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Data stream management systems (DSMSs) usually need to satisfy multiple QoS requirements of applications, including timing and precision constraints. This paper focuses on the problem of real-time query model and scheduling in a DSMS to meet multiple performance objectives. At first, a mixed real-time query model is introduced which is composed of periodic, continuous and one-time queries with deadlines...
Many stream-based applications have real-time performance requirements for continuous queries over time varying data streams. In order to address this challenge, a real-time continuous query model is presented to process multiple queries with timing constraints. In this model, the execution of one tuple passing through an operator path is modeled as a real-time task instance. A fine-grained scheduling...
With the advance of the semantic Web, varying RDF data were increasingly generated, published, queried, and reused via the Web. For example, the DBpedia, a community effort to extract structured data from Wikipedia articles, broke 100 million RDF triples in its latest release. Initiated by Tim Berners-Lee,likewise, the Linking Open Data (LOD) project has published and interlinked many open licence...
When streams rates exceed the system capacity, a data stream management system (DSMS) becomes overloaded and fails to satisfy all kinds of requirements, such as tuple latency and result precision. Especially, in a time-critical environment, queries should be completed not just timely but within certain deadlines. Semantic load shedding is an effective approach to alleviate workloads. In order to improve...
Load shedding is a challengeable issue in data stream management systems (DSMSs). When data stream rates exceed system capacity, the overloaded DSMS fails to process all of its input data and keep up with the rate of data arrival. Especially, in a time-critical environment, queries should be completed not just timely but within certain deadlines. Existing strategies are poor at handling huge fluctuant...
Streaming applications require long-running query services against data streams. Existing data stream management systems (DSMSs) are poor at processing long-running queries with timing constrains. To address this problem, we present a real-time DSMS which can support real-time query services in unpredictable environments. In this system, long- running queries over data streams are divided into two...
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