The Internet is rapidly nearing IPv4 address space exhaustion. Current projections predict that within the next two years, all IPv4 address blocks will have been assigned. IPv6 adoption on the other hand has not ramped up as rapidly. As we transition from an Internet built on an abundance of IP addresses to one of scarcity, innovative techniques that allow us to do more with less are likely to ...

Low Earth Orbit (LEO) satellite networks are foreseen to complement terrestrial networks in future global mobile networks. Although space segment topology of a LEO network is characterized by periodic variations, connections of mobile stations (MS’s) to the satellite backbone network alter stochastically. As a result the quality of service delivered to users may degrade. Different procedures ha...

Compared to kernel-level servers, user-level ones can be debugged and maintained more easily and safely, but traditionally have had much worse performance. We describe a novel Z/O-oriented IPC facility that combines the emulated copy data passing scheme for monolithic systems with new copy avoidance techniques for microkernel systems. Unlike previous optimizations, I/O-oriented IPC does not req...

The Internet is rapidly nearing IPv4 address space exhaustion. Current projections predict that within the next two years, all IPv4 address blocks will have been assigned. IPv6 adoption on the other hand has been slower than anticipated. It is becoming increasingly clear that there will be an extended period of during which both protocols will coexist as services and applications are slowly mig...

NASA Goddard has used its Integrated Mission Design Center (IMDC) to perform more than 150 mission concept studies. The IMDC performs rapid development of highlevel, end-to-end mission concepts, typically in just 4 days. The approach to the studies varies, depending on whether the proposed mission is near-future using existing technology, mid-future using new technology being actively developed...

Finding visual correspondence between local features is key to many computer vision problems. While defining features with larger contextual scales usually implies greater discriminativeness, it could also lead to less spatial accuracy of the features. We propose AutoScaler, a scale-attention network to explicitly optimize this trade-off in visual correspondence tasks. Our architecture consists...