A Scalable Platform for Monitoring Data Intensive Applications
Latest advances in information technology and the widespread growth in different areas are producing large amounts of data. Consequently, in the past decade a large number of distributed platforms for storing and processing large datasets have been proposed. Whether in development or in production,...
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| Veröffentlicht in: | Journal of grid computing 2019-09, Vol.17 (3), p.503-528 |
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| container_title | Journal of grid computing |
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| creator | Drăgan, Ioan Iuhasz, Gabriel Petcu, Dana |
| description | Latest advances in information technology and the widespread growth in different areas are producing large amounts of data. Consequently, in the past decade a large number of distributed platforms for storing and processing large datasets have been proposed. Whether in development or in production, monitoring the applications running on these platforms is not an easy task, dedicated tools and platforms were proposed for this task yet none are specially designed for Big Data frameworks. In this paper we present a distributed, scalable, highly available platform able to collect, store, query and process monitoring data obtained from multiple Big Data frameworks. Alongside the architecture we experimentally show that the solution proposed is scalable and can handle a substantial quantity of monitoring data. |
| doi_str_mv | 10.1007/s10723-019-09483-1 |
| format | Article |
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| ispartof | Journal of grid computing, 2019-09, Vol.17 (3), p.503-528 |
| issn | 1570-7873 1572-9184 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Big Data Computer Science Data management Management of Computing and Information Systems Monitoring Platforms Processor Architectures User Interfaces and Human Computer Interaction |
| title | A Scalable Platform for Monitoring Data Intensive Applications |
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