An Adaptive Middleware for Near-Time Processing of Bulk Data
نویسندگان
چکیده
The processing type is usually a fixed property of an enterprise system that is decided when the architecture of the system is designed, prior to implementing the system. This choice depends on the non-functional requirements of the system. These requirements are not fixed and can change over time. In this paper, we introduce the concept of a middleware that is able to adapt its processing type fluently between batch processing and single-event processing. By adjusting the data granularity at runtime, the system is able to minimise the end-to-end latency for different load scenarios. Keywords–adaptive middleware; message aggregation; latency; throughput
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تاریخ انتشار 2014