Java Management Extensions Research Articles

ДИСТРИБУИРАНИ СОФТВЕРСКИ СИСТЕМ ЗА НАДГЛЕДАЊЕ ПЕРФОРМАНСИ ЈАВА АПЛИКАЦИЈА

Овај рад обухвата спецификацију и развој вишеклијентског дистрибуираног система за надгледање перформанси јава апликација. Преузимање метрика перформанси је имплементирано уз ослонац на јавино проширење за управљање (JMX). У систем су интегрисана два софтверска решења отвореног кода, Prometheus, за складиштење метрика, и Grafana, за њихову визуализацију. Додатно, систем обезбеђује алармирање корисника у случају прекорачења граничних вредности метрика. Спецификација је представљена UML дијаграмима.

Managing Network Elements in the Computer Network

This paper describes the process of development network management application in the IT infrastructure using the Java Management Extension (JMX). Control system, based on SNMP protocol, consists of management applications, management agents and managed devices. Agents are software modules that are managed on the devices. They collect information about the managed objects, send the information for management application and manage with the managed devices, in accordance with the feedback that they receive from management applications.

서비스 지향적인 효율적인 클러스터 서버 구축 및 관리

현대의 서버 시스템은 대부분의 경우 클러스터 시스템으로 이루어지어 가능한 많은 사용자를 지원할 뿐만 아니라 가능한 많은 어플리케이션을 지원하는 것을 목적으로 하는 서비스 지향 클러스터 시스템이다. 클러스터 시스템 아키텍쳐의 발전으로 자바 프레임웍에 기반한 미들웨어 어프로치가 발전하고 있다. 미들웨어에 의한 방법은 서버 시스템의 성능과 어플리케이션의 활용도를 보장하면서도 서버 시스템 구축을 위한 대부분의 노력을 덜어준다. 본 연구에서는 JMX를 이용하여 클러스터 시스템의 손쉬운 구현과 관리를 달성할 수 있는 새로운 클러스터 시스템을 소개한다. 일단 클러스터 시스템의 구축과 구성단계를 보이며, 어플리케이션과 시스템 양자에 걸쳐서 손쉬운 구축과 확장, 그리고 관리가 미들웨어에 기반한 시스템에서 이루어짐을 보인다. 덧붙여 서비스 지향 클러스터 시스템이 미들웨어에 기반하여 우수한 성능을 보임을 성능 평가 실험 결과를 통하여 검증하였다. 기본적인 성능 평가 결과는 서버의 가용성, 그리고 로드 밸런싱과 스케쥴링 알고리즘의 효율성을 검증하였다. 특히, 우리의 서비스기반 스케줄링 방법이 정상부하시 적재불균형문제와 과부하시의 대처능력에서 타 방법에 비해 우수함을 보였다. Modern server systems are usually composed in the form of cluster systems in order to serve not only as many users but also as many kinds of applications as possible. The progression of the cluster system architecture leads in a middleware approach based on the Java framework. The middleware approach alleviates the efforts for the construction and the management of a server system but still preserves its performance and applications on the server. In this research, we introduce a new clustering scheme for the easy construction and maintenance of a cluster server system with the Java Management Extensions. We first demonstrate the construction and configuration process. Our experiment sets can verify that it is easy to construct, expand and manage a middleware based cluster system as well as the applications which reside on it. In addition, we can achieve reasonable performance on our service oriented clustered system with the help of state-of-the-art middleware. The experimental results of performance demonstration contain the availability of a server, and the effectiveness of load balancing and scheduling mechanisms. Especially, our service oriented scheduling mechanism was shown to successfully manage load imbalance under the normal load and cope with the overloaded situations, compared with other known scheduling mechanisms.

Experiences from Implementation and Evaluation of Event Processing and Distribution of Notifications in an Object Monitoring Service

Organization of events processing and distribution of notifications is a key issue for performance of software monitoring and management systems, particularly for reducing the execution-time overheads they incur. This paper provides practical guidelines for design and implementation of event report generation and dissemination frameworks, based on experiences from implementation, configuration and evaluation of Melita On-line Object Monitoring Service (MOOMS): an on-line monitoring service for distributed object-oriented applications. As MOOMS is in many aspects similar to the Java Management Extensions (JMX) framework, the presented evaluation may shed some light on how this class of object services may be developed and used with efficiency in mind.

Java Management Extensions for application management

Modern enterprise systems are composed of both centralized and distributed applications. Many of these applications are business-critical, creating the need for their control and management by existing management systems. A single suite of uniform instrumentation for manageability is needed to make this cost-effective. The JavaTM Management Extensions Agent and Instrumentation Specification, v 1.0, describes an isolation layer between an information technology resource and an arbitrary (enterprise-specific) set of management interfaces and systems. It includes a simple, yet sophisticated and extensible management agent that can accommodate communication with private or acquired enterprise management systems. The application programming interface is simple enough that manageability can be achieved in three to five lines of code. Yet, it is flexible enough that complex, distributed applications can be managed, allowing management of Java technologies as well as management through Java technologies. This paper includes an overview of application management issues and technologies. The JMX technology and application program interfaces are discussed in depth using examples pertinent to today's application developer.

The Java Management Extensions (JMX): Is Your Cluster Ready for Evolution?

The arrival of commodity hardware configurations with performance rivaling that offered by RISC workstations is resulting in important advances in the state of the art of building and running very large scalable clusters at “mass market” pricing levels. However, cluster middleware layers are still considered as static infrastructures which are not ready for evolution. In this paper, we claim that middleware layers based on both agent and Java technologies offer new opportunities to support clusters where services can be dynamically added, removed, and reconfigured. To support this claim, we present the Java management extensions, a new Java agent-based technology, and its application to implement two disjoint cluster management middleware services (a remote reboot service and a distributed infrastructure for collecting Log events) which share a unique agent-based infrastructure.