A Trust- and Cooperation-Based Solution of a Dynamic Resource Allocation Problem

Anders, Gerrit; Steghöfer, Jan-Philipp; Siefert, Florian; Reif, Wolfgang

doi:10.1109/saso.2013.33

Cited by 12 publications

(17 citation statements)

References 15 publications

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“…This corresponds to the idea of mechanism design [54]. A more detailed explanation of the trust-based techniques, accompanied by an evaluation, can be found in [55]. Our evaluations confirm that these characteristics allow TruCAOS to create highquality schedules in much shorter time than a central or even the regio-central approach at marginally higher costs.…”

Section: Auction-and Trust-based Resource Allocationsupporting

confidence: 55%

Specification and Design of Trust-Based Open Self-Organising Systems

Anders

Siefert

Schiendorfer

et al. 2016

Trustworthy Open Self-Organising Systems

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In open multi-agent systems, we can make only little assumptions about the system's scale, the behaviour of participating agents, and its environment. Especially with regard to mission-critical systems, the ability to deal with a large number of heterogeneous agents that are exposed to an uncertain environment becomes a major concern: Because failures can have massive consequences for people, industries, and public services, it is of utmost importance that such systems achieve their goals under all circumstances. A prominent example are power management systems whose paramount goal is to balance production and consumption. In this context, we tackle challenges comprising how to specify and design these systems to allow for their efficient and robust operation. Among other things, we introduce constraint-based specification techniques to address the system's heterogeneity and show trust models that allow to measure, anticipate, and deal with uncertainties. On this basis, we present algorithms for self-organisation and self-optimisation that enable the formation of scalable system structures at runtime and allow for efficient and robust resource allocation under adverse conditions. Throughout the chapter, the problem of balancing production and consumption in decentralised autonomous power management systems serves as a case study.

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Section: Auction-and Trust-based Resource Allocationsupporting

confidence: 55%

Specification and Design of Trust-Based Open Self-Organising Systems

Anders

Siefert

Schiendorfer

et al. 2016

Trustworthy Open Self-Organising Systems

Self Cite

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“…A resource allocation problem is studied by Anders et al (2013). In this work a power plant management balance between energy production and consumption was proposed.…”

Section: Content Descriptionmentioning

confidence: 99%

Knowledge engineering and management contributions for scientific research in the thermal smart energy context

Preissler¹,

Gonçalves²

2017

Int J Recent Sci Res

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ARTICLE INFO ABSTRACTScientists and researchers have been increasingly studying and seeking alternatives to solve problems related to the power consumption, aiming at environmental conservation and financial savings. In this paper, Smart Energy (SE) is the term used to refer to energy studies in the areas of Smart Grids, Smart Cities, Smart Homes or Buildings. This paper has as a guiding question: how have the scientific studies in Knowledge Engineering and Management (KEM) area contributed to the SE area? The goal of this research is to present a systematic literature review of the scientific research on KEM area in SE context, particularly in thermal heating in Smart Building context, throughout the last 10 years. This systematic literature review, organized in a bibliometric study format uses syntax and content analysis and was conducted in eight stages of research in which were used three known and relevant scientific databases. The present study analyzed 61.662 papers in eight stages. The result was 18 papers strongly related to the scope of this research. The analyses point to a set of researches that mainly use the Elicitation, the Acquisition and the Knowledge Discovery as the most used KEM processes. From the point of view of the use of Information Technology (IT) approaches, it can be highlighted: Machine Learning, Artificial Intelligence algorithms and especially the proposition of their own algorithms. INTRODUCTIONDue to the high levels of CO 2 emissions and to the growth in power consumption it is becoming increasingly important to carry out scientific studies in order to reduce environmental impacts and to contribute to financial savings of final users. In this sense, some approaches and terminologies have been established in the areas of intelligent power consumption such as Smart Grids (SG), Smart Cities (SC), Smart Homes (SH) and Smart Buildings (SB).The term SG is related to the use of Information Technology applied to the management and operation of electrical networks. The term SC has many applications. One of them, in particular, it is the study of consumption and production of sustainable electricity. Finally, SH and SB have the same bias, although being distinct terms, both refer to the study of smart environments such as buildings or houses. The term "smart" is commonly used to equally describe the use of technological innovation and ITs for automation purposes and resource savings, Lund et al. (2012). Such areas of study have many points of convergence. In this study the term Smart Energy (SE), Preissler Junior (2015) is used to refer to research and development initiatives in the cited areas of study. Here, however, the terms are applied to research focusing on energy context. Furthermore, the Knowledge Engineering and Management is an interdisciplinary field which over the past 25 years has been using IT as a tool to "operationalize" the Knowledge Management (KM), Nonaka (2008), Rus and Lindvall (2002). Assuming that the term "smart" is related to the use of IT and considering that IT ...

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“…For example, [9] propose an adaptive multi-agent approach to provide self-regulated manufacturing control. A dynamic resource allocation problem is also treated thanks to a trust and cooperation-based algorithm by [1]. Today, such systems are applied in a multitude of domains, we can for example name [4] who develop an adaptive multi-agent system for the dynamic control of heat engine or [10] who present an application to smart grids and management of electric vehicles.…”

Section: B State Of the Artmentioning

confidence: 99%

Multi-satellite Mission Planning Using a Self-Adaptive Multi-agent System

Bonnet¹,

Gleizes

Kaddoum

et al. 2015

2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 18173 Abstract-Mission planning for a constellation of Earth observation satellites is a complex problem raising significant technological challenges for tomorrow's space systems. The large numbers of customers requests and their dynamic introduction in the planning system result in a huge combinatorial search space with a potentially highly dynamical evolution requirements. The techniques used nowadays have several limitations, in particular, it is impossible to dynamically adapt the plan during its construction even for small modifications. Satellites of a constellation are planned in a chronological way instead of a more collective planning which can provide additional load balancing.In this paper, we propose to solve this difficult and highly dynamic problem using adaptive multi-agent systems, taking advantage from their self-adaptation and self-organization mechanisms. In the proposed system, the agents, through their local interactions, allow to dynamically reach a good solution, while ensuring a controlled distribution of tasks within the constellation of satellites. Finally, a comparison with a classical chronological greedy algorithm, commonly used in the spatial domain, highlights the advantages of the presented system.

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A Trust- and Cooperation-Based Solution of a Dynamic Resource Allocation Problem

Cited by 12 publications

References 15 publications

Specification and Design of Trust-Based Open Self-Organising Systems

Specification and Design of Trust-Based Open Self-Organising Systems

Knowledge engineering and management contributions for scientific research in the thermal smart energy context

Multi-satellite Mission Planning Using a Self-Adaptive Multi-agent System

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