Abstract
The paper discusses the design and prototype implementation of a QoS aware multimedia database system. Recent research in multimedia databases has devoted little attention to the aspect of the integration of QoS support at the
user level. One common scenario which we are concerned with connects a user through a visual interface to a multitude of media object stores. The user demands satisfiability of a set of quality parameter bounds specified at query
time or before (via user profile mappings). The user is not aware of detailed low-level QoS parameters but rather specifies high-level, qualitative attributes on the media query. Our proposed architecture to enable end-to-end QoS control,
the QoS-Aware Query Processor (QuaSAQ), is motivated by query processing and optimization techniques in traditional database management systems. The proposed solution relies on mediation through several components (two of which are the QoP Browser and Quality Manager) that enable searching locating, composing and presenting of multimedia objects with associated QoS constraints. In addition to an overview of key research issues, this paper also presents some of the proposed design solutions. One focus problem is how to evaluate the alternative plans for serving QoS-enhanced queries. We propose a novel cost model that explicitly takes the resource utilization of plans and the current system contention level into account. Experiments run on the QuaSAQ prototype show significantly improved QoS and throughput
in media query processing.
user level. One common scenario which we are concerned with connects a user through a visual interface to a multitude of media object stores. The user demands satisfiability of a set of quality parameter bounds specified at query
time or before (via user profile mappings). The user is not aware of detailed low-level QoS parameters but rather specifies high-level, qualitative attributes on the media query. Our proposed architecture to enable end-to-end QoS control,
the QoS-Aware Query Processor (QuaSAQ), is motivated by query processing and optimization techniques in traditional database management systems. The proposed solution relies on mediation through several components (two of which are the QoP Browser and Quality Manager) that enable searching locating, composing and presenting of multimedia objects with associated QoS constraints. In addition to an overview of key research issues, this paper also presents some of the proposed design solutions. One focus problem is how to evaluate the alternative plans for serving QoS-enhanced queries. We propose a novel cost model that explicitly takes the resource utilization of plans and the current system contention level into account. Experiments run on the QuaSAQ prototype show significantly improved QoS and throughput
in media query processing.
| Original language | English |
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| Publication status | Published - 2003 |
| Externally published | Yes |
Publication series
| Name | Technical Report CSD TR 03-031, Purdue University |
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