Testbed

About: Testbed is a research topic. Over the lifetime, 10858 publications have been published within this topic receiving 147147 citations. The topic is also known as: test bed.

Real-time geographic visualization of World Wide Web traffic

Abstract: The rapid growth of the World Wide Web (WWW) is well documented, with WWW sites now advertised in magazines, newspapers, and television commercials. Given current use of the WWW for scientific and educational information sharing and its emerging use for electronic commerce, studying access patterns is an important first step in understanding network implications and in designing future generations of WWW servers that can accommodate new media types and interaction modes. Due in large part to early development of the Mosaic WWW browser by the National Center for Supercomputing Applications (NCSA), the access load on the NCSA WWW server remains extremely high. Using the NCSA WWW server as a high load testbed, we describe Avatar , a virtual reality system for real-time analysis and mapping of WWW server accesses to their point of geographic origin on various projections of the Earth. As HTTP protocols expand to demographic data, the Avatar architecture can be extended to correlate this data as well.

ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed

Abstract: NSF’s GENI program seeks to enable experiments that run within virtual network topologies built-to-order from testbed infrastructure offered by multiple providers (domains). GENI is often viewed as a network testbed integration effort, but behind it is an ambitious vision for multi-domain infrastructure-as-a-service (IaaS). This paper presents ExoGENI, a new GENI testbed that links GENI to two advances in virtual infrastructure services outside of GENI: open cloud computing (OpenStack) and dynamic circuit fabrics. ExoGENI orchestrates a federation of independent cloud sites and circuit providers through their native IaaS interfaces, and links them to other GENI tools and resources.

Mitigating interference in cloud services by middleware reconfiguration

Abstract: Application performance has been and remains one of top five concerns since the inception of cloud computing. A primary determinant of application performance is multi-tenancy or sharing of hardware resources in clouds. While some hardware resources can be partitioned well among VMs (such as CPUs), many others cannot (such as memory bandwidth). In this paper, we focus on understanding the variability in application performance on a cloud and explore ways for an end customer to deal with it. Based on rigorous experiments using CloudSuite, a popular Web2.0 benchmark, running on EC2, we found that interference-induced performance degradation is a reality. On a private cloud testbed, we also observed that interference impacts the choice of best configuration values for applications and middleware. We posit that intelligent reconfiguration of application parameters presents a way for an end customer to reduce the impact of interference. However, tuning the application to deal with interference is challenging because of two fundamental reasons --- the configuration depends on the nature and degree of interference and there are inter-parameter dependencies. We design and implement the IC2 system (Interference-aware Cloud application Configuration) to address the challenges of detection and mitigation of performance interference in clouds. Compared to an interference-agnostic configuration, the proposed solution provides up to 29% and 40% improvement in average response time on EC2 and a private cloud testbed respectively.

Accurately Measuring Denial of Service in Simulation and Testbed Experiments

Abstract: Researchers in the denial-of-service (DoS) field lack accurate, quantitative, and versatile metrics to measure service denial in simulation and testbed experiments. Without such metrics, it is impossible to measure severity of various attacks, quantify success of proposed defenses, and compare their performance. Existing DoS metrics equate service denial with slow communication, low throughput, high resource utilization, and high loss rate. These metrics are not versatile because they fail to monitor all traffic parameters that signal service degradation. They are not quantitative because they fail to specify exact ranges of parameter values that correspond to good or poor service quality. Finally, they are not accurate since they were not proven to correspond to human perception of service denial. We propose several DoS impact metrics that measure the quality of service experienced by users during an attack. Our metrics are quantitative: they map QoS requirements for several applications into measurable traffic parameters with acceptable, scientifically determined thresholds. They are versatile: they apply to a wide range of attack scenarios, which we demonstrate via testbed experiments and simulations. We also prove metrics' accuracy through testing with human users.

System M: a transaction processing testbed for memory resident data

Abstract: System M is an experimental transaction processing testbed that runs on top of the Mach operating system. Its database is stored in primary memory. The structure and algorithms used in System M are described. The checkpointer is the component that periodically sweeps memory and propagates updates to a backup database copy on disk. Several different checkpointing (and logging) algorithms were implemented, and their performance was experimentally evaluated. >