Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The era of big data has led to the emergence of new real-time distributed stream processing engines like Apache Storm.  present Stela (STream processing ELAsticity), a stream processing system that supports scale-out and scale-in operations in an on-demand manner, i.e., when the user requests such a scaling operation. Stela meets two goals: 1) it optimizes post-scaling throughput, and 2) it minimizes interruption to the ongoing computation while the scaling operation is being carried out.  have integrated Stela into Apache Storm.  present experimental results using micro-benchmark Storm applications, as ll as production applications from industry (Yahoo! Inc. and IBM). Our experiments show that compared to Apache Storm's default scheduler, Stela's scale-out operation achieves throughput that is 21-120% higher, and interruption time that is significantly smaller. Stela's scale-in operation chooses the right set of servers to remove and achieves 2X-5X higher throughput than Storm's default strategy.
['Le Xu', 'Boyang Peng', 'Indranil Gupta']
I am writing a research paper on a idea Stela: Enabling Stream Processing Systems to Scale-in and Scale-out On-demand
[{"from": "human", "value": "I am writing a research paper on a idea Stela: Enabling Stream Processing Systems to Scale-in and Scale-out On-demand"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The era of big data has led to the emergence of new real-time distributed stream processing engines like Apache Storm.  present Stela (STream processing ELAsticity), a stream processing system that supports scale-out and scale-in operations in an on-demand manner, i.e., when the user requests such a scaling operation. Stela meets two goals: 1) it optimizes post-scaling throughput, and 2) it minimizes interruption to the ongoing computation while the scaling operation is being carried out.  have integrated Stela into Apache Storm.  present experimental results using micro-benchmark Storm applications, as ll as production applications from industry (Yahoo! Inc. and IBM). Our experiments show that compared to Apache Storm's default scheduler, Stela's scale-out operation achieves throughput that is 21-120% higher, and interruption time that is significantly smaller. Stela's scale-in operation chooses the right set of servers to remove and achieves 2X-5X higher throughput than Storm's default strategy."}]