山东大学教师主页 Liu Shijun RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning Home

Personal Information

Degree:Doctor
Status:Employed
School/Department:School of Software

Gender:Male

Education Level:With Certificate of Graduation for Doctorate Study

Alma Mater:Shandong University

Current position: Home / Scientific Research / Paper Publications

RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning

Release Time:2023-05-21 | Hits:

Institution:软件学院

Title of Paper:RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning

Journal:IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

First Author:刘明宇

Document Code:D5B977BEEC5A4C249093DB32A2087635

Issue:vol. 34, no. 2

Number of Words:6

Translation or Not:No

Date of Publication:2023-02