Changes between Version 2 and Version 3 of GENIExperimenter/GENIWebinars/DeployingNetworkAwareApplicationsInGENI
- Timestamp:
- 06/10/16 10:03:32 (8 years ago)
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GENIExperimenter/GENIWebinars/DeployingNetworkAwareApplicationsInGENI
v2 v3 8 8 === Abstract === 9 9 10 We will discuss the requirements and design of a “Future Internet Performance Architecture” (FIPA), and present a hands-on demo that shows how to use our a reference implementation of FIPA that we developed called ‘ OnTimeMeasure’. OnTimeMeasure comprises of several measurementrelated services that can interact with each other to enable performance intelligence within applications. We will show how OnTimeMeasure can be deployed in the Global Environment for Network Innovations (GENI) infrastructure, and integrated within an application-adaptation scenario. We will present a case study example in GENI that usesOnTimeMeasure-enabled performance intelligence in the context of dynamic resource allocation within thin-client based virtual desktop clouds. We show how a virtual desktop cloud provider can use the performance intelligence within a GENI slice to increase cloud scalability, while simultaneously delivering satisfactory user quality-of-experience.10 We will discuss the requirements and design of a “Future Internet Performance Architecture” (FIPA), and present a hands-on demo that shows how to use our a reference implementation of FIPA that we developed called ‘!OnTimeMeasure’. !OnTimeMeasure comprises of several measurement related services that can interact with each other to enable performance intelligence within applications. We will show how !OnTimeMeasure can be deployed in the Global Environment for Network Innovations (GENI) infrastructure, and integrated within an application-adaptation scenario. We will present a case study example in GENI that uses !OnTimeMeasure-enabled performance intelligence in the context of dynamic resource allocation within thin-client based virtual desktop clouds. We show how a virtual desktop cloud provider can use the performance intelligence within a GENI slice to increase cloud scalability, while simultaneously delivering satisfactory user quality-of-experience. 11 11 12 12