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POSIX-like OGSA/SOAP Services. Arun Jagatheesan Architect & Team Lead, SDSC Matrix San Diego Supercomputer Center. GFS, Global Grid Forum-9 October 7, 2003, Chicago. Talk Outline. Grid File System The small big picture Need for Schema Need for Operation definitions Data Transport.

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posix like ogsa soap services

POSIX-like OGSA/SOAP Services

Arun Jagatheesan

Architect & Team Lead, SDSC Matrix

San Diego Supercomputer Center

GFS, Global Grid Forum-9

October 7, 2003, Chicago

talk outline
Talk Outline
  • Grid File System
  • The small big picture
  • Need for Schema
  • Need for Operation definitions
  • Data Transport
grid file system
Grid File System

Applications (Astronomy, Physics, Life Science, business apps, . . .)

Hierarchical Logical Name space, ACL, metadata

Grid File System Service (POSIX-like Interface)

NFS/CIFS …

Virtual Directory Service

(Management of virtualization)

Data Services

Coordinated with other groups

Data Sources

the small big picture

OGSA/SOAP based interfaces for file operations

NFS or other standard interface over the virtualized schema

The small big picture

NFS/CIFS …

Grid File System Service (POSIX-like Interface)

XML Schema for Collections, Data Sets

Virtual Directory Service

(Management of virtualization)

Data Services

Data Sources

grid collection schema
Grid Collection Schema
  • XML Schema based Description for
    • Collections or Virtual Directories
    • Data Sets
    • File System Meta-data (file size, date created, …)
    • Application Specific Meta-data
    • Access Permissions
  • Logical Name space
    • Extensible
    • Scalable (more federations)
    • Dynamic Composition of the name space
    • Import and Export
operations on logical namespace
Operations on Logical Namespace
  • OGSA/SOAP based interfaces
    • Grid File System operations
    • Similar to traditional file systems operations / POSIX
      • Open (= Get a GSR?), Read, Seek’n’Read, Seek’n’Write, …
  • Simple Control (Context) Operations
    • Management of Logical Namespace
    • SOAP based bindings
  • Bulk (Content) Operations
    • Only SOAP bindings for data transport ??? (NOPE)
    • Alternative mechanisms needed in standard
logical layers bits data information

myActiveNeuroCollection

patientRecordsCollection

image.cgi

image.wsdl

image.sql

E:\srbVault\image.jpg

/users/srbVault/image.jpg

Select … from srb.mdas.td where...

Logical Layers (bits,data,information,..)

Collections or Virtual Directories

Virtual Data Transparency

Data Replica Transparency

image_0.jpg…image_100.jpg

Data Identifier Transparency

Storage Location Transparency

Storage Resource Transparency

storage resource transparency 1
Storage Resource Transparency (1)
  • Storage repository abstraction
    • Archival systems, file systems, databases, FTP sites, …
  • Logical resources
    • Combine physical resources into a logical set of resources
    • Hide the type and protocol of physical storage system
    • Load balancing – based on access patterns
    • Unlike DBMS, user is aware of logical resources
    • Flexibility to changes in mass storage technology
storage resource transparency 2
Storage Resource Transparency (2)
  • Standard operations at storage repositories
    • POSIX like operations on all resources
  • Storage specific operations
    • Databases - bulk metadata access
    • Object ring buffers - object based access
    • Hierarchical resource managers - status and staging requests
storage location transparency
Storage Location Transparency
  • Support replication of data for performance
    • Transparent access to physical location and physical resource
  • Virtualization of distributed data resources
    • Data naming managed by the data grid
  • Redundancy for preservation
    • Resource redundancy – “m of n” resources in list
    • Location redundancy – replicate at multiple locations
data identifier transparency
Data Identifier Transparency
  • Four Types of Data Identifiers:
  • Unique name
    • OID or handle
  • Descriptive name
    • Descriptive attributes – meta data
    • Semantic access to data
  • Collective name
    • Logical name space of a collection of data sets
    • Location independent
  • Physical name
    • Physical location of resource and physical path of data
data replica transparency
Data Replica Transparency
  • Replication
    • Improve access time
    • Improve reliability
    • Provide disaster backup and preservation
    • Physically or Semantically equivalent replicas
  • Replica consistency
    • Synchronization across replicas on writes
    • Updates might use “m of n” or any other policy
    • Distributed locking across multiple sites
  • Versions of files
    • Time-annotated snapshots of data
conclusion
Conclusion
  • Lot of possibilities
  • Need for a Standard Grid File Schema and Global Logical Namespace for virtualization
  • Need for Standard description of Operations or Grid File System Service
  • Call for
    • Users, Projects
    • Developers, Vendors
  • It’s a stone’s throw away – together, we will do it.
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