Architecting Emergent Configurations in the Internet of Things

Alkhabbas, Fahed; Spalazzese, Romina; Davidsson, Paul

doi:10.1109/icsa.2017.37

Cited by 37 publications

(31 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It integrates machine learning and rule specification to support adaptations in healthcare applications. In [10], an architecture is proposed to adapt to the run-time context changes. The architecture addresses adaptations to the unexpected disappearance of IoT resources.…”

Section: Adaptive Cot Systemsmentioning

confidence: 99%

Adaptive Trading of Cloud of Things Resources

Alrawahi

Lee

Lotfi

2019

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)

View full text Add to dashboard Cite

Cloud of Things (CoT) consists of heterogeneous Cloud and Internet of Things (IoT) resources. CoT increasingly requires adaptive run-time management due to the CoT dynamism, environmental uncertainties and unpredictable changes in IoT resources. Adapting to these changes benefits particularly trading of CoT resources where the adaptability of traded resources and applications remains a challenge. Runtime changes in CoT trading environments can impact vital aspects including resource allocation, resource utilisation and application performance. This paper adopts monitoring, analysis, planning and execution (MAPE) model from autonomic computing to support adaptations when trading CoT resources. This is achieved by applying the MAPE model to systematically capture and identify changes in CoT environment. Based on the identified adaptations, an adaptive model is proposed to react to these changes. Trading Cloud of Things ResourcesCoT is a large-scale computing infrastructure by nature. It can potentially consist of few dozens to billions of connected resources. This scalable infrastructure currently requires dedicated hardware deployment, application development, infrastructure management and maintenance.

show abstract

Section: Adaptive Cot Systemsmentioning

confidence: 99%

Adaptive Trading of Cloud of Things Resources

Alrawahi

Lee

Lotfi

2019

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)

View full text Add to dashboard Cite

show abstract

“…In addition, exploiting the notion of events, our approach possesses more effective reasoning capabilities about performed adaptations. In [2], we presented an abstract architecture for ECs describing how they are automatically formed and adapted. In this section, we first overview the proposed architecture, then refine it by presenting the ECo-IoT.…”

Section: Related Workmentioning

confidence: 99%

“…ECo-IoT consists of: (1) a process which enables the automated formation and adaptation of ECs in response to dynamic context changes; (2) an architecture which enables the realization of ECs and refines the abstract architecture presented in [2]. We also present a first prototype implementing both the architecture and the process and validate the feasibility of ECo-IoT through the smart meeting room scenario.…”

Section: Introductionmentioning

confidence: 98%

“…The term EC refers to a set of things that connect and cooperate temporarily to achieve a user goal. A thing is any (smart) connected object or device, with its functionalities and services or applications [2,5].…”

Section: Introductionmentioning

confidence: 99%

“…A concrete use case that we use throughout the paper is the smart meeting room scenario presented in [2]. Imagine a person who enters an unknown smart meeting room and intends to deliver a presentation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ECo-IoT: An Architectural Approach for Realizing Emergent Configurations in the Internet of Things

Alkhabbas

Spalazzese

Davidsson

2018

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

The rapid proliferation of the Internet of Things (IoT) is changing the way we live our everyday life and the society in general. New devices get connected to the Internet every day and, similarly, new IoT services and applications exploiting them are developed across a wide range of domains. The IoT environment typically is very dynamic, devices might suddenly become unavailable and new ones might appear. Similarly, users enter and/or leave the IoT environment while being interested in fulfilling their individual needs. These key aspects must be considered while designing and realizing IoT systems. In this paper we propose ECo-IoT, an architectural approach to enable the automated formation and adaptation of Emergent Configurations (ECs) in the IoT. An EC is formed by a set of things, with their services, functionalities, and applications, to realize a user goal. ECs are adapted in response to (un)foreseen context changes e.g., changes in available things or due to changing or evolving user goals. In the paper, we describe: (i) an architecture and a process for realizing ECs; and (ii) a prototype we implemented for (iii) the validation of ECo-IoT through an IoT scenario that we use throughout the paper.

show abstract

Automated industrial IoT‐device integration using the OpenPnP reference architecture

et al. 2019

View full text Add to dashboard Cite

Distributed control systems are currently evolving towards industrial Internet of Things (IoT) systems communicating fully using Internet protocols. This creates opportunities for streamlining costly commissioning processes, which today require substantial manual work for installing, configuring, and integrating thousands of actuators and sensors. The vision of "plug-and-produce" control systems has been pursued for more than 15 years, but existing approaches fell short regarding configuration tasks and vendor neutrality. This paper introduces the standards-based IoT reference architecture OpenPnP, which allows largely automating the configuration and integration tasks of industrial commissioning processes. The architecture includes a number of design and technology decisions and the required implementation can be scaled down to resource-constrained industrial devices. This paper demonstrates how OpenPnP can reduce configuration and integration efforts up to 90% in typical settings, while potentially scaling well up to tens of thousands of communicated signals. Practitioners can orient their implementations towards OpenPnP, therefore potentially enabling "plug-and-produce" in many thousands of control systems. KEYWORDS client-server systems, control engineering, Internet of Things, real-time systems, software architecture 246 of these tasks include a number of manually executed steps done by engineers, for example, the device identification, device wiring, entering configuration parameters, and interaction fine-tuning between devices, the control system, and workstations. Many of these tasks are even more complicated due to the lack of standardized parameter models, legacy communication interfaces, and proprietary software tools requiring profound knowledge and expertise. Hence, the entire process of commissioning a plant or a process including thousands or ten thousands of devices may last several calendar months, costing millions of dollars. [3][4][5] Taking this into account, there is a high interest from customer side to simplify the commissioning process. 6 Therefore, researchers and practitioners have been working on "plug and produce" (PnP) approaches in the last two decades. 7,8 They simplify the process for commissioning a device in process automation similar to the installation and usage of devices for consumer computers, so called "plug and play." Transferring this concept to the process automation world is complicated because such an PnP approach needs to be implemented on different levels in operation, starting from device level up to plant or even enterprise level. Existing proposals for PnP approaches 9-13 often focus on low-level network discovery of industrial field devices but neglect higher-level configuration and integration tasks, which cause most manual efforts. Especially, for PnP on the device level, network discovery of industrial field devices is only one task of many. The industrial field devices also need standardized and self-describing information models so that no additional informa...

show abstract

Architecting Emergent Configurations in the Internet of Things

Cited by 37 publications

References 11 publications

Adaptive Trading of Cloud of Things Resources

Adaptive Trading of Cloud of Things Resources

ECo-IoT: An Architectural Approach for Realizing Emergent Configurations in the Internet of Things

Automated industrial IoT‐device integration using the OpenPnP reference architecture

Contact Info

Product

Resources

About