<p>Stalno praćenje rada softvera je neophodno da bi se utvrdilo da li softver po&scaron;tuje zadate nivoe kvaliteta. Na osnovu sakupljenih podataka, moguće je da se predvidi i dalje pona&scaron;anje aplikacije i da se izvr&scaron;i izbor daljih&nbsp;akcija da bi se održao zahtevani nivo. Tema ove disertacije je razvoj sistema za kontinualno praćenje performansi softvera, kao i razvoj modela za predviđanje performansi softvera. Za implementaciju sistema potrebljena je JEE tehnologija, ali je sistem razvijen tako da može da se primeni i za praćenje softvera razvijenog za druge platforme. Sistem je modelovan tako minimalno utiče na performanse sistema softvera koji se prati. Linearna regresija je upotrebljena za modelovanje zavisnosti performansi od okruženja u kom se softver izvr&scaron;ava. Sistem je upotrebljen za praćenje izabrane JEE aplikacije.</p> / <p>Continuous monitoring of software is necessary to determine whether the software performs within required service perfomance levels. Based on collected&nbsp;data, it is possible to predict the future performance of applications and to plan further actions in order to maintain the required service levels. The theme of this dissertation is the development of systems for continuous performance monitoring software, as well as the development of models for predicting the performance of software. To implement the system was used JEE technologies, but the system was developed so that it can be used for tracking software developed for other platforms. The system is modeled as a minimum impact on system performance software that is monitored. Linear regression was used for modeling the dependence of the performance environment in which the software is running. The system was used to monitor selected JEE applications.</p>

The scale of computing systems has extensively grown over the past few decades in order to satisfy emerging business requirements. As a result of this evolution, the complexity of these systems has increased significantly, which has led to many difficulties in managing and administering them. The solution to this problem is to build systems that are capable of managing themselves, given high-level objectives. This vision is also known as Autonomic Computing. A self-managing system is governed by a closed control loop, which is responsible for dynamically monitoring the underlying system, analyzing the observed situation, planning the recovering actions, and executing the plan to maintain the system equilibrium. The realization of such systems poses several developmental and operational challenges, including: developing their architecture, constructing the control loop, and creating services that enable dynamic adaptation behavior. Software frameworks are effective in addressing these challenges: they can simplify the development of such systems by reducing design and implementation efforts, and they provide runtime services for supporting self-managing behavior. This dissertation presents a novel software framework, called StarMX, for developing adaptive and self-managing Java-based systems. It is a generic configurable framework based on standards and well-established principles, and provides the required features and facilities for the development of such systems. It extensively supports Java Management Extensions (JMX) and is capable of integrating with different policy engines. This allows the developer to incorporate and use these techniques in the design of a control loop in a flexible manner. The control loop is created as a chain of entities, called processes, such that each process represents one or more functions of the loop (monitoring, analyzing, planning, and executing). A process is implemented by either a policy language or the Java language. At runtime, the framework invokes the chain of processes in the control loop, providing each one with the required set of objects for monitoring and effecting. An open source Java-based Voice over IP system, called CC2, is selected as the case study used in a set of experiments that aim to capture a solid understanding of the framework suitability for developing adaptive systems and to improve its feature set. The experiments are also used to evaluate the performance overhead incurred by the framework at runtime. The performance analysis results show the execution time spent in different components, including the framework itself, the policy engine, and the sensors/effectors. The results also reveal that the time spent in the framework is negligible, and it has no considerable impact on the system's overall performance.

The scale of computing systems has extensively grown over the past few decades in order to satisfy emerging business requirements. As a result of this evolution, the complexity of these systems has increased significantly, which has led to many difficulties in managing and administering them. The solution to this problem is to build systems that are capable of managing themselves, given high-level objectives. This vision is also known as Autonomic Computing. A self-managing system is governed by a closed control loop, which is responsible for dynamically monitoring the underlying system, analyzing the observed situation, planning the recovering actions, and executing the plan to maintain the system equilibrium. The realization of such systems poses several developmental and operational challenges, including: developing their architecture, constructing the control loop, and creating services that enable dynamic adaptation behavior. Software frameworks are effective in addressing these challenges: they can simplify the development of such systems by reducing design and implementation efforts, and they provide runtime services for supporting self-managing behavior. This dissertation presents a novel software framework, called StarMX, for developing adaptive and self-managing Java-based systems. It is a generic configurable framework based on standards and well-established principles, and provides the required features and facilities for the development of such systems. It extensively supports Java Management Extensions (JMX) and is capable of integrating with different policy engines. This allows the developer to incorporate and use these techniques in the design of a control loop in a flexible manner. The control loop is created as a chain of entities, called processes, such that each process represents one or more functions of the loop (monitoring, analyzing, planning, and executing). A process is implemented by either a policy language or the Java language. At runtime, the framework invokes the chain of processes in the control loop, providing each one with the required set of objects for monitoring and effecting. An open source Java-based Voice over IP system, called CC2, is selected as the case study used in a set of experiments that aim to capture a solid understanding of the framework suitability for developing adaptive systems and to improve its feature set. The experiments are also used to evaluate the performance overhead incurred by the framework at runtime. The performance analysis results show the execution time spent in different components, including the framework itself, the policy engine, and the sensors/effectors. The results also reveal that the time spent in the framework is negligible, and it has no considerable impact on the system's overall performance.

<p>The size and complexity of local area and wide area networks are continually growing and so do the requirements of high availability. Today we rely on the technology and it should always work. Network management is therefore getting more and more important. Network management includes: monitoring and isolating faults, measuring performance, configuring the resources, making sure the network is secured and more. </p><p>Since in the early 1990s the management has typically been done with SNMPv1 or CMIP and using the client/server model. SNMPv1 is insecure, CMIP is complex and the traditional centralized paradigm is no longer sufficient to handle the management requirements of large networks. </p><p>As the demands for security and flexibility increases, new ways to manage networks are needed. This research tries to find out how a network management system should function, what management protocol to use, how to enhance the flexibility and how to make the system more secure.</p>

The size and complexity of local area and wide area networks are continually growing and so do the requirements of high availability. Today we rely on the technology and it should always work. Network management is therefore getting more and more important. Network management includes: monitoring and isolating faults, measuring performance, configuring the resources, making sure the network is secured and more. Since in the early 1990s the management has typically been done with SNMPv1 or CMIP and using the client/server model. SNMPv1 is insecure, CMIP is complex and the traditional centralized paradigm is no longer sufficient to handle the management requirements of large networks. As the demands for security and flexibility increases, new ways to manage networks are needed. This research tries to find out how a network management system should function, what management protocol to use, how to enhance the flexibility and how to make the system more secure.

La performance et l'efficacité de la gestion sont devenues une préoccupation au sein de la communauté de gestion de réseaux et de services depuis maintenant. Cette préoccupation est due ssentiellement aux dimensions grandissantes de réseaux et de services, à l'intégration de plan de gestion dans le plan fonctionnel de ses réseaux et ses services et la précision qu'elle doit offrir la gestion afin d'accomplir ses tâches convenablement avec des délais raisonnables. Les études existantes qui ont tentées de quantifier la performance de la gestion présentent plusieurs limites au niveau des métriques et des méthodes employées. En effet, les principales lacunes de ces études sont l'absence de métriques standards et les caractères non comparables, non reproductibles et non représentatives de leurs méthodologies de mesure.<br /><br />Etant donné ce cadre, nous avons travaillé sur la définition d'un ensemble de métriques primaires et secondaires pour mesurer la performance d'une approche de gestion. Les métriques primaires sont regroupées en trois familles : rapidité, coût et qualité. Les métriques secondaires proposées reposent sur ces dernières et permettent de quantifier l'efficacité, le passage à l'échelle et l'incidence de la gestion. Nous avons élaboré une méthodologie pour mesurer ces métriques primaires. Afin de valider cette proposition, nous avons conçu et implanté un banc de mesure dédié à l'évaluation de performances de l'approche de gestion JMX.<br /><br /><br />La seconde partie de notre travail a porté sur l'élaboration de fines campagnes de mesures de performances de JMX. Les résultats de ces mesures, nous ont permis de caractériser le passage à l'échelle, l'incidence de la gestion sur la performance d'un système géré et les délais de l'approche JMX sous différents scénarios. Nous avons trouvé que les délais que subissent les opérations JMX suivent approximativement une distribution statistique de Weibull. Grâce à ce rapprochement, nous avons pu identifier l'effet des délais sur le comportement d'un algorithme de supervision, notamment la distorsion temporelle de la vue observée par le gestionnaire par rapport à la vue réelle du système géré.

The main subject of this master thesis is the Service-Oriented Architecture (SOA). It shows a complete overview of Web Services in terms of realisation of a SOA. The thesis mentions what is already done and what else remains to ful ll the basic SOA principles. Then, it reviews Java EE platform tools used to deal with the Web Services. Next, it introduces the Java Management Extensions (JMX) technology as a solution of the web service's area - SOA governance. Moreover, it examinates the possible usage of JMX for the web service's management and monitoring issues. Finally, it implements an exemplary web services management and monitoring application on GlassFish server for testing purposes.