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A database approach to quality of service specification in video databases
- Source :
- SIGMOD record, SIGMOD record, ACM, 2003, 1, 32, pp.35-40. ⟨10.1145/640990.640995⟩
- Publication Year :
- 2003
- Publisher :
- Association for Computing Machinery (ACM), 2003.
-
Abstract
- International audience; Quality of Service (QoS) is defined as a set of perceivable attributes expressed in a user-friendly language with parameters that may be subjective or objective. Objective parameters are those related to a particular service and are measurable and verifiable. Subjective parameters are those based on the opinions of the end-users. We believe that quality of service should become an integral part of multimedia database systems and users should be able to query by requiring a quality of service from the system. The specification and enforcement of QoS presents an interesting challenge in multimedia systems development. A deal of effort has been done on QoS specification and control at the system and the network levels, but less work has been done at the application/user level. In this paper, we propose a language, in the style of constraint database languages, for formal specification of QoS constraints. The satisfaction by the system of the user quality requirements can be viewed as a constraint satisfaction problem. We believe this paper represents a first step towards the development of a database framework for quality of service management in video databases. The contribution of this paper lies in providing a logical framework for specifying and enforcing quality of service in video databases. To our knowledge, this work is the first from a database perspective on quality of service management.
- Subjects :
- Database
business.industry
Computer science
Service delivery framework
Service design
Quality of service
media_common.quotation_subject
Multimedia database
Service level objective
Service level requirement
02 engineering and technology
Mobile QoS
computer.software_genre
Query language
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
[INFO]Computer Science [cs]
020201 artificial intelligence & image processing
Quality (business)
business
computer
Software
Information Systems
media_common
Subjects
Details
- ISSN :
- 01635808
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- ACM SIGMOD Record
- Accession number :
- edsair.doi.dedup.....12fb7e3eda4b458df37a4cf4da2de0b4
- Full Text :
- https://doi.org/10.1145/640990.640995