Self-Organizing Software Models for the Internet of Things: Complex Software Structures That Emerge Without a Central Controller

Arellanes, Damian

doi:10.1109/msmc.2021.3062822

Cited by 5 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ESSs present them-selves as particularly well-suited for addressing challenges in IoT systems. Cardozo [4], Gonçalves et al [27] and Arellanes et al [48] propose approaches for developing ESSs tailored for IoT systems. For instance, Cardozo [4] demonstrates the application of ESSs in managing urban transport, showcasing their potential in real-world IoT scenarios.…”

Section: A: Internet Of Thingsmentioning

confidence: 99%

The State of the Art of Emergent Software Systems

Shatnawi,

Faye,

Rima

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Emergent Software Systems (ESSs) are designed to reduce the initial effort in creating autonomous solutions and fully adaptive support systems that can autonomously learn the system's structure and operating environment without predefined knowledge. These models notably minimize/exclude the involvement of developers in the composition, maintenance, and evolution of software systems. Despite extensive research on self-adaptive systems, systematic reviews focusing specifically on ESSs are lacking. This paper addresses this gap by performing a systematic literature review on ESSs. Our goal is to equip researchers and industry practitioners with a comprehensive view of existing ESSs, enabling them to select approaches that meet their requirements and identify potential research avenues. The research questions are centered around knowing what ESSs are and identifying the set of activities essential for their creation. From an initial collection of 496 papers identified through search engines, 39 papers met our inclusion and exclusion criteria for retention and in-depth analysis. Finally, we build a taxonomy to categorize existing ESS approaches and dissect various ESS definitions to pinpoint their main characteristics. The taxonomy is structured around the goals, processes and usability of ESSs.

show abstract

Section: A: Internet Of Thingsmentioning

confidence: 99%

The State of the Art of Emergent Software Systems

Shatnawi,

Faye,

Rima

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…7(b)). It has an input parameter and an output parameter, and describes a series of steps for the invocation of operations in atomic services, sub- 4 Section 2 provides a running example to describe the problem of coordinated data exchanges when using exogenous composition.…”

Section: Separation Of Control Flows and Data Flowsmentioning

confidence: 99%

“…Control flow refers to the order in which services are executed, whilst data flow defines how services move data over the network. As of early 2021, there are over 20 billion connected things and it is predicted that this number will exponentially grow in the next few years [2,3,4]. Hence, as IoT systems may potentially consist of an overwhelmingly large number of services, functional scalability becomes a challenging concern.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Data Flows for the Functional Scalability of Service-Oriented IoT Systems

Arellanes

Lau

Sakellariou

2022

The Computer Journal

Self Cite

View full text Add to dashboard Cite

Horizontal and vertical scalability have been widely studied in the context of computational resources. However, with the exponential growth in the number of connected objects, functional scalability (in terms of the size of software systems) is rapidly becoming a central challenge for building efficient service-oriented Internet of Things (IoT) systems that generate huge volumes of data continuously. As systems scale up, a centralized approach for moving data between services becomes infeasible because it leads to a single performance bottleneck. A distributed approach avoids such a bottleneck, but it incurs additional network traffic as data streams pass through multiple mediators. Decentralized data exchange is the only solution for realizing totally efficient IoT systems, since it avoids a single performance bottleneck and dramatically minimizes network traffic. In this paper, we present a functionally scalable approach that separates data and control for the realization of decentralized data flows in service-oriented IoT systems. Our approach is evaluated empirically, and the results show that it scales well with the size of IoT systems by substantially reducing both the number of data flows and network traffic in comparison with distributed data flows.

show abstract

“…Our proposal differs from related work for it provides an integrated approach that considers: (i) a meta-model where logical entities are decoupled from physical entities (see Section 4 for details)-like in [32,33]; (ii) a distinction between identity and execution relationships, allowing to distinguish between digital twins and virtual devices; and (iii) a collective computing approach whereby the focus is on collective-level behaviour, rather than individual behaviour (so, e.g., we do not assume behavioural differences between digital twins and virtual devices).…”

mentioning

confidence: 99%

“…This is in contrast with approaches that distinguish between managed system and managing system-the latter being typically organised around the MAPE-K pattern [3]. In particular, there are similarities with the idea of self-organising software models [32], where the goal is to reduce the need for manual composition. In our case, we assume a composition of collective behaviours is specified by a developer (e.g., using aggregate programming), and let the platform deal automatically with deployment and possibly with the de/augmentation (management of virtual devices) for example, given high-level goal specifications.…”

mentioning

confidence: 99%

Digital Twins, Virtual Devices, and Augmentations for Self-Organising Cyber-Physical Collectives

et al. 2021

View full text Add to dashboard Cite

The engineering of large-scale cyber-physical systems (CPS) increasingly relies on principles from self-organisation and collective computing, enabling these systems to cooperate and adapt in dynamic environments. CPS engineering also often leverages digital twins that provide synchronised logical counterparts of physical entities. In contrast, sensor networks rely on the different but related concept of virtual device that provides an abstraction of a group of sensors. In this work, we study how such concepts can contribute to the engineering of self-organising CPSs. To that end, we analyse the concepts and devise modelling constructs, distinguishing between identity correspondence and execution relationships. Based on this analysis, we then contribute to the novel concept of “collective digital twin” (CDT) that captures the logical counterpart of a collection of physical devices. A CDT can also be “augmented” with purely virtual devices, which may be exploited to steer the self-organisation process of the CDT and its physical counterpart. We underpin the novel concept with experiments in the context of the pulverisation framework of aggregate computing, showing how augmented CDTs provide a holistic, modular, and cyber-physically integrated system view that can foster the engineering of self-organising CPSs.

show abstract

Self-Organizing Software Models for the Internet of Things: Complex Software Structures That Emerge Without a Central Controller

Cited by 5 publications

References 26 publications

The State of the Art of Emergent Software Systems

The State of the Art of Emergent Software Systems

Decentralized Data Flows for the Functional Scalability of Service-Oriented IoT Systems

Digital Twins, Virtual Devices, and Augmentations for Self-Organising Cyber-Physical Collectives

Contact Info

Product

Resources

About