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- W49625090 abstract "Scalable stream processing systems have to continuously manage changing resources efficiently, which is usually achieved by applying best-effort approaches on the level of processing operations. Thus, several authors have recently dealt with the problem of resource-aware stream processing, proposing methods and techniques capable of adapting to changing resources, both on the system and operator level. In this paper, we argue that Quality-of-Service (QoS) requirements are as mandatory as resource awareness when creating stream processing systems applicable in a wide and general range of data stream applications. We discuss QoS requirements and QoS-driven stream mining techniques as building blocks of the proposed framework for resourceand quality-aware stream processing systems. We exemplify the applicability of our approach by presenting and evaluating two QoS-driven clustering algorithms in detail." @default.
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- W49625090 date "2007-01-01" @default.
- W49625090 modified "2023-09-26" @default.
- W49625090 title "Quality of Service-Driven Stream Mining" @default.
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