Lab Information

Introduction

Searching for data, and hence deriving information, from on-line database servers is quickly becoming a nightmare. In previous years, the difficulty of gathering data from which to derive information stemmed from the inability of the user to find and access appropriate data sources. Today, we have too much data available on-line. The difficulty now is to find a relatively few truly relevant items from the vast number of identified sources. That is, we are faced with the task of locating a few relevant data trinkets from within a sea of available items, akin to the old adage of finding a needle in a haystack.

The data of today are electronically distributed and are represented in diverse formats. To efficiently process and extract information from these data requires distributed, efficient, portable, high-performance information processing engines. It is within this context that all of the projects described herein were developed.

Over the years, my team has developed several information processing systems. Some of these systems are presently in use at the National Institutes of Health, NCR, and at Harris Corporation. Many papers describe these various information systems. A book and three US patent applications also focus on these same efforts.

Lab Facilities

Hardware

Number System Specs
4
Research Cluster
Hadoop
8 Intel Xeon X5460 3.16GHz CPUs
32 GB RAM
3.4TB RAID-5 Disk Space
1
Sun Fire V880
4 750MHz UltraSparc-III CPUs
8 GB RAM
218GB Internal Disk Space
D1000 StorEdge Disk Array with 218GB of Disk Space

1
Sun Enterprise 450
4 400MHz UltraSparc-II CPUs
4 GB RAM
D1000 StorEdge Disk Array with 436GB of Disk Space
2nd D1000 StorEdge Disk Array with 160GB of Disk Space
DLT7000 High Speed Tape Backup System
L280 Tape AutoLoader

1
Compaq Proliant 6500
4 500MHz Pentium-III CPUs
4 GB RAM
45GB Hardware RAID Array

1
MicroPro PC Server
1 1200MHz Athlon Thunderbird CPU
1.5 GB RAM
72GB SCSI Software RAID Array

4
MicroPro PC Workstations
1 1000MHz Athlon Thunderbird CPU
512MB RAM
20GB of Disk Space

6
SGI 540 Visual Workstations
1 500MHz Pentium III Xeon
2 GB RAM
18GB of Disk Space

1
Sun Ultra-10 Workstation
1 360MHz UltraSparc-II CPU
768MB RAM
18GB of Disk Space

4
Sun Ultra-5 Workstations
1 300MHz UltraSparc-II CPU
256MB RAM
9GB of Disk Space

Networking

Cisco C2924M-XL-EN 24-port 10/100 High Speed Ethernet Switch

Software

Oracle 9i
Cognos PowerPlay 6.6
SPSS Clementine

Lab Director

Dr. Ophir Frieder
IITRI Professor of Computer Science
Illinois Institute of Technology
Department of Computer Science
10 W. 31st St.
Chicago, IL 60616
Phone : (312) 567-4496
e-mail: ophir@ir.iit.edu

Lab Contact Information

General Information: info@ir.iit.edu
Webmaster: webmaster@ir.iit.edu