Provisioning Input and Output Data Rates in Data Processing Frameworks

Autor: Tien Van Do, Nam H. Do, Csaba Rotter, Lorant Farkas
Rok vydání: 2020
Předmět:
Zdroj: Journal of Grid Computing. 18:491-506
ISSN: 1572-9184
1570-7873
DOI: 10.1007/s10723-020-09508-0
Popis: This paper is motivated by the need of deadline-bounded applications in live mobile network environments to obtain the guarantee and the appropriate share of an input and output (I/O) data rate. However, data processing frameworks only support the request of memory and the computing capacity at present. In this paper, we propose a solution that allows the control of disk I/O and network I/O for data processing applications in YARN and Mesos frameworks. Experimental results show that our tool can provision the I/O data rate sharing of competing data processing applications.
Databáze: OpenAIRE