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Grid Data Handling

Grid Data Handling

Alexandru Costan
Copyright: © 2013 |Pages: 28
ISBN13: 9781466629196|ISBN10: 1466629193|EISBN13: 9781466629202
DOI: 10.4018/978-1-4666-2919-6.ch014
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MLA

Costan, Alexandru. "Grid Data Handling." IT Policy and Ethics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 294-321. https://doi.org/10.4018/978-1-4666-2919-6.ch014

APA

Costan, A. (2013). Grid Data Handling. In I. Management Association (Ed.), IT Policy and Ethics: Concepts, Methodologies, Tools, and Applications (pp. 294-321). IGI Global. https://doi.org/10.4018/978-1-4666-2919-6.ch014

Chicago

Costan, Alexandru. "Grid Data Handling." In IT Policy and Ethics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 294-321. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2919-6.ch014

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Abstract

To accommodate the needs of large-scale distributed systems, scalable data storage and management strategies are required, allowing applications to efficiently cope with continuously growing, highly distributed data. This chapter addresses the key issues of data handling in grid environments focusing on storing, accessing, managing and processing data. We start by providing the background for the data storage issue in grid environments. We outline the main challenges addressed by distributed storage systems: high availability which translates into high resilience and consistency, corruption handling regarding arbitrary faults, fault tolerance, asynchrony, fairness, access control and transparency. The core part of the chapter presents how existing solutions cope with these high requirements. The most important research results are organized along several themes: grid data storage, distributed file systems, data transfer and retrieval and data management. Important characteristics such as performance, efficient use of resources, fault tolerance, security, and others are strongly determined by the adopted system architectures and the technologies behind them. For each topic, we shortly present previous work, describe the most recent achievements, highlight their advantages and limitations, and indicate future research trends in distributed data storage and management.

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