What is Grid Computing System

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What is Grid Computing System

• Virtualization of distributed computing and data
  resources such as processing, network bandwidth
  and storage capacity to create a single system
  image
• individual users can access computers and data
  transparently, without having to consider
  location, operating system, account
  administration, and other details. Users
  essentially sees a single, large virtual computer
• In grid computing, the details are abstracted,
  and the resources are virtualized.
• Is based on an open set of standards and
  protocols, e.g., Open Grid Services Architecture
  (OGSA) that enable communication across
  heterogeneous, geographically dispersed
  environments.
• With grid computing, organizations can optimize
  computing and data resources, pool them for large
  capacity workloads, share them across networks
  and enable collaboration.
• "virtual supercomputer" by using
• spare computing resources within an organization.
  
• a network of geographically dispersed computers

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Grid Computing System
Grid Computing Layer
Grid Computing Layer
INTERNET
Grid Computing Layer
Grid Computing Layer
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Types of Grid Computing Systems

• The Heavy-weight, feature-rich systems that tend
  to concern themselves primarily with providing
  access to large-scale, intra- and
  inter-institutional resources such as clusters or
  multiprocessors. Grid systems developed using the
  Globus Toolkit are examples of this class.
• The Desktop Grid, in which cycles are scavenged
  from idle desktop computers. The Berkeley Open
  Infrastructure for Network Computing (BOINC), a
  descendant of the SETI_at_home project, is an
  example of middleware for public Desktop Grid
  computing, as it harnesses resources that exist
  outside of institutional control.
• The hybrid BOINC- and Globus-based Grid systems
  to inter-operate and thus provides a means for
  Globus-based computational Grids to incorporate a
  much greater range of resources.
• Decreasing the startup cost for new Desktop Grid
  computing projects, it makes Desktop Grids a
  viable option for a broader range of projects,
  and provides to Desktop Grids features inherent
  in Globus (e.g., authentication, authorization,
  file transfer).

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The Anatomy of the Grid

• Need to study in detail and present content from
  the paper
• The Anatomy of the Grid Enabling Scalable
  Virtual Organizations. I. Foster, C. Kesselman,
  S. Tuecke. International J. Supercomputer
  Applications, 15(3), 2001.

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Globus Tookit

• Grid Computing Layer (Middleware) development
  toolkit
• The Globus Toolkit is an open source software
  toolkit used for building grids. It is being
  developed by the Globus Alliance and many others
  all over the world.
• includes software for security, information
  infrastructure, resource management, data
  management, communication, fault detection, and
  portability.
• Packaged as a set of components that can be used
  either independently or together to develop
  applications.
• Grid Resource Allocation and Management (GRAM)
  protocol and its gatekeeper (factory) service
  these provide for the secure and reliable
  creation and management of arbitrary
  computations, termed transient service instances
• Grid Security Infrastructure (GSI), which
  supports single sign on, delegation, and
  credential mapping. A two-phase commit protocol
  is used for reliable invocation
• Meta Directory Service (MDS-2), which provides
  for information discovery through soft-state
  registration, data modeling, and a local registry

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Globus Toolkit Components
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Globus Toolkit Components (continued)

• More to come. Need to study
• Globus Toolkit Version 4 Software for
  Service-Oriented Systems. I. Foster. IFIP
  International Conference on Network and Parallel
  Computing, Springer-Verlag LNCS 3779, pp 2-13,
  2006.

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Grid Computing And SOA

• To be continued. Need to study
• Service-Oriented Science. I. Foster. Science,
  vol. 308, May 6, 2005.

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Examples of Grid Services
http//lattice.umiacs.umd.edu/gridservices.php htt
p//www.gridforum.org/documents/GFD.29.pdf
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Planned Grid Connectivity
12 Institutions
1150 CPUs, including 80 x86 node cluster
Sura Grid
224 XServe blades
Bowie
College Park
National Lambda Rail(NLR)
Globus Toolkit/Condor Websphere App.
Server Rationale S/W Lambda Ram
NLR
Bluegrit
Lattice Grid
900 cpus
Fiber
UMBC HyperWall
Matisse
6CPUs/12screens
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SURAgrid Participants (As of April 2006)
Bowie State
GMU
UMD
UMich
UKY
UVA

UArk
GPN
Vanderbilt
ODU
UAH
USC
NCState
OleMiss
TTU
SC
UNCC
TACC
UAB
UFL
TAMU
LSU
GSU
ULL
Tulane
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Lattice Grid

• What is
• The Lattice Project is an attempt to effectively
  share computational resources among departments
  and institutions, starting with those in the
  University System of Maryland.
• The Grid is focused on computation, and we have
  not yet made efforts to enable large-scale data
  access, storage, or replication.
• Grid Software
• make heavy use of the Globus Toolkit, which forms
  the backbone of our Grid system. It provides
  mechanisms for job submission, file transfer, and
  authentication and authorization of Grid
  entities, to name a few things.
• have also done extensive work with BOINC, which
  enables public participation in the Grid and
  represents a potentially huge resource. We have
  developed software that allows Globus, (and hence
  our Grid system), to submit jobs to a BOINC pool.
• work with scheduling software, such as Condor and
  PBS, that controls local resources. Such software
  is being deployed where it is most appropriate.

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Near Term Bluegrit Design

• Hardware
• 1 Intel based head node
• 1 Intel based storage server
• 33 2-Proc. JS20 blades(2.2GHz .5GB)
• 14 4-Proc. JS21 blades(2.5GHz 2GB)
• 5.4 TB of shared storage
• 1.3 TB of node storage
• Operating System
• Red Hat Enterprise 4 Linux
• Network
• 10 Gb external connection to College Park
• 1 Gb Ethernet interconnect
• 100 Mb external connection

College Park
UMBC Network
Head node
10 Gb
JS21 Blades
Storage
JS20 Blades
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Future Bluegrit Potentials

• 5 Available Chassis with 70 blade slots
• Add Cell blade architecture for future computing
• Upgrade interconnects between chassis/blades
• Increase RAM availability
• Build Out Campus Grid