2019 · 43 citations · 43 references
ComputingComputer ScienceComputer SystemsComputer NetworksDistributed SystemsQueuing TheoryCommunication NetworksContent Delivery NetworksDistributed Systems PerformanceWeb Performance OptimizationWebsite Traffic AnalysisEnd-user ExperienceNetwork CapacityNetwork Capacity AllocationNetwork Capacity AnalysisNetwork Traffic EngineeringScalability OptimizationScalable Network ServicesScalable Traffic Management
Large content providers, known as hyper-giants, are responsible for sending the majority of the content traffic to consumers. These hyper-giants operate highly distributed infrastructures to cope with the ever-increasing demand for online content. To achieve commercial-grade performance of Web applications, enhanced end-user experience, improved reliability, and scaled network capacity, hyper-giants are increasingly interconnecting with eyeball networks at multiple locations. This poses new challenges for both (1) the eyeball networks having to perform complex inbound traffic engineering, and (2) hyper-giants having to map end-user requests to appropriate servers.
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