Name
Abstract | ||
|---|---|---|
The design of a distributed real-time database based on cloud theory is proposed. A distributed indexing mechanism is researched to achieve more efficient management of industrial data. A real-time transaction scheduling algorithm in distributed environment is designed to improve transaction processing efficiency. A network dynamic routing and business related load balancing mechanism is researched to deal with modification of system scale and make full use of system resources. These technologies are utilized to implement distributed real-time database for large-scale process industry. Experimental results show that the cloud-based database has better performance and significantly improves data throughput, fault tolerance and scalability. © 2013 IEEE. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCA.2013.6565056 | ICCA |
Keywords | Field | DocType |
fault tolerance,indexing,design,routing,cloud computing,servers,transaction processing,resource allocation,real time systems,scalability,scheduling,distributed databases | Transaction processing,Serializability,Computer science,Online transaction processing,Distributed database,Distributed concurrency control,Distributed transaction,Scalability,Distributed computing,Real-time database | Conference |
Volume | Issue | ISSN |
null | null | 19483457 |
ISBN | Citations | PageRank |
978-1-4673-4707-5 | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| De-wen Li | 1 | 0 | 0.68 |
| Wenjun Huang | 2 | 0 | 1.69 |
| Long Li | 3 | 0 | 0.34 |
| Li Long | 4 | 7 | 5.30 |