Use of partial flood series for estimating distribution of maximum annual flood peak

October 1978.Bibliography: pages 68-69

CAMERA: A Community Resource for Metagenomics

The CAMERA (Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis) community database for metagenomic data deposition is an important first step in developing methods for monitoring microbial communities

Evaluating Network Information Models on Resource Efficiency and Application Performance in Lambda-Grids

A critical challenge for wide-area configurable networks is definition and widespread acceptance of Network Information Model (NIM). When a network comprises multiple domains, intelligent information sharing is required for a provider to maintain a competitive advantage and for customers to use a provider’s network and make good resource selection decisions. We characterize the information that can be shared between domains and propose a spectrum of network information models. To evaluate the impact of the proposed models, we use a tracedriven simulation under a range of real providers ’ networks and assess how the available information affects applications ’ and providers ’ ability to utilize network resources. We find that domain topology information is crucial for achieving good resource efficiency, low application latency and network configuration cost, while domain link state information contributes to better resource utilization and system throughput. These results suggest that collaboration between service providers can provide better overall network productivity

Coordinated resource management for guaranteed high performance and efficient utilization in Lambda-Grids

Emerging configurable optical networks and Grid computing create intriguing opportunities for new application capabilities and resource efficiencies. Applications can exploit dedicated, high-speed optical circuits to tightly interconnect remote resources on-demand, and achieve high quality of service. However, they must contend with the complexity of highly distributed and heterogeneous resource environments. In addition, network configurability presents unique challenges, adding the complexity of planning configurations to that of traditional end resource management. To enable efficient and simple development of high performance applications, this dissertation proposes the Distributed Virtual Computer (DVC), a novel integrated architecture for managing configurable networks and wide-area resource sharing. The DVC allows an application to describe and acquire a combined set of communication and end resources, and then automatically manages them for guaranteed, high performance. Such an integrated approach enables coordinated resource management improving both application capabilities and resource efficiencies. In this framework, a key challenge is selecting appropriate sets of resources for individual applications. We formulate the selection problem, explore several approaches, and evaluate each via simulation. Best performance is achieved by techniques that combine the selection of communication and end resources. Such approaches produce high-quality solutions both for application performance and for network efficiency, and scale well for large resource environments. This enables an online service where applications can request and acquire high-quality resources quickly on-demand. In a multi-domain network, a critical tension exists between service providers who are business competitors. As a result, controlled information sharing is required that balances their competitive positions and enables efficient resource selection. We characterize the network information that could be shared between providers and assess how individual information affects applications and service providers. Our results suggest providers should share their internal information as it can improve their resource efficiencies and application performance. We implement a DVC system software prototype and present experimental results with real scientific applications and optical networks. We demonstrate our prototype enables the simple configuration of collaborative data visualization environments that can be flexibly run on different physical resource configurations. Additionally, the applications are able to exploit dedicated optical circuits on-demand and efficiently utilize the network capacit

Distributed Virtual Computer (DVC): Simplifying the Development of High Performance Grid Applications

Distributed Virtual Computer (DVC) is a computing environment which simplifies the development and execution of distributed applications on computational grids. DVC provides a simple set of abstractions to simplify application management of naming, security, communication, and resource, easing use of highly dynamic and heterogeneous resource environments. These abstractions enable complex collections of grid resources to be used in a fashion similar to private user or workgroup resources. The DVC model is attractive for lambda-grids with circuitswitched optical networks, providing a structure for exploiting unique communication and security properties. Examples of DVC’s include virtual clusters and virtual heterogeneous resource collections. We introduce the concept of a DVC, its system structure and mechanisms. We discuss the potential benefits of DVC’s for application programmers. 1

OptIPuter System Software Framework

We describe a shared perspective and assumptions looking up and down the OptIPuter system software stack. The discussion clearly defines and justifies the assumptions and model for each perspective, starting with the network hardware architecture, the integrating model of distributed virtual computers and the supporting technologies of group transport protocol, multi-endpoint communication, and shared lambda-grid storage.Pre-2018 CSE ID: CS2004-078