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THIS PROPOSAL ADDRESSES NEW METHODS FOR DESIGNING OPTIMAL, EXPANDABLE,…

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
1630
Program Year/Program:
1984 / SBIR
Agency Tracking Number:
1630
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Optimization Technology, Inc.
125 West Park Loop Suite 201 Huntsville, AL 35806
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1984
Title: THIS PROPOSAL ADDRESSES NEW METHODS FOR DESIGNING OPTIMAL, EXPANDABLE, MULTI-BUS DATA NETWORKS FOR SPACE, MILITARY, AND COMMERCIAL APPLICATIONS.
Agency: NSF
Contract: N/A
Award Amount: $40,000.00
 

Abstract:

THIS PROPOSAL ADDRESSES NEW METHODS FOR DESIGNING OPTIMAL, EXPANDABLE, MULTI-BUS DATA NETWORKS FOR SPACE, MILITARY, AND COMMERCIAL APPLICATIONS. COMPUTER NETWORKS ARE BEING USED IN A RAPIDLY EXPANDING VARIETY OF APPLICATIONS RANGING FROM INTER-OFFICE COMMUNICATION TO DATA MANAGEMENT FOR THE SPACE STATION. SEVERAL DESIGN FACTORS DRIVE ALL NETWORK APPLICATIONS: THROUGHPUT, FAULT-TOLERANCE, EXPANDABILITY, AND SECURITY. ALL OF THESE FACTORS CAN BE ENHANCED BY EMPLOYING MULTI-BUS NETWORKS INSTEAD OF POINT-TO-POINT OR SINGLE-BUS NETWORKS. CURRENTLY, MULTI-BUS NETWORKS ARE DESIGNED IN AN AD HOC MANNER WHICH TYPICALLY COMBINES "GOOD ENGINEERING SENSE" WITH EXTENSIVE COMPUTER SIMULATIONS. NETWORKS DESIGNED IN THIS MANNER ARE NOT OPTIMAL WITH RESPECT TO MINIMIZING COST, MAXIMIZING THROUGHPUT, OR OTHER DESIGN OBJECTIVES. CLEARLY, THE CURRENT DESIGN METHODS COULD BE IMPROVED. THIS PROPOSAL DISCUSSES MATHEMATICAL METHODS FOR DESIGNING OPTIMAL, MULTI-BUS NETWORKS THAT SATISFY A SET OF DESIGN OBJECTIVES INVOLVING THROUGHPUT, FAULT-TOLERANCE, EXPANDABILITY, AND SECURITY. THE CENTRAL PROBLEM IN SOLVING STANDARD FORMULATIONS OF THIS PROBLEM IS THAT THE NUMBER OF BUS-TO-NODE INTERCONNECTIONS IS STAGGERING. THE PROBLEM RAPIDLY BECOMES MORE DIFFICULT AS THE NUMBER OF NODES INCREASES. THIS PROPOSAL PRESENTS INNOVATIVE METHODS FOR SOLVING MULTI-BUS NETWORK DESIGN PROBLEMS, WITH EMPHASIS GIVEN TO PRACTICAL ARCHITECTURES.

Principal Investigator:

Dr. paul l. mcentire
CHIEF EXECUTIVE OFFICER
0

Business Contact:

Dr. Paul L. Mcentire
President
Small Business Information at Submission:

Optimization Technology Inc.
20380 Town Center Lane Suite 160 Cupertino, CA 95014

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No