Self-healing highly available monitoring system for distributed environment

Promotor: Jacek Kitowski, Włodzimierz Funika.Recenzent: Marian Wysocki, Stanisław Kozielski.Niepublikowana praca doktorska.Tyt. z ekranu tyt.Praca doktorska. AGH University of Science and Technology. Faculty of Computer Science, Electronics and Telecommunications. Department of Computer Science, 2014.Zawiera bibliogr.Dostępna również w wersji drukowanej.Tryb dostępu: Internet.High availability, self-healing, agent based systems, reliability, technology background, discovery and communication, Service Location Protocol SLP, Simple Service Discovery protocol SSDP, JINI, JXTA, JGroups, election algorithms, Bully Algorithm, Ring Algorithm , Santoro Rotem Algorithm, other algorithms, overview of existing monitoring systems, Ganglia, AutoPilot, Gemini, Aksum, JavaPSL, OCM-G / G-PM, J-OCM, JXM, SemMon, Dynamic Monitoring Framework, self-healing and self-adaptive Software, PANACEA, MUSIC, GRAVA, use cases and requirements, introduction, use cases, user use cases, advanced user administrator use cases, application programmer use cases, system requirements definition, functional requirements, non-functional requirements, functional requirements specification, non-functional requirements specification, architecture and design, introduction, distributed system, multi-agent based system MAS, self-healing, distributed monitoring system architecture, AgeMon architecture, agent, agent name and collision detection, monitoring result, monitoring source and measurable capability, messaging, agent communication Layer, discovery finding agents, discovery based on the multicast, discovery based on the Gossip Server , tunneling, discovery, mixed solution, roles, GUI Role, monitoring manager, visualization and visualization manager, rules manager component, monitoring role, handling feedbacks enabling the healing of the monitored system, persistence role, rule role, command line interface role, system implementation, introduction, agent, agent group, role implementation, monitoring role, GUI role, AgentGraph, monitoring component, rule component, persistence component, visualisation component, rule role , persistence role, CLI role, system-wide architectural concepts, service interface and start up/shutting down procedure, foundation services, dependency injection, communication in the AgeMon System, transport layer , abstract agent layer, abstract monitoring layer, message types, high availability and self-healing, high availability and self-healing in monitoring system, automatic discovery, reliable transport protocols, network failures tolerance, absence of single point of failure, roles redundancy, substitute agents – failover, cooperative mode – rules, advanced rules, self-healing, high availability/self-healing strategies, healing of the monitored system, transparent healing, application aware healing , testing, system deployment, performance tests, scenario 1, scenario 2, scenario 3, performance of the low-level communication layer, latency in the system, decision time, persistence time, network latencies, latency summary, self-healing tests / high availability tests, substitute persistence agent, restart monitoring agent, Healing SUM, soak test, reliability, code quality, code statistics , violations, duplications, cyclomatic complexity, LCOM4, code quality, novel concepts introduced, future development, enlarge agent autonomy, reasoning from the historical results, advanced data analysis, learning, advanced metrics transformations, rules and action enhacements, complex event processing, advanced fault detection in monitoring system, GUI Enhancements – support for different types of charts, non-relational database