JOURNAL ARTICLE

Physical Computing Resource Scheduling on Distributed Stream Processing System

Kailin Tang

Year: 2018 Journal:   Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Abstract

Recently, distributed stream computing has emerged as a popular model for real-time data stream analytics.This paper focuses on computing resources scheduling of distributed stream processing.To adapt to the fluctuation of data stream, distributed stream processing system must elastically provision the computing resources based on the observed workload.However, there is no system that satisfies all these requirements.Motivated by this, this paper presents a physical resource scheduling algorithm for elastic scheduling computing resources of stream processing task.Base on existing task tier elastic resource scheduling and system-tier resource scheduling, this paper proposes a collaborative algorithm.According to the fluctuant workload, task-tier dynamic resource scheduler config computing resource of stream processing task.Meanwhile, based on the scheduling decision of task-tier scheduler, the system-tier resource scheduler is assign physical computing resources to stream processing tasks.

Keywords:
Computer science Distributed computing Scheduling (production processes) Processor scheduling Stream processing Dynamic priority scheduling Fair-share scheduling Resource (disambiguation) Computer network Quality of service Engineering

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Topics

Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems

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