Development tools for open agent networks

Городецкий, В. И.; Karsaev, Oleg; Samoilov, V. V.; Serebryakov, Sergey

doi:10.1134/s1064230708030131

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…The first document describing the architecture of the abstract P2P AP and its interfaces with applications and with the communication infrastructure was released at the beginning of 2006. The first software implementation of this abstract architecture appeared in 2007 (see [46,49]). Its further develop ment aimed at the use in the ubiquitous computing and ubiquitous communication environment is described below in this section.…”

Section: Self Organization In Overlay Network Supported By a Distribmentioning

confidence: 98%

“…The nodes know only the keys of the data stored in the neighbor nodes, which is sufficient to find them at users' requests. Each table is an analog of an instance of distributed yel low pages in agent based P2P systems (see [46]); it supports distributed search for files by their keys. How ever, such a search can be implemented only using a special mechanism (protocol).…”

Section: Freenet: a Self Organizing P2p Network For Accessing A Distrmentioning

confidence: 99%

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Self-organization and multiagent systems: I. Models of multiagent self-organization

Городецкий

2012

J. Comput. Syst. Sci. Int.

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Nowadays, there are many problems whose complexity is much higher than the capabilities of modern information technologies. Such problems arise in economics, ecology, managing state level infrastructures and global computer and telecommunication systems, ensuring the safety of society, and in many other fields. Even though these problems seem to be quite different, they have many com mon features, which imply common difficulties in their solution. These features are as follows: they are large scale problems, they are open, have unpredictable dynamics and complex structure, include mobile components, and some others. The management in such systems is a challenging task, which requires a revision of modern views, models, architectures, and development technologies. A response to this challenge is the increasing activity in the field of principles and mechanisms of self organization and in the software tools for their development. Although the paradigm of self organizing control sys tems is not new, it is now at a new step of development, which involves, in particular, its integration with the multiagent system paradigm. The purposes of this paper are to analyze the state of the art in the field of multiagent self organizing systems, to provide a critical review of the available applica tions, analyze development techniques, and generalize the results obtained in this field. The paper consists of two parts. In the first part, we discuss the modern interpretation of the principles of self organization is analyzed, and the reasons for which the integration of these principles with the achievements in the field of multiagent systems provides a new impetus to the development of infor mation technologies in the context of most complex modern applications. A systematization and description of the self organization models and mechanisms implemented in the framework of the multiagent architecture is given, and biological self organization mechanisms are discussed. Applica tions of self organizing multiagent systems in telecommunication, grid 1 resource management, and routing in computer networks with dynamic topology, as well as applications in distributed learning and in detecting intrusions into computer networks are described.

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Section: Self Organization In Overlay Network Supported By a Distribmentioning

confidence: 98%

Section: Freenet: a Self Organizing P2p Network For Accessing A Distrmentioning

confidence: 99%

Self-organization and multiagent systems: I. Models of multiagent self-organization

Городецкий

2012

J. Comput. Syst. Sci. Int.

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“…In addition to reducing the communication load in the network, such a protocol also reduces the power con sumption of the sensors that do not have the requested information, which is extremely important by itself for sensor networks. Furthermore, for the semantic query routing, the distributed agent based P2P plat form (see Subsection 5.4 in the first part of this paper and [15]) can be used to request the required infor mation from sensors in terms of white page and yellow page service names.…”

Section: Self Organizing Sensor Networkmentioning

confidence: 99%

Self-organization and multiagent systems: II. Applications and the development technology

Городецкий

2012

J. Comput. Syst. Sci. Int.

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Major trends in the development of modern information technologies are to a large extend determined by important practical problems that arise in economics, ecology, safety of society and individuals, and in other fields. Even though these problems seem to be quite different and the require ments for their software implementation are also different, they have many common features, which imply the most stringent requirements for modern information technologies. These features were ana lyzed in the first part of the present paper. That analysis showed that the new requirements for the model and software implementation of such problems are best met by the multiagent self organizing system model. In this paper, we consider examples of using this model in various applications and describe their architectures and software implementation; in particular, multiagent self organization models as applied for flood forecasting and planning and operational enterprise management are described. New capabilities of multiagent self organizing systems are demonstrated using a self learn ing system for detecting intrusions into computer networks as an example. Here, the problem of self configuration of an overlay network is actually solved. The capabilities of a multiagent self organizing system in large scale control in real time are demonstrated using adaptive traffic control in large cities. For the software implementation of multiagent self organizing systems, special development tools that are different from the existing ones are needed because the conventional top down development par adigm is inappropriate for self organizing architectures. The cause is that the global behavior of a mul tiagent self organizing system emerges due to local interactions; therefore, it cannot be predicted in advance. For that reason, the bottom up development model is more appropriate for such systems. In this paper, we give a brief review of the models and approaches proposed for this purpose. One of the promising approaches based on the use of the so called self organization design patterns is described in more detail. Results of using the multiagent self organization model are discussed and prospects of its practical application are estimated.

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“…According to the definition given in [3], in the most general sense, this network of computational agents is a peer-topeer overlay network due to its properties. Combining computational agents into a network, the nodes of which interact in the P2P computing style [4], provides the ability to create open multi-agent systems (MAS). The set of functioning agents is dynamical in such MAS [4].…”

Section: Introductionmentioning

confidence: 99%

“…Combining computational agents into a network, the nodes of which interact in the P2P computing style [4], provides the ability to create open multi-agent systems (MAS). The set of functioning agents is dynamical in such MAS [4]. Thus integration a reliable and scalable P2P system with multi-agent technology provides advantages of both paradigms.…”

Section: Introductionmentioning

confidence: 99%

Automation of distributed data management in applied microservices package for scientific computations

Oparin¹,

Bogdanova²,

Pashinin³

2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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We offer a specialized toolkit for automating both knowledge management when creating an applied microservices package and data accumulating during its application for scientific computations in a hybrid computing environment. The decentralized solving of the declaratively formulated problem is carried out by an active agent group. This group is self-organized by logical inference on the distributed knowledge base of a subject domain. The developed toolkit automates the creating and updating of the local knowledge base of the manager-agent of applied microservices package, as well as the local knowledge bases of distributed computational agents. Local knowledge bases are formed using a description of the interface of computational microservices managed by these agents. Microservice ensembles, corresponding to the active group, are stored in the knowledge base of the manager-agent. The developed toolkit uses this information for testing microservice in the case of its update. In hybrid computing, this toolkit provides synchronizing, archiving, and saving of calculated data. Hybrid infrastructure combines the reliability and availability of using on-premises computers with scaling to the cloud when peak loads occur. The conducted experiments confirmed the effectiveness of the presented approach for solving practically significant scientific problems.

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Development tools for open agent networks

Cited by 7 publications

References 5 publications

Self-organization and multiagent systems: I. Models of multiagent self-organization

Self-organization and multiagent systems: I. Models of multiagent self-organization

Self-organization and multiagent systems: II. Applications and the development technology

Automation of distributed data management in applied microservices package for scientific computations

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