V. Grigaliunas

Bio: V. Grigaliunas is an academic researcher from Fermilab. The author has contributed to research in topics: Middleware & Local area network. The author has an hindex of 2, co-authored 2 publications receiving 16 citations.

Lambda Station: On-Demand Flow Based Routing for Data Intensive Grid Applications Over Multitopology Networks

Abstract: Lambda Station is an ongoing project of Fermi National Accelerator Laboratory and the California Institute of Technology. The goal of this project is to design, develop and deploy network services for path selection, admission control and flow based forwarding of traffic among data- intensive Grid applications such as are used in High Energy Physics and other communities. Lambda Station deals with the last-mile problem in local area networks, connecting production clusters through a rich array of wide area networks. Selective forwarding of traffic is controlled dynamically at the demand of applications. This paper introduces the motivation of this project, design principles and current status. Integration of Lambda Station client API with the essential Grid middleware such as the dCache/SRM Storage Resource Manager is also described. Finally, the results of applying Lambda Station services to development and production clusters at Fermilab and Caltech over, advanced networks such as DOE's UltraScience Net and NSF's UltraLight is covered.

Status and Trends in Networking at LHC Tier1 Facilities

Abstract: The LHC is entering its fourth year of production operation. Most Tier1 facilities have been in operation for almost a decade, when development and ramp-up efforts are included. LHC's distributed computing model is based on the availability of high capacity, high performance network facilities for both the WAN and LAN data movement, particularly within the Tier1 centers. As a result, the Tier1 centers tend to be on the leading edge of data center networking technology. In this paper, we analyze past and current developments in Tier1 LAN networking, as well as extrapolating where we anticipate networking technology is heading. Our analysis will include examination into the following areas: • Evolution of Tier1 centers to their current state • Evolving data center networking models and how they apply to Tier1 centers • Impact of emerging network technologies (e.g. 10GE-connected hosts, 40GE/100GE links, IPv6) on Tier1 centers • Trends in WAN data movement and emergence of software-defined WAN network capabilities • Network virtualization

A User Driven Dynamic Circuit Network Implementation

Abstract: The requirements for network predictability are becoming increasingly critical to the DOE science community where resources are widely distributed and collaborations are world-wide. To accommodate these emerging requirements, the energy sciences network has established a science data network to provide user driven guaranteed bandwidth allocations. In this paper we outline the design, implementation, and secure coordinated use of such a network, as well as some lessons learned.

Exploiting Network Parallelism for Improving Data Transfer Performance

Abstract: Many scientific applications, including bulk data transfer, can achieve significantly higher performance from vir- tually loss-free dedicated resources provisioned on shared links, than from opportunistic network use. Research and Education (RaE) backbones, including the Energy Sciences Network and Internet2, provide general-purpose services to allocate dedi- cated bandwidth. However, in order to fully take advantage of this technology, applications need to move from coarse-grained "reservation" strategies, to more sophisticated control based on software defined networking (SDN) with technologies such as OpenFlow. We propose here, as one practical step in this direction, using multiple paths for the same application transfer session. This can add bandwidth from "best effort" and dedicated networks, and can also facilitate performance with applications using multiple 10G NICs over 100G capable paths.

The eXtensible Session Protocol: A Protocol for Future Internet Architectures

Abstract: Managing modern heterogeneous network technologies in a simple, uniform manner has become an increasingly difficult challenge. To help address this issue, we propose a session layer protocol called the eXtensible Session Protocol (XSP) designed to integrate existing network systems, providing the ability to easily introduce additional protocol functionality as needed, including applicationdriven network allocation and integration with network “middleboxes.” The XSP implementation is currently targeted at network middleware architectures where it allows for the transparent integration and configuration of new and existing network components and services