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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/8153

Title: Scheduling transactions with temporal constraints: Exploiting data semantics
Authors: XIONG, M
RAMAMRITHAM, K
STANKOVIC, JA
TOWSLEY, D
SIVASANKARAN, R
Keywords: real-time databases
Issue Date: 2002
Publisher: IEEE COMPUTER SOC
Citation: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 14(5), 1155-1166
Abstract: In this paper, issues involved in the design of a real-time database which maintains data temporal consistency are discussed. The concept of data-deadline is introduced and time cognizant transaction scheduling policies are proposed. Informally, data-deadline is a deadline assigned to a transaction due to the temporal constraints of the data accessed by the transaction. Further, two time cognizant forced wait policies which improve performance significantly by forcing a transaction to delay further execution until a new version of sensor data becomes available are proposed. A way to exploit temporal data similarily to improve performance is also proposed. Finally, these policies are evaluated through detailed simulation experiments. The simulation results show that taking advantage of temporal data semantics in transaction scheduling can significantly improve the performance of user transactions in real-time database systems. In particular, it is demonstrated that under the forced wait policy, the performance can be improved significantly. Further improvements result by exploiting data similarity.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/8153
http://hdl.handle.net/10054/8153
ISSN: 1041-4347
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