Hierarchical dynamic goal management for IoT systems

Jantsch, Axel; Anzanpour, Arman; Kholerdi, Hedyeh A.; Azimi, Iman; Siafara, Lydia C.; Rahmani, Amir M.; TaheriNejad, Nima; Liljeberg, Pasi; Dutt, Nikil

doi:10.1109/isqed.2018.8357315

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…Most of these works fall within three main categories, viz. goal-oriented [18], hierarchical [19], and neural and fuzzy [20].…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Second, hierarchical solutions for goal mediation have been proposed by [19] and [26]. Dynamic hierarchical goal management for different IoT systems is discussed in [19], considering conflicting local and global goals, and the availability of limited resources that can vary at runtime. Regarding security in smart environments and in particular Smart Offices, [26] propose a hierarchical, agent-based solution that considers the high number of potential users, their security roles and the heterogeneity of devices and spaces.…”

Section: Related Workmentioning

confidence: 99%

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A Declarative Goal-oriented Framework for Smart Environments with LPaaS

Bisicchia,

Forti,

Brogi

2021

Preprint

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Smart environments powered by the Internet of Things aim at improving our daily lives by automatically tuning ambient parameters (e.g. temperature, interior light) and by achieving energy savings through self-managing cyber-physical systems. Commercial solutions, however, only permit setting simple target goals on those parameters and do not consider mediating conflicting goals among different users and/or system administrators, and feature limited compatibility across different IoT verticals. In this article, we propose a declarative framework to represent smart environments, user-set goals and customisable mediation policies to reconcile contrasting goals encompassing multiple IoT systems. An open-source Prolog prototype of the framework is showcased over two lifelike motivating examples.

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“…Most of these works fall within three main categories, viz. goal-oriented [18], hierarchical [19], and neural and fuzzy [20].…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Declarative Goal-oriented Framework for Smart Environments with LPaaS

Bisicchia,

Forti,

Brogi

2021

Preprint

View full text Add to dashboard Cite

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“…Further, these techniques have targeted beyond the conventional fixed single and multi-objective allocation policies, towards dynamically varying goals (Shamsa et al, 2018(Shamsa et al, , 2019. On this note, a general, hierarchical goal management scheme has recently been sketched by Rahmani et al (2017b) for multi-core platforms and by Jantsch et al (2018) for distributed IoT systems. However, many elements of such a strategy are still missing such as…”

Section: Limitations Of Current Approaches and Recent Trendsmentioning

confidence: 99%

On-Chip Dynamic Resource Management

Miele

Kanduri²,

Moazzemi³

et al. 2019

FNT in Electronic Design Automation

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The need for dynamic resource management has shadowed the exponential growth of on-chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources, and the bewildering variety of constraints and requirements of applications, platforms and users. The field has started with a few research papers in the early 1990s but has grown today to over hundred yearly publications, leading to an accumulated body of literature presumable far above 1000 papers. We focus on the dynamic (run-time) management of onchip resources and mostly ignore design-time techniques and off-chip resources of larger electronic systems. Moreover, we do not attempt a complete review of all published work on the topic. Rather, this survey provides a structured review and discussion of the state of the art and is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service, each

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“…Some system properties that are needed for meeting application requirements are adaptivity, autonomy, reliability, robustness, long lifetime, high performance, and energy efficiency. A controlled balance among those sometimes contradictory properties is a must as well [11].…”

Section: Introductionmentioning

confidence: 99%

RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems

et al. 2020

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The role of smart and autonomous systems is becoming vital in many areas of industry and society. Expectations from such systems continuously rise and become more ambitious: long lifetime, high reliability, high performance, energy efficiency, and adaptability, particularly in the presence of changing environments. Computational self-awareness promises a comprehensive assessment of the system state for sensible and well-informed actions and resource management. Computational self-awareness concepts can be used in many applications such as automated manufacturing plants, telecommunication systems, autonomous driving, traffic control, smart grids, and wearable health monitoring systems. Developing self-aware systems from scratch for each application is the most common practice currently, but this is highly redundant, inefficient, and uneconomic. Hence, we propose a framework that supports modeling and evaluation of various self-aware concepts in hierarchical agent systems, where agents are made up of self-aware functionalities. This paper presents the Research on Self-Awareness (RoSA) framework and its design principles. In addition, self-aware functionalities abstraction, data reliability, and confidence, which are currently provided by RoSA, are described. Potential use cases of RoSA are discussed. Capabilities of the proposed framework are showcased by case studies from the fields of healthcare and industrial monitoring. We believe that RoSA is capable of serving as a common framework for self-aware modeling and applications and thus helps researchers and engineers in exploring the vast design space of hierarchical agent-based systems with computational self-awareness.

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Hierarchical dynamic goal management for IoT systems

Cited by 7 publications

References 16 publications

A Declarative Goal-oriented Framework for Smart Environments with LPaaS

A Declarative Goal-oriented Framework for Smart Environments with LPaaS

On-Chip Dynamic Resource Management

RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems

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