No abstract

Researchers and educators in computer science and other domains are increasingly turning to distributed test beds that offer access to a variety of resources, including networking, computation, storage, sensing, and actuation. The provisioning of resources from their owners to interested experimenters requires establishing sufficient mutual trust between these parties. Building such trust directly between researchers and resource owners will not scale as the number of experimenters and resource owners grows. The NSF GENI (Global Environment for Network Innovation) project has focused on establishing scalable mechanisms for maintaining such trust based on common approaches for authentication, authorization and accountability. Such trust reflects the actual trust relationships and agreements among humans or real-world organizations. We describe here GENI's approaches for federated trust based on mutually trusted authorities, and implemented via cryptographically signed credentials and shared policies.

Network traffic workloads are widely utilized in applied research to verify correctness and to measure the impact of novel algorithms, protocols, and network functions. We provide a comprehensive survey of traffic generators referenced by researchers over the last 13 years, providing in-depth classification of the functional behaviors of the most frequently cited generators. These classifications are then used as a critical component of a methodology presented to aid in the selection of generators derived from the workload requirements of future research.

No abstract

No abstract