Search: onr:"swepub:oai:DiVA.org:liu-22227" >
Error-Driven QoS Ma...
Error-Driven QoS Management in Imprecise Real-Time Databases
-
- Amirijoo, Mehdi, 1978- (author)
- Linköpings universitet,Tekniska högskolan,RTSLAB - Laboratoriet för realtidssystem
-
- Hansson, Jörgen, 1970- (author)
- Linköpings universitet,Tekniska högskolan,RTSLAB - Laboratoriet för realtidssystem
-
- Son, Sang H (author)
- Dept. of Computer Science University of Virginia
-
(creator_code:org_t)
- Los Alamitos, CA, USA : IEEE Computer Society, 2003
- 2003
- English.
-
In: Euromicro Conference on Real-Time Systems,2003. - Los Alamitos, CA, USA : IEEE Computer Society. ; , s. 63-
- Related links:
-
http://www.ida.liu.s...
-
show more...
-
https://urn.kb.se/re...
-
show less...
Abstract
Subject headings
Close
- In applications such as web-applications, e-commerce, and engine control, the demand for real-time data services has increased. In these applications, requests have to be processed within their deadlines using fresh data. Since the workload of these systems cannot be precisely predicted, they can become overloaded and as a result, deadline and freshness violations may occur. To address this problem we propose a QoS-sensitive approach based on imprecise computation, applied on transactions and data objects. We propose two algorithms FCS-HEF and FCS-HEDF that give a robust and controlled behavior of RTDBs in terms of transaction and data preciseness, even for transient overloads and with inaccurate run-time estimates of the transactions. Further, performance experiments show that the proposed algorithms outperform a set of baseline algorithms including FCS-EDF, which schedules the transactions using EDF.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- real-time system
- real-time database
- QoS
- feedback control
- realtidssystem
- realtidsdatabaser
- reglerteknik
- _CUGS
- Computer science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
To the university's database