Meta-data Management System for High-Performance Large-Scale Scientific Data Access

2000 ◽  
pp. 293-300 ◽  
Author(s):  
Wei-keng Liao ◽  
Xaiohui Shen ◽  
Alok Choudhary
Keyword(s):  
Data Management ◽  
Management System ◽  
High Performance ◽  
Large Scale ◽  
Data Access ◽  
Scientific Data ◽  
Data Management System ◽  
Meta Data

scholarly journals Bringing introspection into BlobSeer: Towards a self-adaptive distributed data management system

2011 ◽  
Vol 21 (2) ◽  
pp. 229-242 ◽  
Author(s):  
Alexandra Carpen-Amarie ◽  
Alexandru Costan ◽  
Jing Cai ◽  
Gabriel Antoniu ◽  
Luc Bougé
Keyword(s):  
Data Management ◽  
Management System ◽  
Large Scale ◽  
Data Access ◽  
Relevant Information ◽  
Data Management System ◽  
Specific Information ◽  
Distributed Data ◽  
Distributed Data Management ◽  
Self Adaptive

Bringing introspection into BlobSeer: Towards a self-adaptive distributed data management system Introspection is the prerequisite of autonomic behavior, the first step towards performance improvement and resource usage optimization for large-scale distributed systems. In grid environments, the task of observing the application behavior is assigned to monitoring systems. However, most of them are designed to provide general resource information and do not consider specific information for higher-level services. More precisely, in the context of data-intensive applications, a specific introspection layer is required to collect data about the usage of storage resources, data access patterns, etc. This paper discusses the requirements for an introspection layer in a data management system for large-scale distributed infrastructures. We focus on the case of BlobSeer, a large-scale distributed system for storing massive data. The paper explains why and how to enhance BlobSeer with introspective capabilities and proposes a three-layered architecture relying on the MonALISA monitoring framework. We illustrate the autonomic behavior of BlobSeer with a self-configuration component aiming to provide storage elasticity by dynamically scaling the number of data providers. Then we propose a preliminary approach for enabling self-protection for the BlobSeer system, through a malicious client detection component. The introspective architecture has been evaluated on the Grid'5000 testbed, with experiments that prove the feasibility of generating relevant information related to the state and behavior of the system.

Sensor Grid Enhancement with Data Management System for Ubiquitous Healthcare Computing

2013 ◽  
pp. 184-210
Author(s):  
Nikolaos Preve
Keyword(s):  
Data Management ◽  
Network Architecture ◽  
Management System ◽  
Data Access ◽  
Sensor Nodes ◽  
Data Management System ◽  
Biomedical Sensors ◽  
Communication Ability ◽  
Open Geospatial Consortium ◽  
Network Technologies

A Wireless Sensor Network (WSN) can be deployed to monitor the health of patients suffering from critical diseases. A wireless network consisting of biomedical sensors can also be implanted into the patient's body and can monitor the patients' conditions. These sensor devices, apart from having an enormous capability of collecting data from their physical surroundings, are also resource constraint in nature with a limited processing and communication ability. Therefore, it is necessary to integrate them with the Grid technology in order to process and store the collected data by the sensor nodes. This chapter proposes the SEnsor Grid Enhancement Data Management system, called SEGEDMA, ensuring the integration of different network technologies and the continuous data access to system users. The main contribution of this work is to achieve the interoperability of both technologies through a novel network architecture ensuring also the interoperability of Open Geospatial Consortium (OGC) and HL7 standards. According to the results SEGEDMA can be applied successfully in a decentralized healthcare environment.

Applications of Distributed Parallel Real Time Database on Power Grid

2013 ◽  
Vol 816-817 ◽  
pp. 488-492
Author(s):  
Li Xin Li ◽  
Wei Zhou ◽  
Qi Qiang Sun ◽  
Jiao Dai ◽  
Ji Zhong Han ◽  
...  
Keyword(s):  
Data Management ◽  
Real Time ◽  
Management System ◽  
Power Grid ◽  
Database Design ◽  
Experimental Results ◽  
Data Management System ◽  
Meta Data ◽  
The Real ◽  
Real Time Database

In order to make the real time database more suitable for the computing features, this article points to the distributed and parallel real time database design and architecture. First, a mapping table from table file to machine nodes is established, and then can use meta-data management system to store and manage the mapping table to meet the characteristics of high concurrent access. The whole network computation can access the unified interface provided by the real-time database, retrive data from each node, then collect the data. Experimental results show that this study and the systems designed can meet the computing requirements of a unified whole network.

Implementation of a large scale water quality data management system

1976 ◽  
Vol 10 (1) ◽  
pp. 31-36 ◽  
Author(s):  
William D. Haseman ◽  
Clyde Holsapple ◽  
Andrew B. Whinston
Keyword(s):  
Water Quality ◽  
Data Management ◽  
Management System ◽  
Large Scale ◽  
Data Management System ◽  
Quality Data ◽  
Water Quality Data

scholarly journals High performance astronomical data communications in the LSST data management system

2008 ◽  
Author(s):  
Jeff Kantor ◽  
Ron Lambert ◽  
Chip Cox ◽  
Deborah Levine ◽  
Chris Smith ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
High Performance ◽  
Data Management System ◽  
Data Communications ◽  
Astronomical Data
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