AgiMonitor: a remote database monitoring tool for main memory database

2014 ◽  
Author(s):  
Huazhuang Yao ◽  
Yongyan Wang ◽  
Shuai Wang ◽  
Kun Li ◽  
Chao Guo
Keyword(s):  
Main Memory ◽  
Monitoring Tool ◽  
Main Memory Database

A novel automatic virtual metrology system architecture for TFT-LCD industry based on main memory database

2012 ◽  
Vol 28 (4) ◽  
pp. 559-568 ◽  
Author(s):  
Min-Hsiung Hung ◽  
Wen-Huang Tsai ◽  
Haw-Ching Yang ◽  
Yi-Jhong Kao ◽  
Fan-Tien Cheng
Keyword(s):  
System Architecture ◽  
Main Memory ◽  
Virtual Metrology ◽  
Main Memory Database ◽  
Metrology System

A Novel Crash Recovery Scheme for Distributed Real-Time Databases

2009 ◽  
pp. 769-787
Author(s):  
Yingyuan Xiao
Keyword(s):  
Real Time ◽  
Agile Manufacturing ◽  
Database System ◽  
Main Memory ◽  
Information Support ◽  
Timing Constraints ◽  
Time Data ◽  
Main Memory Database ◽  
Distributed Database System ◽  
Hard Real Time

Recently, the demand for real-time data services has been increasing (Aslinger & Son, 2005). Many applications such as online stock trading, agile manufacturing, traffic control, target tracking, network management, and so forth, require the support of a distributed real-time database system (DRTDBS). Typically, these applications need predictable response time, and they often have to process various kinds of queries in a timely fashion. A DRTDBS is defined as a distributed database system within which transactions and data have timing characteristics or explicit timing constraints and system correctness that depend not only on the logic results but also on the time at which the logic results are produced. Similar to conventional real-time systems, transactions in DRTDBSs are usually associated with timing constraints. On the other hand, a DRTDBS must maintain databases for useful information, support the manipulation of the databases, and process transactions. Timing constraints of transactions in a DRTDBS are typically specified in the form of deadlines that require a transaction to be completed by a specified time. For soft realtime transactions, failure to meet a deadline can cause the results to lose their value, and for firm or hard real-time transactions, a result produced too late may be useless or harmful. DRTDBSs often process both temporal data that lose validity after their period of validity and persistent data that remain valid regardless of time. In order to meet the timing constraints of transactions and data, DRTDBSs usually adopt main memory database (MMDB) as their ground support. In an MMDB, “working copy” of a database is placed in the main memory, and a “secondary copy” of the database on disks serves as backup. Data I/O can be eliminated during a transaction execution by adopting an MMDB so that a substantial performance improvement can be achieved. We define a DRTDBS integrating MMDB as a distributed real-time main memory database system (DRTMMDBS).

Main Memory Database Systems

2017 ◽  
Vol 8 (1-2) ◽  
pp. 1-130 ◽  
Author(s):  
Frans Faerber ◽  
Alfons Kemper ◽  
Per-Åke Larson ◽  
Justin Levandoski ◽  
Tjomas Neumann ◽  
...  
Keyword(s):  
Database Systems ◽  
Main Memory ◽  
Main Memory Database
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