TY  -  
T1  - Cost-effective Resource Provisioning for Spark Workloads 
SN  -  /  
UR  - http://hdl.handle.net/10138/307832 
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A1  - Chen, Yuxing; Lu, Jiaheng; Chen, Chen; Hoque, Mohammad Ashraful; Tarkoma, Sasu 
A2  -  
PB  - ACM 
Y1  - 2019 
LA  - eng 
AB  - Spark is one of the prevalent big data analytical platforms. Configuring proper resource provision for Spark jobs is challenging but essential for organizations to save time, achieve high resource utilization, and remain cost-effective. In this paper, we study the challenge of determining the proper parameter values that meet the performance requirements of workloads while minimizing both resource cost and resource utilization time. We propose a simulation-based cost model to predict the perform... 
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OP  -  
KW  - 113 Computer and information sciences 
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ER  -