Reliability is crucial for high speed backbone networks. Protection mechanisms are therefore critical in the design of infrastructure networks. This paper investigates a new multipath provisioning model with availability-guarantee on networks where events of up to two simultaneous link failures can occur. A service level agreement (SLA) which mandates service availability must be met even during network failure situations. We present a mathematical formulation to perform optimal capacity allocation in both GMPLS Self-protecting Multi-path (SPM) environment and SONET/SDH networks. Linear Programming (LP) and Integer Linear Programming (ILP) models are formulated in this study to provide multi-path protection mechanisms on MPLS and SONET/SDH networks. Network Service Providers (NSP) could use this mathematical model to design a network with certain availability requirement according to a priori defined SLAs to accommodate network traffic under dual link failure scenarios.
Rising costs in healthcare, increased global competitions and rapid advances in networking and telecommunications promise to close the gaps between digital enterprising technologies and healthcare services delivery. Yet, end-to-end performance depends on applications, servers, and network relationships that are not always obvious. The research presented in this paper examines the requirements of E-health applications from a telecommunication point of view by studying end-to-end network performance within and between three hospitals in the CentralWest region of Ontario. First, a definition of traffic profiles and applications is established. Then, hospitals LANs are configured and simulated to support nominal and peak traffic loads.
The design of dynamic Label-Switched Paths (LSP's) in MultiProtocol Label Switched (MPLS) networks is an NP-hard optimization problem. An LSP is a logical path between two nodes in the network. This path has a pre-reserved amount of bandwidth that defines its size. The LSP design problem consists of determining the number of these logical links and configuring the physical path and the size of each LSP. This paper presents an optimization model based on game theory. In this approach, connection requests are modeled as competitive players in a noncooperative game context. The transport network bandwidth constitutes the resource for which optimization is sought. The outcome of this optimization is a set of LSPs upon which the competing connections are routed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.