A Cost-Aware Object Management Method for In-Memory Computing Frameworks
碩士 === 國立臺灣科技大學 === 電子工程系 === 104 === For in-memory computing frameworks such as Apache Spark, objects (i.e., the intermediated data) can be accommodated in the main memory for speeding up the execution process. In terms of a worker node in the in-memory computing frameworks, when its main memory sp...
Main Authors: | CHIEN-WEI CHEN, 陳建瑋 |
---|---|
Other Authors: | Chin-Hsien Wu |
Format: | Others |
Language: | en_US |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/21092497329431116619 |
Similar Items
-
A low-cost energy-aware cache memory management method
by: Jheng-Syuan Lee, et al.
Published: (2007) -
CCA: Cost-Capacity-Aware Caching for In-Memory Data Analytics Frameworks
by: Seongsoo Park, et al.
Published: (2021-03-01) -
A Memory-Cost-Aware Method to Reuse Imposter Billboards for Improving the Performance of Object Rendering on Tile-Based GPUs
by: Tsz-En Hung, et al.
Published: (2017) -
Design and Implementation of Resource-Aware Computation Framework over Heterogeneous Mobile Cloud Systems
by: Jian-Hao Chen, et al.
Published: (2013) -
Partial Distortion Based Computation-Aware Motion Estimation
by: Chien-Sheng Chen, et al.
Published: (2011)