An efficient and reliable reservation algorithm for mobile transactions
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
RaDaR: a scalable architecture for a global Web hosting service
WWW '99 Proceedings of the eighth international conference on World Wide Web
Mobile streaming media CDN enabled by dynamic SMIL
Proceedings of the 11th international conference on World Wide Web
Proceedings of the IFIP 17th World Computer Congress - TC6 Stream on Communication Systems: The State of the Art
ANSS '03 Proceedings of the 36th annual symposium on Simulation
Location prediction algorithms for mobile wireless systems
Wireless internet handbook
Local predictive resource reservation for handoff in multimedia wireless IP networks
IEEE Journal on Selected Areas in Communications
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Grid design for mobile thin client computing
Future Generation Computer Systems
Review: A survey on content-centric technologies for the current Internet: CDN and P2P solutions
Computer Communications
A study on dynamic state information (DSI) around users for safe urban life
Computers & Mathematics with Applications
MigCEP: operator migration for mobility driven distributed complex event processing
Proceedings of the 7th ACM international conference on Distributed event-based systems
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We propose a Content Delivery Network (CDN) with servers arranged hierarchically in multiple tiers. Lower-tier servers are topologically closer to the clients, and hence can deliver better QoS in terms of end-to-end delay and jitter. On the other hand, higher-tier servers have a larger coverage area and hence their clients incur fewer server handoffs. We present a server selection scheme that reduces the number of server handoffs while meeting differentiated QoS requirement for each client. The scheme dynamically estimates the client's residence time and uses a simple algorithm to assign clients to the appropriate tier. The scheme also caters for traditional server selection criteria, such as the expected QoS from the servers, bandwidth consumption, and the server load. We show through simulations that the scheme can achieve up to 15% reduction in handoffs, at the cost of minimal increases in delay and jitter while ensuring that clients of different QoS classes experience different delays.