56,675 research outputs found
MonALISA : A Distributed Monitoring Service Architecture
The MonALISA (Monitoring Agents in A Large Integrated Services Architecture)
system provides a distributed monitoring service. MonALISA is based on a
scalable Dynamic Distributed Services Architecture which is designed to meet
the needs of physics collaborations for monitoring global Grid systems, and is
implemented using JINI/JAVA and WSDL/SOAP technologies. The scalability of the
system derives from the use of multithreaded Station Servers to host a variety
of loosely coupled self-describing dynamic services, the ability of each
service to register itself and then to be discovered and used by any other
services, or clients that require such information, and the ability of all
services and clients subscribing to a set of events (state changes) in the
system to be notified automatically. The framework integrates several existing
monitoring tools and procedures to collect parameters describing computational
nodes, applications and network performance. It has built-in SNMP support and
network-performance monitoring algorithms that enable it to monitor end-to-end
network performance as well as the performance and state of site facilities in
a Grid. MonALISA is currently running around the clock on the US CMS test Grid
as well as an increasing number of other sites. It is also being used to
monitor the performance and optimize the interconnections among the reflectors
in the VRVS system.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, USA, March 2003, 8 pages, pdf. PSN MOET00
An Integrated Model for Monitoring Nodes in Computer Networks
Monitoring complex computer network environment is now a very challenging task for network administrators despite the various existing monitoring applications for networks that are faced with the issues of centralized monitoring, which causes network traffic, reduces network bandwidth, and are unable to concurrently run two or more network services. This research paper was designed to tackle the problems exhibited by the existing network monitoring application by integrating different network monitoring services in a single model using the power of agent’s distributed processing and monitoring services. Data about the existing and proposed model was gathered using key informant interview approach, and observation of the existing software. Iterative software model was adopted as the software development life cycle based on its strengths and suitability. The proposed model was developed using use-case and sequence diagrams. Suitable programming languages and development environment such as Java, JavaScript, Hypertext Preprocessor, Hypertext markup language and MySQL were used in coding the software prototype. The functionality of the proposed system was tested and results showed that the proposed system has 100% anomaly network intrusion detection rate and better functional features as compared to the existing network monitoring applications observed
Towards Grid Monitoring and deployment in Jade, using ProActive
This document describes our current effort to gridify Jade, a java-based
environment for the autonomic management of clustered J2EE application servers,
developed in the INRIA SARDES research team. Towards this objective, we use the
java ProActive grid technology. We first present some of the challenges to turn
such an autonomic management system initially dedicated to distributed
applications running on clusters of machines, into one that can provide
self-management capabilities to large-scale systems, i.e. deployed on grid
infrastructures. This leads us to a brief state of the art on grid monitoring
systems. Then, we recall the architecture of Jade, and consequently propose to
reorganize it in a potentially more scalable way. Practical experiments pertain
to the use of the grid deployment feature offered by ProActive to easily
conduct the deployment of the Jade system or its revised version on any sort of
grid
Mobile Computing in Physics Analysis - An Indicator for eScience
This paper presents the design and implementation of a Grid-enabled physics
analysis environment for handheld and other resource-limited computing devices
as one example of the use of mobile devices in eScience. Handheld devices offer
great potential because they provide ubiquitous access to data and
round-the-clock connectivity over wireless links. Our solution aims to provide
users of handheld devices the capability to launch heavy computational tasks on
computational and data Grids, monitor the jobs status during execution, and
retrieve results after job completion. Users carry their jobs on their handheld
devices in the form of executables (and associated libraries). Users can
transparently view the status of their jobs and get back their outputs without
having to know where they are being executed. In this way, our system is able
to act as a high-throughput computing environment where devices ranging from
powerful desktop machines to small handhelds can employ the power of the Grid.
The results shown in this paper are readily applicable to the wider eScience
community.Comment: 8 pages, 7 figures. Presented at the 3rd Int Conf on Mobile Computing
& Ubiquitous Networking (ICMU06. London October 200
A study of publish/subscribe systems for real-time grid monitoring
Monitoring and controlling a large number of geographically distributed scientific instruments is a challenging task. Some operations on these instruments require real-time (or quasi real-time) response which make it even more difficult. In this paper, we describe the requirements of distributed monitoring for a possible future electrical power grid based on real-time extensions to grid computing. We examine several standards and publish/subscribe middleware candidates, some of which were specially designed and developed for grid monitoring. We analyze their architecture and functionality, and discuss the advantages and disadvantages. We report on a series of tests to measure their real-time performance and scalability
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