Intra and Interdomain Circuit Provisioning Using the OSCARS Reservation System

Guok, Chin; Robertson, David W.; Thompson, Megan M.; Lee, Jason R.; Tierney, Brian; Johnston, William

doi:10.1109/broadnets.2006.4374316

Cited by 100 publications

(45 citation statements)

References 13 publications

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“…Common APIs such as OSCARS [10] are also emerging for transport network circuit services. Providers may deploy these and other systems independently; once a system is deployed we can install a front-end orchestration service (AM) to link it into the federation without interfering with its other functions and users.…”

Section: A Testbed Of Federated Iaas Providersmentioning

confidence: 99%

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

Baldin

Xin

Mandal

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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NSF's GENI program seeks to enable experiments that run within virtual network topologies built-toorder 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-asa-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.The ExoGENI deployment consists of cloud site "racks" on host campuses within the US, linked with national research networks and other circuit networks through programmable exchange points. The ExoGENI sites and control software are enabled for software-defined networking using OpenFlow. ExoGENI offers a powerful unified hosting platform for deeply networked, multi-domain, multi-site cloud applications. We intend that ExoGENI will seed a larger, evolving platform linking other third-party cloud sites, transport networks, and other infrastructure services, and that it will enable real-world deployment of innovative distributed services and new visions of a Future Internet.

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Section: A Testbed Of Federated Iaas Providersmentioning

confidence: 99%

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

Baldin

Xin

Mandal

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…The FDT tool integrates InterDomain Controller Protocol (IDCP) On-Demand Secure Circuits and Advance Reservation System (OSCARS [11]) calls so integrating it in PhEDEx naturally gives us Bandwidth on Demand capabilities. In addition to this, FDT performs extremely well as a transfer tool in itself, as we will show in this paper.…”

Section: Integrating Fdt Into Phedexmentioning

confidence: 99%

Integrating network-awareness and network-management into PhEDEx: first results from the ANSE project

Lapadatescu¹,

Wildish²,

Barczyk³

et al. 2014

Proceedings of International Symposium on Grids and Clouds (ISGC) 2014 — PoS(ISGC2014)

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ANSE Collaboration †PhEDEx is the data placement and management tool for the CMS experiment at the LHC. It controls the large-scale data-flows on the WAN across the experiment, typically handling 1 PB of data per week. While robust, its architecture is now ten years old and has yet to fully adapt to today's production environment, an environment in which the network is the fastest and most reliable component. The ANSE (Advanced Network Services for Experiments) project, in the context of CMS, aims to greatly improve PhEDEx' network awareness for smart source selection, as well as to integrate bandwidth provisioning capabilities in the data transfer management. Both parts require a good knowledge of the network status, topology and of course, access to useful and up-to-date performance metrics. One of the first steps towards this goal involved the identification of a mechanism for informing PhEDEx about independent network performance metrics. Methods for providing these metrics have been prototyped and verified in a LAN testbed using fake data transfer requests. This mechanism is already directly usable by CMS in their production environment. Currently, the ANSE-PhEDEx testbed is spread over many servers at a number of sites. It is composed of several machines dedicated to PhEDEx site agents, one server holding the PhEDEx central agents, a central database and one server which contains the PhEDEx website and dataservice. Some of the site nodes have additional attached storage nodes. In this paper, we present the work that has been done in ANSE for PhEDEx. This includes performance measurements using the Fast Data Transfer (FDT) tool and the extension of the PhEDEx agent that downloads files to a site to allow it to control the network via creation and use of dynamic circuits. We present the results of our tests using these new features, on highspeed WAN circuits ranging from a few Gbps to 40Gbps and detail the development done within PhEDEx itself. Finally, the paper will also describe the future plans for the project.

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“…Nowadays, the most widely used bandwidth reservation service within the global research and networking community is provided by ESnet, where the OSCARS software is deployed with multi-domain, high-bandwidth virtual circuits. By using OSCARS, ESnet provides interoperable, effective, reliable, and high performance network communications infrastructure, and certain collaboration services [19][20][21][22][23]. Currently, more than 40 DOE research sites, including the entire National Laboratory system, together with its supercomputing facilities, the major scientific instruments and another 140 research and commercial networks around the world are using ESnet to transfer scientific data and collaborate [20,21].…”

Section: Performance Evaluationmentioning

confidence: 99%

Fast and Efficient Bandwidth Reservation Algorithms for Dynamic Network Provisioning

Zuo

Zhu

2013

J Netw Syst Manage

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Large-scale collaborative e-science requires fast and reliable data transfer with guaranteed performance, which is made possible by reserving bandwidth as needed in advance in high-performance networks. In scientific applications, users typically know the data size, the data available time, and the deadline to finish the data transfer, and they always wish to achieve the earliest possible finish time or the minimum time duration for the data transfer. On the other hand, the network service provider wishes to serve as many users' bandwidth reservation requests (BRRs) as possible to maximize the network resource utilization without compromising their deadlines. Such multi-objective requirements and high system throughput call for a fast and efficient bandwidth reservation strategy that can quickly discover various reservation options in a time-varying network environment. We propose two bandwidth reservation algorithms with rigorous optimality proofs to compute the reservation options with the earliest completion time and with the shortest duration for a local BRR. Our algorithms aim to achieve the balanced resource utilization for the network system. Extensive simulation results demonstrate the superiority of the proposed algorithms in terms of execution time, success ratio, success ratio of BRRs with different priorities and searched complexity of BRRs in comparison with similar scheduling algorithms.

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Intra and Interdomain Circuit Provisioning Using the OSCARS Reservation System

Cited by 100 publications

References 13 publications

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

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

Integrating network-awareness and network-management into PhEDEx: first results from the ANSE project

Fast and Efficient Bandwidth Reservation Algorithms for Dynamic Network Provisioning

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