An Architecture for Context-Aware Adaptive Data Stream Mining
نویسندگان
چکیده
In resource-constrained devices, adaptation of data stream processing to variations of data rates, availability of resources and environment changes is crucial for consistency and continuity of running applications. Context-aware and resource-aware adaptation, as a new dimension of research in data stream mining, enhances and improves distributed data stream processing tasks. Context-awareness is one of the key aspects of ubiquitous computing as applications’ successful operations rely on detecting changes and adjusting accordingly. This paper presents a general architecture for context-aware adaptive mining of data streams that aims to dynamically and autonomously adjust input, output and algorithms of data stream mining according to changes in context and resource availability.
منابع مشابه
Context-aware adaptive data stream mining
In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation, there is a need to go beyond mere computational and device capabilities to encompass the full spectrum of contextawareness. This paper presen...
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