication Modelmentioning

confidence: 99%

“…Thus, toward our large scale, connected vehicle applications, message passing is recommended as the ultimate communication model [4].…”

Section: Communication Modelmentioning

confidence: 99%

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Taxonomy of an Application Model

Giang

Leung

Lea

2019

Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

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With the advent of advanced computing systems beyond personal computing, such as mobile computing, cloud computing or recently, vehicular ad-hoc network, it is crucial that we understand the application development process of each type of these systems. Better understanding of how applications are built in different environment allows us to design better application models and system supports for developers. This paper studies the taxonomy of application models and defines its consisting aspects, namely application scope, application abstraction level, application structure, communication model and programming model. With the better understanding of the application models in general, we lay out the requirements for developing a class of large scale connected vehicle applications.

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“…Examples of applications in this case are visual programming, such as the Microsoft Flow 2 , Max 3 or Node-RED 4 .…”

Section: Component Cooperationmentioning

confidence: 99%

Section: Shared Medium Communicationmentioning

confidence: 99%

Section: Communication Modelmentioning

confidence: 99%

“…Thus, toward our large scale, connected vehicle applications, message passing is recommended as the ultimate communication model [4].…”

Section: Communication Modelmentioning

confidence: 99%

See 2 more Smart Citations

Taxonomy of an Application Model

Giang

Leung

Lea

2019

Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications

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show abstract

“…Moreover, constructing data dependency graphs is not trivial when control flow and data flow are tightly coupled. The separation of such concerns would allow a separate reasoning, monitoring, maintenance and evolution of both control and data [6]. Consequently, an efficient data exchange approach can be realized without considering control flow.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Data Flows in Algebraic Service Compositions for the Scalability of IoT Systems

Arellanes

Lau

2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

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With the advent of the Internet of Things, scalability becomes a significant concern due to the huge amount of data involved in IoT systems. A centralized data exchange is not desirable as it leads to a single performance bottleneck. Although a distributed exchange removes the central bottleneck, it has network performance issues as data passes among multiple coordinators. A decentralized data flow exchange is the only solution that fully enables the realization of efficient IoT systems as there is no single performance bottleneck and the network overhead is minimized. In this paper, we present an approach that leverages the algebraic semantics of DX-MAN for realizing decentralized data flows in IoT systems. As data flows are not mixed with control flows in algebraic service compositions, we developed an algorithm that smoothly analyzes data dependencies for the generation of a direct relationship between data consumers and data producers. The result prevents passing data alongside control among multiple coordinators because data is only read and written on a data space. We validate our approach using the Blockchain as the data space and conducted experiments to evaluate the scalability of our approach. Our results show that our approach scales well with the size of IoT systems.

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Algebraic Service Composition for User-Centric IoT Applications

Arellanes

Lau

2018

Lecture Notes in Computer Science

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The Internet of Things (IoT) requires a shift in our way of building applications, as it is aimed at providing many services to society in general. Non-developer people require increasingly complex IoT applications and support for their ever changing run-time requirements. Although service composition allows the combination of functionality into more complex behaviours, current approaches provide support for dealing with one IoT scenario at a time, as they allow the definition of only one workflow. In this paper, we present DX-MAN, an algebraic model for static service composition that allows the definition of composite services that encompass multiple workflows for run-time scenarios. We evaluate our proposal on an example in the domain of smart homes.

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Analysis and Classification of Service Interactions for the Scalability of the Internet of Things

Cited by 12 publications

References 39 publications

Taxonomy of an Application Model

Taxonomy of an Application Model

Decentralized Data Flows in Algebraic Service Compositions for the Scalability of IoT Systems

Algebraic Service Composition for User-Centric IoT Applications

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