The BigSur System Data Sheet
The BigSur SystemTM Data Sheet
Purpose: Science Tools' BigSur SystemTM is a comprehensive environment for science, research, high-performance-computing and development enterprise management.
Applications: The BigSur SystemTM is capable of implementing a large number of diverse applications because it is extremely flexible. It is suitable for use in running an entire computing center, or it may be used by a single researcher. BigSur implements an Event Driven Processing Model (EDPM), a work-flow management and a distributed processing system for "grid-like" computing.
Architecture: The BigSur SystemTM is meta-data-centric, providing a fully distributed environment. Component parts include: (Most are also available separately.)
▪ STDB - the Science Tools DataBase schema with optional extension schemas
▪ STJC - the Science Tools Java Connection, security package
▪ DPS - the Distributed Processing System
▪ STDB Java API
▪ The Archivist - manages object archives
▪ The Publisher - moves data and/or meta-data to remote locations.
Please refer to the appropriate data-sheet for each of these components.
"FCS": On September 1, 1997, the first commercial implementation of BigSur was put into production service at the Langley Research Center (LaRC), Virginia, averaging over 400,000 process executions per month on a 24 x 7 x 365 basis.
Testimonials: Don Rieger, LaRC staff, February 2, 2004: "Since September 1, 1997, Science Tools' BigSur System™ remains in production managing our TRMM data (and other processing workload) of our supercomputer systems. We keep giving it more work to do. And, so far, we've never found a single bug."
Victor Zlotnicki, Investigator, Jet Propulsion Laboratory, August 12, 2004: “Similar concepts underpin how large NASA projects process must satellite data…And fully tracing a result to all the previous steps, is essential to sound research.”
Features: ( Extremely High Scalability - The design was intended to manage the worlds largest data collections from its initial design concepts; BigSur is extremely efficient.
▪ Seamless Application Access via ANY Supported Database - Oracle, Sybase, Informix, DB2, Postgres, and any other DBMS that supports JDBC and SQL92.
▪ Enhanced Security - BigSur implements the very latest paradigms of security, including multiple, simultaneous authentications of users and systems, confirmation of resources found on disk, enforced validations of configurations, etc.
▪ Plays Well With Others - BigSur is designed to learn about the holdings of other systems and both manage their meta-data and automate collaborative access.
▪ Object-Management - BigSur implements its own Object paradigm, which distinctively breaks the traditional hierarchical nature of Object systems.
▪ Fully Distributed Architecture - any component (e.g. processes, Objects, data, meta-data, etc) may exist on any network-reachable node.
▪ Progressive-Utilization - implementers may use as little capabilities as desired without being forced to use unnecessary components.
▪ Adaptive-Orientation - the system conforms to the scientific conventions and paradigms of the user (e.g. data-types, associative relationships, processes, etc)
▪ Community-Oriented - intended to foster both inter- and intra-disciplinary research.
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