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Nowadays, distributed Stream calculating is a leading technology for analyzing and managing massive streaming data. When distributed Stream calculating system working, because of data volume and distribution in the input streams often change over time, the system may be overloaded. While overload can cause the system to crash. This paper presents GOFS, a model for solving overload on distributed stream calculating system. GOFS is based on dynamic resource scheduling and load shedding. Extensive experiments are conducted to evaluate the performance and effectiveness of GOFS.

GOFS: A Model for Solving Overload on Distributed Stream Calculating System