Network Flow Bandwidth Requirements

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Network Flow Bandwidth Requirements
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UK GRID Networking Research Projects
GRS, GRID resource management

GRID Infrastructure
FutureGRID, P2P architecture
Service Infrastructure
GridMcast, Multicast-enabled data distribution
Network Infrastructure
MB-NG, QoS Features
GRIDprobe, backbone passive monitoring at 10Gbps
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MB-NG (Managed Bandwidth Next Generation)

• Objectives
• To demonstrate managed bandwidth and QoS services
  in a Grid environment (over MPLS)
• To demonstrate sustained gigabit/s scale data
  transport across the wide area network (over
  MPLS)
• To engage in tests with collaborative partners in
  the EU and USA.
• Partners UCL, Man, CLRC, UKERNA, Cisco

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GridProbe

• Objectives
• Development of an open and extensible
  architecture for network monitoring based on
  modularity. Performance requirements are for
  monitoring 10 Gbps links.
• Development of novel high-performance measurement
  tools. Which will allow any desired analysis to
  be performed upon the results
• Extrapolation and analysis of architectural
  requirements, constraints, and trade-offs which
  will be necessary to monitor networks of 40 Gbps
  and beyond, and develop a strategy to achieve
  this goal.
• Partners
• Cambridge, Intel, Waikato DAG, Broadcom, Xilinx,
  NTL, Thus

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GridMcast

• Objectives
• Investigation of the implementation issues of
  multicast transfers within the Grid framework.
• Provide a far superior method of software
  distribution, data replication and mirroring, and
  access to shared data for visualisation and
  analysis.
• All of these tasks are key to the success of
  PPARC's major Grid- based projects, GridPP and
  Astrogrid, which foresee Grids of international
  scale, with thousands of nodes.
• Partners
• Cambridge e-Science Centre, GridPP(EU), ATLAS
  (CERN)

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FutureGRID

• Objectives
• Deploy Xenoservers Active nodes at Access Grid
  sites (all e-Science Centres)
• Port the Pastry message routing and the Scribe
  event notification frameworks to Xenoserver with
  accounting and resource management of network
  usage (multicast congestion control)
• Design suitable API based on GRID GGF models
  WSDL/OGSA
• Refinement and implementation of application set
  (vic, rat, fcast, powerpoint) to new
  infrastructure, including gateways to legacy
  native multicast versions.
• Partners
• Cambridge (CLab, Microsoft Research).

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GRID Resource Scheduling (GRS)

• Objectives
• QoS and network features integration in the GRID
  resource model.
• Dynamic Requests of Bandwidth for capacity from
  end-users.
• Micro-management of QoS at edge sites.
• Highly decentralised, multi-domain QoS management
  under local administrative controls
• Partners
• UCL, Cambridge, DataGRID