Power Effective Distributed Database Management System Capable of High-speed Scaling

2016 Fiscal Year Final Research Report

• Project/Area Number: 26730040
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Software
• Research Institution: Kogakuin University
• Principal Investigator: Yamaguchi Saneyasu 工学院大学, 情報学部(情報工学部), 准教授 (50439262)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: ビッグデータ / 分散KVS / 省電力 / データストレージ / ネットワーク

Outline of Final Research Achievements

In this work, I have aimed to improve scaling performance of KVS (Key-Value Store) DBMS (Database Management System). For this purpose, I have proposed two methods. One is a method for improving cache behavior. The other is a method for improving behavior of I/O scheduler. My evaluation has demonstrated that these method have been able to improve scaling performance of KVS system.

Free Research Field

オペレーティングシステム