Grid Data Management: Open Problems and New Issues

Pacitti, Esther; Valduriez, Patrick; Mattoso, Marta

doi:10.1007/s10723-007-9081-9

Cited by 37 publications

(24 citation statements)

References 47 publications

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“…Two other surveys that are close to ours have appeared in [3] and [4], respectively. In the former, which mainly focuses on resource management and the potential benefits from employing agent-based solutions, a review is conducted which presents the fundamental problems of large scale data management in Grid systems and their characteristics, followed by an analysis of generic approaches based on Web services, P2P techniques and agents.…”

Section: Introductionsupporting

confidence: 82%

Database Oriented Grid Middlewares

Tsamoura

Gounaris

2009

2009 Fourth Balkan Conference in Informatics

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Efficient management of massive data sets is a key aspect in typical grid and e-science applications. To this end, the benefits of employing database technologies in such applications has been identified since the early days of grid computing, which aims at enabling coordinated resource sharing, knowledge generation and problem solving in dynamic, multi-institutional virtual organizations through a distributed, scalable, adaptive and autonomous infrastructure. Nowadays, databases are playing an increasingly important role, both when the data is (semi-) structured and when it is stored in flat files. This survey paper discusses in detail existing databaseoriented grid middleware. It focuses on several complementary aspects, such as dynamicity, autonomy, resilience to failures, and performance, and presents the characteristics, capabilities and limitations of existing solutions.

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Section: Introductionsupporting

confidence: 82%

Database Oriented Grid Middlewares

Tsamoura

Gounaris

2009

2009 Fourth Balkan Conference in Informatics

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“…Several works concerning Grid data management [7,34,40] recognize and identify data security and data privacy as major issues. Grid middlewares usually provide resources management's capabilities, ensuring security on accessing services and on communicating data, but they often lacks of data protection from direct malicious accesses at system level.…”

mentioning

confidence: 99%

GS3: a Grid Storage System with Security Features

et al. 2010

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Technological trend and the advent of worldwide networks, such as the Internet, made computing systems more and more powerful, increasing both processing and storage capabilities. In Grid computing infrastructures, the data storage subsystem is physically distributed among several nodes and logically shared among several users. This highlights the necessity of a) availability for authorized users only, b) confidentiality, and c) integrity of information and data: in one term security. In this work we face the problem of data security in Grid, by proposing a lightweight cryptography algorithm combining the strong and highly secure asymmetric cryptography technique (RSA) with the symmetric cryptography (AES). The proposed algorithm, we named Grid secure storage system (GS 3 ), has been implemented on

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“…Such schema is a data integration of many LFC servers, one for each VO. In general terms, the data integration systems achieve better scale, up to hundreds of data sources [18], where they can not continue scaling. For our case, the data sources are the LFC servers, which usually are in the magnitude of tens of them, therefore, they are expected to have good scalability.…”

Section: Theoretical Aspects Of the Deployment Analysis And The Evalumentioning

confidence: 99%

A Decentralized Deployment Strategy and Performance Evaluation of LCG File Catalog Service

2010

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The LHC Computing Grid (LCG) leads by CERN, has solved with the LCG File Catalog (LFC) the major problem of scaling the data management catalog. However, additional performance issues should be faced to deploy a painless catalog service. With this aim, we present a decentralized LFC server configuration, and its performance evaluation compared with the traditional LFC deployment. A performance analysis is shown, including not only the catalog server, but also analysing the client side overhead. We find that the LFC service has in the clients a relevant workload of the overall service. The experimental results show that the proposed LFC deployment for servers and clients, improves the performance of the service.

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Grid Data Management: Open Problems and New Issues

Cited by 37 publications

References 47 publications

Database Oriented Grid Middlewares

Database Oriented Grid Middlewares

GS3: a Grid Storage System with Security Features

A Decentralized Deployment Strategy and Performance Evaluation of LCG File Catalog Service

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