Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Heavy-tailed probability distributions in the World Wide Web
A practical guide to heavy tails
Resource discovery in distributed networks
Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
QoS-based Architectures for Geographically Replicated Web Servers
Cluster Computing
Dynamic Load Balancing on Web-Server Systems
IEEE Internet Computing
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Modeling redirection in geographically diverse server sets
WWW '03 Proceedings of the 12th international conference on World Wide Web
Dynamic Load Balancing in Geographically Distributed Heterogeneous Web Servers
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Redirection Algorithms for Load Sharing in Distributed Web-server Systems
ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
Efficient, Proximity-Aware Load Balancing for DHT-Based P2P Systems
IEEE Transactions on Parallel and Distributed Systems
Insight and perspectives for content delivery networks
Communications of the ACM - Personal information management
Dynamic connectivity management with an intelligent route service control point
Proceedings of the 2006 SIGCOMM workshop on Internet network management
An architecture for virtual organization (VO)-based effective peering of content delivery networks
Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks
Wresting control from BGP: scalable fine-grained route control
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference
Proceedings of the 17th international conference on World Wide Web
Computer Communications
Gang scheduling in multi-core clusters implementing migrations
Future Generation Computer Systems
ANFIS and agent based bandwidth and delay aware anycast routing in mobile ad hoc networks
Journal of Network and Computer Applications
| Hi-index | 0.00 |
A constellation of Content Delivery Networks (CDNs), termed as peering CDNs, endeavors to guarantee adequate delivery performance when the incoming request load is overwhelming for a single provider alone. Each user is served by an optimal Web server in terms of network cost, even under heavy load conditions. Before it could be comprehended, appropriate resource discovery and request-redirection mechanisms, coupled with an optimal server selection strategy, should be in place to perform the distribution of highly skewed loads. In this paper, we devise an effective load distribution strategy by adopting distributed resource discovery and dynamic request-redirection mechanisms, taking traffic load and network proximity into account. The load distribution strategy reacts to overload conditions, at a time instance, in any primary CDN server(s) and instantly distributes loads to the target servers, minimizing network cost and observing practical constraints. In this context, we exercise an asynchronous resource discovery protocol, reminiscent of the public/subscribe notion, and formulate the resulting redirection scheme. Extensive simulation analyses demonstrate the novelty of our approach. In particular, we show that our approach is effective to handle high load skews by preserving locality, and thus achieve service ''responsiveness''. We also perform a sensitivity analysis to reveal that our redirection scheme outperforms other alternatives to handle peak loads.