IP Library Granted Patent US 8,402,080
Granted Patent B2
US 8,402,080 · App. 11/749,554 · Granted Mar 19, 2013

Clustered computer system

Inventors: Ariela Tannenbaum (Newport Coast, CA); Zvi Tannenbaum (Newport Coast, CA); Bryan M. Minor (Mount Vernon, WA); Tamas Frajka (Seattle, WA); John M. Westerhoff (Chicago, IL)
Assignee: Advanced Cluster Systems, Inc.
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Quick Facts
Patent No.
US 8,402,080
App. No.
11/749,554
Granted
Mar 19, 2013
Kind
B2
Abstract

A clustered computational system comprises a clustered computational engine, a program host, and a queue manager. The clustered computational engine comprises a plurality of clustered computers and is configured to perform computations. The program host stores a plurality of programs that define computations that can be performed by the clustered computational engine and a plurality of inputs to the programs. The queue manager is configured to determine when the program host has stored sufficient inputs to allow the clustered computational engine to perform a computation defined by the program and to schedule the performance of the computation by the clustered computational engine.

Claims (13)

1. A clustered computational system comprising:

a clustered computational engine comprising a plurality of clustered computers that perform computations;

a program host computer that stores, on a computer-accessible storage device, a plurality of programs and a plurality of inputs to the programs, the programs invoke computations that are executed by the clustered computational engine, and each computation defines a set of parameters prescribing input data that the computation must receive to generate output data of the computation and each computation receives input data for each of the parameters in the defined set of parameters and generates output data;

a program hosting component that receives, from at least one remote computer, a selection of one of the stored programs for execution by the program host computer;

an input component that receives, from at least one remote computer, input data to the stored program that is to be executed, the received input data are stored on the computer-accessible storage device of the program host computer;

a web server that receives user selections of computations to be performed on the clustered computational engine, transmits the user selections to the program host computer, and receives results of computations performed by the clustered computational engine; and

a queue manager comprising an automated process that automatically and periodically polls the program host computer in order to determine when the program host computer has stored input data satisfying every one of the defined set of parameters for a computation invoked by the selected program, such that the computation is able to generate output data, and, upon determining that the program host computer has stored said input data, to automatically schedule execution of the computation by the clustered computational engine, such that said scheduling of the execution of the computation by the clustered computational engine is automatically delayed at least until the program host computer has stored input data satisfying every one of the defined set of parameters for a computation invoked by the selected program.

2. The system of claim 1 , wherein the clustered computational engine comprises at least one computer executing gridMathematica.

3. The system of claim 1 , wherein the web server also displays the results of computations.

4. The system of claim 3 , wherein the web server is in communication with a graphics component that assists the web server to display the results in graphical format.

5. The system of claim 4 , wherein the graphics component also performs computations and the system assigns the graphics component to perform computations that do not require the clustered computational engine.

6. The system of claim 5 , wherein the graphics component comprises webMathematica.

7. The system of claim 1 , wherein the input component receives inputs to the stored program at different times.

Assignments (5)
MERGER Recorded Oct 27, 2011
From: ADVANCED CLUSTER SYSTEMS, LLC
To: ADVANCED CLUSTER SYSTEMS, INC.
Reel/Frame 027136/0748 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 27, 2011
From: DAUGER RESEARCH, INC.
To: ADVANCED CLUSTER SYSTEMS, INC.
Reel/Frame 027136/0071 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 27, 2011
From: DAUGER, DEAN, DR.
To: ADVANCED CLUSTER SYSTEMS, INC.
Reel/Frame 027136/0052 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNOR NAME PREVIOUSLY RECORDED ON REEL 019564 FRAME 0836. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Aug 13, 2007
From: TANNENBAUM, ARIELA; TANNENBAUM, ZVI; MINOR, BRYAN M; FRAJKA, TAMAS; WESTERHOFF, JOHN M.
To: ADVANCED CLUSTER SYSTEMS, LLC
Reel/Frame 019687/0367 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 16, 2007
From: TANNENBAUM, ARIELA; TANNENBUAM, ZVI; MINOR, BRYAN M.; FRJKA, TAMAS; WESTERHOFF, JOHN M.
To: ADVANCED CLUSTER SYSTEM, LLC
Reel/Frame 019564/0836 →
Continuity (3)
Continuation 11527319 · Sep 26, 2006
Provisional Application 60720442 · Sep 26, 2005
Related Publication 20070255782A1 · Nov 1, 2007