Automation of System Monitoring Based on Fuzzy Logic or Rules; Comparison of Two Designed Approaches with Regard to Computational Infrastructures (original) (raw)
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Agent-based monitoring using fuzzy logic and rules
In this paper we present two solutions of monitoring automation for distributed systems. We develop this system to automate monitoring of distributes systems. Both solutions are aimed to monitor data storage and web services like web page servers. The first solution implemented in a system called Saude-Net, is an rule-based top level monitoring tool. In this system there are implemented rules which provide conditions which refer to one or more measured values. This system is able to choose the best action for an observed situation, e.g. a failure. It is possible to define more than one rule which relate to the same monitoring resource. The second concept presented in this paper refers to a fuzzy logic agent based approach to network monitoring. It is called SAMM compliant Agent. It is an extension to the Semantic-based Autonomous Monitoring and Management system (SAMM). On the one hand, it uses rules to define simple actions, based on a simple condition and an action description. On the other hand the main knowledge of this solution is defined by fuzzy logic. This system is able to manage and modify its knowledge to better fit to monitored resources. The knowledge in this concept is distributed among all the agents. The agents residing on a different hosts handle their parts of the knowledge and are capable to share/exchange them. AGENTOWE PODEJŚCIE DO MONITORINGU WYKORZYSTUJĄCE LOGIKĘ ROZMYTĄ ORAZ REGUŁY W pracy przedstawiono system agentowy, który pozwala na monitoring rozproszonych systemów. Każdy agent posiada własną wiedzę na temat możliwych reakcji na zaobserwowane sytuacje, np. awarie. W artykule przedstawiamy koncepcję automatyzacji monitoringu nazwaną SAMM compliant Agent. Jest ona rozszerzeniem systemu SAMM. Do opisu wiedzy użyte zostały zbiory rozmyte, a także reguły, przy czym reguły używane są do określenia prostych czynności, które może wykonać dany agent. W zaimplementowanej wersji reguły służą jako statyczna wiedza, natomiast logika rozmyta została wykorzystana jako główna idea reprezentacji wiedzy w przedstawionych agentach, z których każdy zarządza swoim segmentem wiedzy i może swoją wiedzę przekazywać innym agentom.
Monitoring and Diagnostics with Intelligent Agents Using Fuzzy Logic
Engineering Letters, 2007
Intelligent Agents have originated a lot of discussion about what they are, and how they are different from general programs. We describe in this paper a new paradigm for intelligent agents. This paradigm helped us deal with failures in an independent and efficient way. We proposed three types of agents to treat the system in a hierarchical way. A new way to visualize fault tolerant systems (FTS) is proposed, with the incorporation of intelligent agents, as they grow and specialize create the Multi-Agent System (MAS). The MAS contains a diversified range of agents, which depending on the perspective will be specialized or evolutionary (from our initially proposal) they will be specialized for the detection and possible solution of errors that appear in an FTS). The initial structure of the agent is proposed in [1] and named reflected agent with an internal state and in the Method MeCSMA [2]. The present work is based on the idea that with the help of the paradigm of intelligent agents, we may be able to handle fault tolerant systems, in the modality of embedded systems. The idea is to detect errors and to try to correct the failures that could happen in industrial control by monitoring and diagnosis.
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2011
Abstract. The centralised management of distributed computing infrastructures presents a number of considerable challenges, not least of which is the effective monitoring of physical resources and middleware components to provide an accurate operational picture for use by administrative or management staff. The detection and presentation of real-time information pertaining to the performance and availability of computing resources is a difficult yet critical activity. This architecture is intended to enhance the service monitoring experience of a Grid operations team. We have designed and implemented an extensible agent-based architecture capable of detecting and aggregating status information using low-level sensors, functionality tests and existing information systems. To date it has been successfully deployed across eighteen Grid-Ireland sites.
Agent Technology in Monitoring Systems
International Journal of Computers Communications & Control, 2010
The aim of this paper is to make a brief presentation of the results obtained by the authors regarding agent technology application in distributed monitoring systems development. Consequently, we would like to present MAgeLan and ContTest as monitoring systems based on intelligent agents technology. Formal aspects regarding intelligent agents will be mentioned. Quantitative issues concerning efficiency, maintenance and reengineering are also to be taken into account.
Intelligent agent-based monitoring platform for applications in engineering
2005
In real world monitoring engineering applications, knowledge engineers must face the complexity and diversity of tasks associated with specific problem domain. This often implies tackling simultaneously different types of knowledge (inaccurate, incorrect or redundant) from different data sources that require to be processed using different reasoning mechanisms. The real world problems may neither fit the assumptions of a single technique nor be effectively solved by the strengths and capabilities of a single technique. Within this paper an intelligent agent-based platform is being considered for implementation, where the approach of integrating the use of two or more techniques is taken, in order to combine their different strengths and overcome each other's weaknesses and generate hybrid solutions. The integration of various intelligent techniques is a very important way forward in the next generation of monitoring systems. Flexible software systems require a distributed architecture where each element works autonomously and co-operatively. This advanced architecture can be created by making use of Intelligent Agent technology, which will facilitate the creation of autonomous software components to utilize a wide variety of artificial intelligence techniques for different situations. This is in marked contrast to conventional centralized stand-alone applications.
On the use of multi-agent systems for the monitoring of industrial systems
Journal of Industrial Engineering International, 2015
The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences such as: multivariate control charts, neural networks, Bayesian networks and expert systems has became a necessity. The proposed system is evaluated in the monitoring of the complex process Tennessee Eastman process. Keywords Multivariate process Á Hotelling T 2 control chart Á Multi-agent system Á Bayesian network Á Neural network Electronic supplementary material The online version of this article (
Command and control for grid infrastructures
2008
The centralised management of distributed computing infrastructures presents a number of considerable challenges, not least of which is the effective monitoring of physical resources and middleware components to provide an accurate operational picture for use by administrative or management staff. The detection and presentation of real-time information pertaining to the performance and availability of computing resources is a difficult yet critical activity. This thesis presents an architecture intended to enhance the service monitoring experience of a Grid operations team. We have designed and implemented an extensible agent-based architecture capable of detecting and aggregating status information using low-level sensors, functionality tests and existing information systems. To date it has been successfully deployed across eighteen Grid-Ireland sites. Managing the availability of the monitored services is an associated and essential task in ensuring the availability of a grid infr...
Intelligent agents for proactive fault detection
1998
Abstract As the Internet becomes a critical component of our society, a key challenge is to maintain network availability and reliability. Intelligent processing agents that reside at network nodes use an adaptive learning method to detect abnormal network behavior before a fault actually occurs. In a test at Rensselaer Polytechnic Institute, an agent on a router detected a file server failure 12 minutes before it occurred
Expert Systems With Applications, 2022
The constant increase in the amount and complexity of information obtained from IT data network elements, for its correct monitoring and management, is a reality. The same happens to data networks in electrical systems that provide effective supervision and control of substations and hydroelectric plants. Contributing to this fact is the growing number of installations and new environments monitored by such data networks and the constant evolution of the technologies involved. This situation potentially leads to incomplete and/or contradictory data, issues that must be addressed in order to maintain a good level of monitoring and, consequently, management of these systems. In this paper, a prototype of an expert system is developed to monitor the status of equipment of data networks in electrical systems, which deals with inconsistencies without trivialising the inferences. This is accomplished in the context of the remote control of hydroelectric plants and substations by a Regional Operation Centre (ROC). The expert system is developed with algorithms defined upon a combination of Fuzzy logic and Paraconsistent Annotated Logic with Annotation of Two Values (PAL2v) in order to analyse uncertain signals and generate the operating conditions (faulty, normal, unstable or inconsistent / indeterminate) of the equipment that are identified as important for the remote control of hydroelectric plants and substations. A prototype of this expert system was installed on a virtualised server with CLP500 software (from the EFACEC manufacturer) that was applied to investigate scenarios consisting of a Regional (Brazilian) Operation Centre, with a Generic Substation and a Generic Hydroelectric Plant, representing a remote control environment.
A multi-agent system for industrial fault detection and repair
Advances in Intelligent and Soft Computing, 2012
A Multi Agent System is described, capable of monitoring a telecommunication industrial test & measurement setup, designed as an application of the DALI agent language. The autonomy of the MAS is necessary to supervise the measurement apparatus during off-work time without human intervention, increasing the quality and efficacy of the overall test procedure. The MAS can decide whether to recover or repair the set of software process needed to achieve a correct test sequence without user intervention.