Performance-aware deployment of streaming applications in distributed stream computing systems
by Dawei Sun; Shang Gao; Xunyun Liu; Fengyun Li; Rajkumar Buyya
International Journal of Bio-Inspired Computation (IJBIC), Vol. 15, No. 1, 2020

Abstract: Performance-aware deployment of streaming applications is one of the key challenging problems in distributed stream computing systems. We proposed a performance-aware deployment framework (Pa-Stream) for distributed stream computing systems. By addressing the important aspects of the framework, this paper makes the following contributions: 1) investigated the performance-aware deployment of a streaming application over distributed and heterogeneous computing nodes, and provided a general application deployment model; 2) demonstrated a streaming applications deployment scheme by proposing an artificial bee colony strategy that deploys application's vertices onto the best set of computing nodes; an incremental online redeployment strategy was used to redeploy the running application; 3) developed and integrated Pa-Stream into Apache Storm platform; 4) evaluated the fulfilment of low latency and high throughput objectives in a distributed stream computing environment. Experimental results demonstrate that the proposed Pa-Stream provided effective performance improvements on latency, throughput and resource utilisation.

Online publication date: Mon, 16-Mar-2020

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