The Open Network Laboratory (a resource for high performance networking research)

The Open Network Laboratory (ONL) is a remotely accessible network testbed designed to enable network researchers to conduct experiments using high performance routers and applications. ONL™s Remote Laboratory Interface (RLI) allows users to easily configure a network topology, initialize and modify the routers™ routing tables, packet classification tables and queuing parameters. It also enables users to add software plugins to the embedded processors available at each of the routers™ ports, enabling the introduction of new functionality. The routers provide a large number of built-in counters to track various aspects of system usage, and the RLI software makes these available through easy-to-use real-time charts. This allows researchers to expose what is happening fiunder the surfacefl enabling them to develop the insights needed to understand system behavior in complex situations and to deliver compelling demonstrations of their ideas in a realistic operating environment. This paper provides an overview of ONL, emphasizing how it can be used to carry out a wide range of networking experiments

Design of an Extensible Network Testbed with Heterogeneous Components

Virtualized network infrastructures are currently deployed in both research and commercial contexts. The complexity of the virtualization layer varies greatly in different deployments, ranging from cloud computing environments, to carrier Ethernet applications using stacked VLANs, to networking testbeds. In all of these cases, there are many users sharing the resources of one provider, where each user expects their resources to be isolated from all other users. Our work in this area is focused on network testbeds. In particular, we present the design of the latest version of the Open Network Laboratory (ONL) testbed. This redesign generalizes the underlying infrastructure to support resource extensibility and heterogeneity at a fundamental level. New types of resources (e.g., multicore PCs, FPGAs, network processors, etc) can be added to the testbed without modifying any testbed infrastructure software. Resource types can also be extended to support multiple distinct sets of functionality (e.g., an FPGA might act as a router, a switch, or a traffic generator). Moreover, users can dynamically add new resource extensions without any modification to the existing infrastructure

Decoupling Information and Connectivity in Information-Centric Networking

This paper introduces and demonstrates the concept of Information-Centric Transport as a mechanism for cleanly decoupling the information plane from the connectivity plane in Information-Centric Networking (ICN) architectures, such as NDN and CICN. These are coupled in today\u27s incarnations of NDN and CICN through the use of forwarding strategy, which is the architectural component for deciding how to forward packets in the presence of either multiple next-hop options or dynamic feedback. As presently designed, forwarding strategy is not sustainable: application developers can only confidently specify strategy if they understand connectivity details, while network node operators can only confidently assign strategies if they understand application expectations. We show how Information-Centric Transport allows applications to operate on the information plane, concerned only with the namespace and identities relevant to the application, leaving network node operators free to implement ICT services in whatever way makes sense for the connectivity that they manage. To illustrate ICT, we introduce sync*, a synchronization service, and show how a) its use enables applications to operate well regardless of connectivity details and b) its implementation can be completely managed by network operators with no knowledge of application details

Vaudeville: A High Performance, Voice-Activated Teleconferencing Application

We present a voice-activated, hands-off, ATM-based video conferencing application. The application, called Vaudeville, features high quality NTSC video, voice-activated audio transmission, audio bridging of two audio streams, and voice-activated video switching. It supports multiple simultaneous multi-party conferences using a scalable multicast mechanism. We describe how Vaudeville was built using a component-based distributed programming environment. We also describe the algorithms used to contorl the audio and video of the applciation. Audio and video are encoded in hardware using an ATM hardware multimedia interface

Implementation of an Open Multi-Service Router

This paper describes the design, implementation, and performance of an open, high-performance, dynamically reconfigurable Multi-Service Router (MSR) being developed at Washington University in St. Louis. This router provides an experimentation platform for research on protocols, router software, and hardware design, network management, quality of service and advanced applications. The MSR has been designed to be flexible, without sacrificing performance. It support gigabit links and uses a scalable architecture suitable for supporting hundreds or even thousands of links. The MSR\u27s flexibility makes it an ideal platform for experimental research on dynamically extensible networks that implement higher level functions in direct support of individual application sessions

On-line Scheduling with Hard Deadlines

We study non-preemptive, online admission control in the hard deadline model: each job must be either serviced prior to its deadline, or be rejected. Our setting consists of a single resource that services an online sequence of jobs; each job has a length indicating the length of time for which it needs the resource, and a delay indicating the maximum time it can wait for the service to be started. The goal is to maximize total resource utilization. The jobs are non-preemptive and exclusive, meaning once a job begins, it runs to completion, and at most one job can use the resource at any time. We obtain a series of results, under varying assumptions of job lengths and delays, which are summarized in the following table. An earlier version appears in Proceedings of the Workshop on Algorithms and Data Structures, pages 258--271, August 1997. y Supported in part by NSF Grant CCR-9110108 and NSF National Young Investigator grant CCR9357707 with matching funds provided by Xerox PARC a..