Dynamic Multi-Resource Optimization for Storage Acceleration in Cloud Storage Systems-Reference-Cited by-同舟云学术

Dynamic Multi-Resource Optimization for Storage Acceleration in Cloud Storage Systems

Author:

Lee Kyungtae¹^ORCID,Kim Jinhwi²,Kwak Jeongho³^ORCID,Kim Yeongjin¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Inha University, Incheon, South Korea

2. Information and Communication Engineering Department, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea

3. Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea

Funder

IITP

Artificial Intelligence Convergence Research Center

Federated Learning for Privacy-Preserving Video Caching Networks

Continual Learning for Human-Like Recall of Artificial Neural Networks

Inha University

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

Reference40 articles.

3. A tale of two erasure codes in HDFS;xia;Proc USENIX Conf File Storage Technol,2015

5. Ceph: A scalable, high-performance distributed file system;weil;Proc 7th Symp Operating Syst Des Implementation,2006

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