RIA: Resource Allocation in Multiple Service, Multiple Resource Communication Networks

本研究的目的是在使用共享资源提供多种服务的通信网络中，制定资源分配、控制和定价策略。随着网络继续整合各种业务，预计这些问题将变得更加严重。首席研究员正在对这样一个多服务、多资源系统进行建模，分析通过控制服务请求和服务定价来管理系统的策略，并设计一组算法来指定这些策略。研究的开始部分使用了现有的马尔可夫链理论；后一部分取材于更丰富的随机过程领域。这项工作特别揭示了管理通信网络的问题和策略，并有助于对任何多服务、多资源系统进行建模和分析。该研究将通过所产生的控制和定价规则的信息内容以及所产生的算法的复杂性来评估。

The objective of this research is to formulate strategies for resource allocation, control and pricing in communication networks that offer multiple services using shared resources. It is expected that these problems will become significant as networks continue to integrate diversified services. The Principal Investigator is modeling such a multiple service, multiple resource system, analyzing strategies for managing the system through control of service requests and pricing of services, and designing a set of algorithms to specify these strategies. The initial part of the research uses existing theories of Markov chains; the latter part draws from a richer domain of stochastic processes. The effort exposes issues and strategies for managing communication networks in particular, and contributes to modeling and analysis of any multiple service, multiple resource system in general. The research will be evaluated by the information content of the resulting control and pricing rules and by the complexity of the resulting algorithms.