Publication: A scalable platform for monitoring data intensive applications
Loading...
Identifiers
ISSN: 1570-7873
ISSN: 1572-9184 (online)
Publication date
2019-09
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature B.V.
Impact
Export
Abstract
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.
Description
ASPIDE: Exascale programIng models for extreme data processing
Keywords
Big data, Cloud computing, Monitoring, Big data applications, Scalable monitoring
Bibliographic citation
Journal of grid computing 17(3), Pp. 503-528