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DMIf: Distributed Memory Integration framework for Big-Data Application
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- Authors
- Gyuil Cha, Shinyoung Ahn, Youngho Kim, Eunji Lim, Seungjo Bae
- Issue Date
- 2015-07
- Citation
- Asia Pacific International Conference on Information Science and Technology (APIC-IST) 2015, pp.207-210
- Language
- English
- Type
- Conference Paper
- Abstract
- In the cluster environment where nodes are connected via high speed network, approach to collect and utilize distributed memory has come into the spotlight for big-data application to require high performance data processing. Some big-data application, which require interactive, real-time, and complicated computation, became to need faster data processing than distributed file systems. So we propose a new framework, DMIf(Distributed Memory Integrated framework), which harvests idle memory of nodes in a cluster and serves it to the big-data application. The collected distributed memory will provide faster data processing in a cost-effective way for the big-data application.
- KSP Keywords
- Big-data, Data processing, Distributed File system, High Performance Data, High-speed networks, Integrated framework, Real-time, cost-effective, distributed memory, integration framework, memory integration