Toward designing a dynamic CPU cap manager for timely dataflow platforms

• In this work, we propose a control-based solution for the problem of CPU resource allocation in data-flow platform that considers the degradation of performance caused by running concurrent data-flow processes. Our aim is to cut the QoS violation incidents for applications belonging to the highest QoS class. The performance of the proposed solution is bench-marked with the famous round robin algorithm. The experimental results confirms that the proposed algorithm can decrease the latency of processing data records for applications by 48% compared to the round robin policy.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Nyckelord

Distributed data-flow processing engines

Quality of service

Scheduling and resource allocation algorithms

Concurrency control; Data transfer; Quality of service; Resource allocation; Routers; Scheduling algorithms

CPU resources; Data flow; Distributed data flow; QOS class; Resource allocation algorithms; Round Robin; Round Robin algorithms

Data handling

Computer Science

Datavetenskap

Publikations- och innehållstyp

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