arXiv (Cornell University) · 2017 · 19 citations · 10 references
ComputingCloud ComputingComputer SystemsCloud ArchitectureCloud InfrastructureEdge ComputingEdge ArchitectureEdge Computing InfrastructureEdge InfrastructureEdge-cloud ArchitectureEdge-cloud IntegrationTask OffloadingApplication LatencyCloud Computing ArchitecturesCloud-edge CollaborationCloud-edge OffloadingEdge Computing ArchitecturesEdge Computing NetworksEdge-cloud CollaborationEdge-to-cloud Integration
We present an Edge-as-a-Service (EaaS) platform for realising distributed cloud architectures and integrating the edge of the network in the computing ecosystem. The EaaS platform is underpinned by (i) a lightweight discovery protocol that identifies edge nodes and make them publicly accessible in a computing environment, and (ii) a scalable resource provisioning mechanism for offloading workloads from the cloud on to the edge for servicing multiple user requests. We validate the feasibility of EaaS on an online game use-case to highlight the improvement in the QoS of the application hosted on our cloud-edge platform. On this platform we demonstrate (i) low overheads of less than 6%, (ii) reduced data traffic to the cloud by up to 95% and (iii) minimised application latency between 40%-60%.
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