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The Great Plains Environment for Network Innovation – GpENI is an international programmable network testbed centered on a regional optical network in the Midwest US, providing flexible infrastructure across the entire protocol stack. The goal of GpENI is to build a collaborative research infrastructure enabling the community to conduct experiments in future Internet architecture. GpENI is funded in part by the US National Science Foundation GENI (Global Environments for Network Innovation) program and by the EU FIRE (Future Internet Research and Experimentation) Programme, and is affiliated with a project funded by the NSF FIND (Future Internet Design) Program. [ABSTRACT FROM AUTHOR]

Currently, a number of research activities worldwide focus on resource federations to enable remote resource access and the setup of large scale experiments. With the global efforts in sharing experimental facility resources across organizational boundaries, interoperability issues are becoming increasingly important. To this end, this paper describes a model that defines the necessary entities for inter resource federation scenarios. The model is then discussed by means of a concrete use case federating Panlab and PlanetLab resources. In this respect Panlab and PlanetLab are considered to be federations themselves. Our findings show that the two approaches can be matched following the general model. This allows for federating resources not only across the boundaries of administrative (organizational) domains but even across the boundaries of federations. Those federations in themselves provide collections of resources offered by several administrative domains and use different control frameworks to enable resource access and management. [ABSTRACT FROM AUTHOR]

Distributed hash tables (DHTs) have been adopted as a building block for large-scale distributed systems. The upshot of this success is that their robust operation is even more important as mission-critical applications begin to be layered on them. Even though DHTs can detect and heal around unresponsive hosts and disconnected links, several hidden faults and performance bottlenecks go undetected, resulting in unanswered queries and delayed responses. In this paper, we propose dFault, a system that helps large-scale DHTs to localize such faults. Informed with a log of failed queries called symptoms and some available information about the hosts in the DHT, dFault identifies the potential root causes (hosts and overlay links) that with high likelihood contributed towards those symptoms. Its design is based on the recently proposed dependency graph modeling and inference approach for fault localization. We describe the design of dFault, and show that it can accurately localize the root causes of faults with modest amount of information collected from individual nodes using a real prototype deployed over PlanetLab. [ABSTRACT FROM AUTHOR]

˵Tell me and I forget, Show me and I remember, Involve me and I understand″. This paper discusses the motivation for, and design of, a learning resource which allows students to explore the Transmission Control Protocol (TCP). TCP is responsible for transporting over 80% of the traffic on the Internet – all web and e-mail for example – and in addition is the primary means of achieving Internet congestion control. TCP is therefore core to modern life. It is a protocol under constant study with a view to evolution, and it is incumbent on all ICT curricula to provide education at appropriate levels about its dynamics, strengths and weaknesses. There are no shortages of good textbooks which provide information on TCP, but these are no substitute for experiential learning in order to provide a lasting understanding. The TCP Live learning resource allows students to explore the behavior of TCP on the global Internet, and see the wide variety of conditions that the protocol has to cope with, thereby extending their viewpoint outwith the limited scope of their own institutional firewalls. [ABSTRACT FROM AUTHOR]

˵Cloud Computing″ offers many potential benefits, including cost savings, the ability to deploy applications and services quickly, and the ease of scaling those application and services once they are deployed. A key barrier for enterprise adoption is the confidentiality of data stored on Cloud Computing Infrastructure. Our simple technique implemented with Open Source software solves this problem by using public key encryption to render stored data at rest unreadable by unauthorized personnel, including system administrators of the cloud computing service on which the data is stored. We validate our approach on a network measurement system implemented on PlanetLab. We then use it on a service where confidentiality is critical – a scanning application that validates external firewall implementations. [ABSTRACT FROM AUTHOR]