A caching relay for the World Wide Web
Selected papers of the first conference on World-Wide Web
Scheduling on-demand broadcasts: new metrics and algorithms
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A study on channel allocation for data dissemination in mobile computing environments
Mobile Networks and Applications - Special issue: resource management in mobile wireless communication networks
Collaborative proxy system for distributed Web content transcoding
Proceedings of the ninth international conference on Information and knowledge management
On balancing between transcoding overhead and spatial consumption in content adaptation
Proceedings of the 8th annual international conference on Mobile computing and networking
A Context-Aware Decision Engine for Content Adaptation
IEEE Pervasive Computing
Data on Air: Organization and Access
IEEE Transactions on Knowledge and Data Engineering
Optimizing Index Allocation for Sequential Data Broadcasting in Wireless Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
Data Staging for On-Demand Broadcast
Proceedings of the 27th International Conference on Very Large Data Bases
On Exploring Aggregate Effect for Efficient Cache Replacement in Transcoding Proxies
IEEE Transactions on Parallel and Distributed Systems
Energy Management on Handheld Devices
Queue - Power Management
Energy-Aware Media Transcoding in Wireless Systems
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Managing power consumption in networks on chips
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Exponential index: a parameterized distributed indexing scheme for data on air
Proceedings of the 2nd international conference on Mobile systems, applications, and services
An energy-conserved on-demand data broadcasting system
Proceedings of the 6th international conference on Mobile data management
Time-Critical On-Demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation
IEEE Transactions on Parallel and Distributed Systems
Versatile Transcoding Proxy for Internet Content Adaptation
IEEE Transactions on Multimedia
A QoS-aware transcoding system using composite multimedia document and component merge queue
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
CPU Power Management in Video Transcoding Servers
Proceedings of Network and Operating System Support on Digital Audio and Video Workshop
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Most research works in transcoding proxies in mobile computing environments are on the basis of the traditional client-server architecture and do not employ the data broadcast technique. In addition, the issues of QoS provision and energy conservation are also not addressed in the prior studies. In view of this, we design in this paper a QoS-aware and energy-conserving transcoding proxy by utilizing the on-demand broadcasting technique. We first propose a QoS-aware and energy-conserving transcoding proxy architecture, abbreviated as QETP, and model it as a queuing network consisting of three queues. By analyzing the queuing network, three lemmas are derived to estimate the load of these queues. We then propose a version decision policy and a service admission control scheme to provide QoS in QETP. The derived lemmas are used to guide the execution of the proposed version decision policy and service admission control scheme to achieve the given QoS requirement. In addition, we also propose a data indexing method to reduce the power consumption of clients. To measure the performance of the proposed architecture, three experiments are conducted. Experimental results show that the average access time reduction of the proposed scheme over the traditional client-server architecture ranges from 45 percent to 75 percent. Experimental results also show that the proposed scheme is more scalable than the traditional client-server architecture and is able to effectively control the system load to attain the given QoS requirements. In addition, the proposed scheme is able to greatly reduce the average tuning time of clients at the cost of a slight increase (around 5 percent in our experiments) in average access time.