Reinventing Enterprise Techology

By Peter Coffee  |  Posted 2005-09-26 Print this article Print

Academic and commercial research communities are addressing system and data challenges with innovations on every level of enterprise stack. What are the current theories in academic papers that will make their way into your data center?

Enterprise and academic systems are equally challenged by thickening jungles of system complexity and massive flows of data. Research communities in both worlds are responding with innovative efforts aimed at every level of the IT stack—from the lowest level of logic and memory hardware to the most abstract models of application function and user interaction.

Research facilities are also IT customers as well as innovators, with technical sophistication that often leads to early adoption and provides potential lessons learned that may benefit less aggressive sites. In this report, eWEEK Labs examines some of the opportunities and challenges that invite a growing exchange of insights—not just a trickle-down from theory to practice—between researchers and users in industry and academia.

This report is based on a series of conversations that took place this summer with researchers and managers at four key centers of commercial IT innovation—IBM, Intel Corp., Microsoft Corp. and Sun Microsystems Inc.—and at two academic hot spots—the San Diego Supercomputer Center, or SDSC, and the Massachusetts Institute of Technology.

Our discussions shed light not just on whats to come but also on ways that enterprise IT builders can start now to ease the process of adopting these innovations as they mature into commercial offerings.

Click here to read about Yahoos new Internet research lab. Next Page: Room at the bottom.

Peter Coffee is Director of Platform Research at, where he serves as a liaison with the developer community to define the opportunity and clarify developers' technical requirements on the company's evolving Apex Platform. Peter previously spent 18 years with eWEEK (formerly PC Week), the national news magazine of enterprise technology practice, where he reviewed software development tools and methods and wrote regular columns on emerging technologies and professional community issues.Before he began writing full-time in 1989, Peter spent eleven years in technical and management positions at Exxon and The Aerospace Corporation, including management of the latter company's first desktop computing planning team and applied research in applications of artificial intelligence techniques. He holds an engineering degree from MIT and an MBA from Pepperdine University, he has held teaching appointments in computer science, business analytics and information systems management at Pepperdine, UCLA, and Chapman College.

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