Open AccessResource Management Method of Distributed Parallel Database Based on Directed Graph
Author(s) -
Yong Shi,
Huayun Zhang,
Xiang Wang,
Yan Zhou,
Shusong Jiang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012109
Subject(s) - computer science , distributed computing , cache , database , distributed database , graph , scheduling (production processes) , computer network , theoretical computer science , operations management , economics
A distributed parallel database resource management method based on directed graph is proposed. By using content distributor based on distributed unstructured P2P network association, the high performance and stability of distributed parallel database system in dynamic changing environment are guaranteed. The problem of network congestion caused by too many redundant messages and the “barrel effect” caused by resource imbalance due to differential configuration is solved, through resource search algorithm based on directed graph lookahead, and the query node cached the resource information of two-level neighbor nodes. By adopting the Linux cgroups resource management mechanism, fully considering the multi tenant and multi factor based resource scheduling strategy, reduce resource fragments and better meet the problem of distributed parallel database storage or hot spot processing.