GENI is evolving to provide a promising environment in which to do experimental research in the resilience and survivability of future networks, by allowing programmable control over topology and mechanism, while providing the scale and global reach needed to conduct network experiments far beyond the capabilities of a conventional testbed. We will use GENI in general, and the GpENI infrastruct...

In this work we consider the design principles of the Instance-Based Network (IBN), an extended version of a generic Content-Based Network(CBN). IBN acts as an overlay communication platform over which end-point entities, called contents, communicate independently from their physical locations while providing the flexibility of having different instances of the same content. The semantics of di...

We propose a GENI experiment to study the effectiveness of adjusting the caching policy on video streaming content distribution networks based on user behavior and location information derived from social networks. We plan to conduct a massive-scale experiment on GENI to study the feasibility of our approach using simulated, emulated and physical network entities. We also plan to conduct a long...

This whitepaper outlines an experimental network architecture that we propose to implement and deploy on resources made available by the emerging GENI infrastructure [7]. Our approach touches on the areas of network middleware, session layer protocol design, and intelligent data movement over heterogeneous networks with the overall goal of improving network throughput for participating systems....

In this paper we describe an advanced hardwarein-loop simulation facility for real-time demonstration and validation of power system monitoring and control algorithms, recently constructed at NC State University. This facility integrates a real-time power system emulation lab with the GENI network and its associated cloud testbeds. The dynamic responses from the power system emulator are captur...

Network monitoring capabilities are critical for both network operators and networked applications. In the context of an experimental test facility, network measurement is important for researchers experimenting with new network architectures and applications, as well as operators of the test facility itself. The Global Environment for Network Innovations (GENI) is a sophisticated test facility...

This paper details a framework that leverages Software Defined Networking (SDN) features to provide a testbed for evaluating handovers for IPv4 heterogeneous wireless networks. The framework is intended to be an extension to the Global Environment for Network Innovations (GENI) testbed, but the essence of the framework can be applied on any OpenFlow (OF) enabled network. Our goal is to enable r...

Note to the reader: this document is a work in progress and continues to evolve rapidly. Certain aspects of the GENI architecture are not yet addressed at all, and, for those aspects that are addressed here, a number of unresolved issues are identified in the text. Further, due to the active development and editing process, some portions of the document may be logically inconsistent with others.

The Global Environment for Network Innovations (GENI) is an NSF-funded, BBN-operated testbed designed to support experimental research in network science and engineering. The goals for GENI are vast: they seek to “understand networks broadly and at multiple layers of abstraction from the physical substrates through the architecture and protocols to networks of people, organizations, and societi...

Gastric trichobezoar: about a case Maryame Ezziti, Fouad Haddad, Mohamed Tahiri, Wafaa Hliwa, Ahmed Bellabah, Wafaa Badre, Rabii Haddouch, Khalid El Hattbi, Mohamed Rachid Elfriyekh, Abdelaziz Fadil Service de Gastroentérologie, CHU Ibn Rochd, Casablanca, Maroc, Service de Chirurgie Viscérale, CHU Ibn Rochd, Casablanca, Maroc Corresponding author: Maryame Ezziti, Service de Gastroentérologie, C...