Amsterdam, The Netherlands
May 26, 1998 to May 29, 1998
Michele Colajanni , Universita' di Roma "Tor Vergata"
Valeria Cardellini , Universita' di Roma "Tor Vergata"
Philip S. Yu , IBM
With ever increasing Web traffic, a distributed multi-server Web site can provide scalability and flexibility to cope with growing client demands. Load balancing algorithms to spread the requests across multiple Web servers are crucial to achieve the scalability. Various domain name server (DNS) based schedulers have been proposed in the literature, mainly for multiple homogeneous servers. The presence of heterogeneous Web servers not only increases the complexity of the DNS scheduling problem, but also makes previously proposed algorithms for homogeneous distributed systems not directly applicable. This leads us to propose new policies, called adaptive TTL algorithms, that take into account of both the uneven distribution of client request rates and heterogeneity of Web servers to adaptively set the time-to-live (TTL) value for each address mapping request. Extensive simulation results show that these strategies are robust and effective in balancing load among geographically distributed heterogeneous Web servers.
Load sharing, Scheduling, Performance, Distributed system, Web support
Michele Colajanni, Valeria Cardellini, Philip S. Yu, "Dynamic Load Balancing in Geographically Distributed Heterogeneous Web Servers", ICDCS, 1998, 2013 IEEE 33rd International Conference on Distributed Computing Systems, 2013 IEEE 33rd International Conference on Distributed Computing Systems 1998, pp. 295, doi:10.1109/ICDCS.1998.679729