AOCMS: An Adaptive and Scalable Monitoring System for Large-Scale Clusters

2006 ◽  
Author(s):  
Zhenghua Xue ◽  
Xiaoshe Dong ◽  
Weiguo Wu
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Scalable Monitoring

scholarly journals Service-driven inter-domain QoS monitoring system for large-scale IP and DVB networks

2006 ◽  
Vol 29 (10) ◽  
pp. 1687-1695 ◽  
Author(s):  
A. Mehaoua ◽  
T. Ahmed ◽  
H. Asgari ◽  
M. Sidibe ◽  
A. Nafaa ◽  
...  
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Qos Monitoring

Mobile Agent-Based Computing Resource and Usage Monitoring at Large Scale Computer Centers

2011 ◽  
Author(s):  
Zhixin Tie ◽  
David Ko ◽  
Harry H. Cheng
Keyword(s):  
Monitoring System ◽  
Mobile Agent ◽  
Computer Games ◽  
Data Exchange ◽  
Large Scale ◽  
Agent Based ◽  
Computer Center ◽  
Control Command ◽  
Computer Centers ◽  
Computer Resources

Mobile agent technology has become an important approach for the design and development of distributed systems. However, there is little research regarding the monitoring of computer resources and usage at large scale distributed computer centers. This paper presents a mobile agent-based system called the Mobile Agent Based Computer Monitoring System (MABCMS) that supports the dynamic sending and executing of control command, dynamic data exchange, and dynamic deployment of mobile code in C/C++. Based on the Mobile-C library, agents can call low level functions in binary dynamic or static libraries, and thus can monitor computer resources and usage conveniently and efficiently. Two experimental applications have been designed using the MABCMS. The experiments were conducted in a university computer center with hundreds of computer workstations and 15 server machines. The first experiment uses the MABCMS to detect improper usage of the computer workstations, such as playing computer games. The second experimental application uses the MABCMS to detect system resources such as available hard disk space. The experiments show that the mobile agent based monitoring system is an effective method for detecting and interacting with students playing computer games and a practical way to monitor computer resources in large scale distributed computer centers.

Discovery of an NRF1-specific inducer from a large-scale chemical library using a direct NRF1-protein monitoring system

2015 ◽  
Vol 20 (7) ◽  
pp. 563-577 ◽  
Author(s):  
Tadayuki Tsujita ◽  
Liam Baird ◽  
Yuki Furusawa ◽  
Fumiki Katsuoka ◽  
Yoshika Hou ◽  
...  
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Chemical Library

Monitoring of a Grid Storage Virtualization Service

2013 ◽  
Vol 5 (1) ◽  
pp. 53-69
Author(s):  
Jacques Jorda ◽  
Aurélien Ortiz ◽  
Abdelaziz M’zoughi ◽  
Salam Traboulsi
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Large Scale ◽  
Distributed Storage ◽  
Storage System ◽  
Data Access ◽  
Data Placement ◽  
Workload Prediction ◽  
Storage Virtualization

Grid computing is commonly used for large scale application requiring huge computation capabilities. In such distributed architectures, the data storage on the distributed storage resources must be handled by a dedicated storage system to ensure the required quality of service. In order to simplify the data placement on nodes and to increase the performance of applications, a storage virtualization layer can be used. This layer can be a single parallel filesystem (like GPFS) or a more complex middleware. The latter is preferred as it allows the data placement on the nodes to be tuned to increase both the reliability and the performance of data access. Thus, in such a middleware, a dedicated monitoring system must be used to ensure optimal performance. In this paper, the authors briefly introduce the Visage middleware – a middleware for storage virtualization. They present the most broadly used grid monitoring systems, and explain why they are not adequate for virtualized storage monitoring. The authors then present the architecture of their monitoring system dedicated to storage virtualization. We introduce the workload prediction model used to define the best node for data placement, and show on a simple experiment its accuracy.

scholarly journals Performance-Aware Scheduling of Parallel Applications on Non-Dedicated Clusters

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 982 ◽  
Author(s):  
Alberto Cascajo ◽  
David E. Singh ◽  
Jesus Carretero
Keyword(s):  
Large Scale ◽  
Job Scheduling ◽  
Parallel Applications ◽  
Data Staging ◽  
Performance Improvements ◽  
Practical Evaluation ◽  
Significant Performance ◽  
Scalable Monitoring ◽  
And Control ◽  
New Strategies

This work presents a HPC framework that provides new strategies for resource management and job scheduling, based on executing different applications in shared compute nodes, maximizing platform utilization. The framework includes a scalable monitoring tool that is able to analyze the platform’s compute node utilization. We also introduce an extension of CLARISSE, a middleware for data-staging coordination and control on large-scale HPC platforms that uses the information provided by the monitor in combination with application-level analysis to detect performance degradation in the running applications. This degradation, caused by the fact that the applications share the compute nodes and may compete for their resources, is avoided by means of dynamic application migration. A description of the architecture, as well as a practical evaluation of the proposal, shows significant performance improvements up to 20% in the makespan and 10% in energy consumption compared to a non-optimized execution.

A large-scale customer-accessible energy monitoring system

2016 ◽  
Author(s):  
Rafael Nilson Rodrigues ◽  
Juliano Kasmirski Zatta ◽  
Jonas Vieira de Souza ◽  
Anna Luiza Espindola ◽  
Eduardo Galera de Carvalho
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Energy Monitoring
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