Scott A. Brandt

Professor and Graduate Director
Computer Science Department

Director
Real-Time Systems Laboratory

Associate Director
Storage Systems Research Center

Associate Director
UCSC/Los Alamos Institute for Scalable Scientific Data Management

Email:	scott@cs.ucsc.edu
Phone:	831-459-5042
Fax:	831-459-4829
Office #:	E2–347B
Office Hours: (Fall 2007)	Tuesdays 2–4, and by appointment

Address:
Computer Science Department
University of California
1156 High Street MS:SOE3
Santa Cruz, CA 95064

Dr. Scott A. Brandt is Professor of Computer Science and the Director of Graduate Studies for the Computer Science Department at the University of California, Santa Cruz. He is also Director of the UCSC Real-Time Systems Laboratory, and Associate Director and co-founder of the UCSC Storage Systems Research Center and the UCSC/Los Alamos Institute for Scalable Scientific Data Management. Dr. Brandt's research is in the area of Computer Systems. He specializes in both Storage Systems and Real-Time Systems. His current Storage System research includes high-performance peta-scale object-based storage and the use of new storage technologies to improve storage system performance and reliability. His current real-time research focuses on integrating real-time and non-real-time processing into a uniform processing environment.

Dr. Brandt joined UC Santa Cruz in 1999. Prior to that he spent a number of years doing research and development in industry, including secure operating systems research at Secure Computing Corporation, and real-time image processing systems research at Alliant Techsystems Research and Technology Center and Honeywell Systems and Research Center. Dr. Brandt also co-founded Theseus Research, a small company devoted to researching asynchronous circuit technology and parallel computer languages. Dr. Brandt received his Ph.D. in Computer Science from the University of Colorado at Boulder in 1999, his M.S. in Computer Science from the University of Minnesota in 1994, and his Bachelor of Mathematics from the University of Minnesota in 1987.

Research

Dr. Brandt's research is in the broad area of Computer Systems. He specializes in both Storage Systems and Real-Time Systems. A complete list of his publications can be found here.

Storage Systems

I/O bandwidth is increasing arithmetically while CPU performance, disk capacity, and I/O requirements are all increasing exponentially. The ever-widening performance gap this creates both demands and enables increasingly intelligent data storage and retrieval. Our research examines high-performance data storage storage architectures, algorithms, and technologies aimed at addressing this performance gap.

Projects:

Representative publications:

Sage A. Weil, Scott A. Brandt, Carlos Maltzahn, and Ethan L. Miller, “CRUSH: Controlled, Scalable, and Decentralized Placement of Replicated Data,” International Conference for High Performance Computing, Networking, Storage, and Analysis (SC06), Denver, Colorado, November 11–17, 2006.
Sage A. Weil, Scott A. Brandt, Ethan L. Miller, Darrell D. E. Long, and Carlos Maltzahn, “Ceph: A Scalable, High-Performance, Distributed Object-based Storage System,” Symposium on Operating Systems Design and Implementation (OSDI ’06), Seattle, Washington, November 6–8. 2006.
Bo Hong, Scott A. Brandt, Darrell D. E. Long, Ethan L. Miller, and Ying Lin, “Using MEMS-Based Storage in Computer Systems–Device Modeling and Management,” ACM Transactions on Storage, Volume 2, No. 2, pp. 1–22, May 2006.
Bo Hong, Feng Wang, Scott A. Brandt, Darrell D. E. Long, and Thomas J. E. Schwarz, “Using MEMS-Based Storage in Computer Systems–MEMS Storage Architectures,” ACM Transactions on Storage, Volume 2, No. 1, pp. 1–21, February 2006.
Sage A. Weil, Kristal T. Pollack, Scott A. Brandt, and Ethan L. Miller, "Dynamica Metadata Management for Petabyte-scale File Systems," International Conference for High Performance Computing, Networking, Storage, and Analysis (SC2004), November, 2004.

Real-Time Systems

We are investigating a new model for dynamic and fully integrated real-time scheduling called Resource Allocation/Dispatching(RAD). RAD allows for the detailed management of both the resources consumed and the timing of the delivery of those resource for each executing process. RAD fully characterizes the timeliness requirements of the processes, allowing each process to have different requirements with respect to both of these quantities and enabling resource delivery precisely tailored to the needs of each process. The RAD model of CPU resource management has led to the development of several distinct CPU resource managers: RBED, HodgePodge, BEST, BeRate, and DQM. We have also applied this model to control system and, more recently, to storage Quality of Service.

>Projects:

Representative publications:

Caixue Lin, Tim Kaldewey, Anna Povzner, Scott A. Brandt, ”Diverse Soft Real-Time Processing in an
Integrated System,” IEEE Real-Time Systems Symposium (RTSS 2006), Rio de Janeiro, Brazil, December 5–8,
2006.
Caixue Lin and Scott A. Brandt, "Improving Soft Real-Time Performance Through Better Slack Management," IEEE Real-Time Systems Symposium (RTSS 2005), pp. 3–14, December, 5–8, 2005.
Joel Wu, Scott Banachowski, and Scott A. Brandt, "Hierarchical Disk Sharing for Multimedia Systems," ACM International Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV 2005), pp. 189–194, June 2005.
Scott Banachowski, Timothy Bisson, and Scott A. Brandt, "Integrating Best-effort Scheduling into a Real-Time System," IEEE Real-Time Systems Symposium (RTSS 2004), December, 2004.
Pau Marti, Caixue Lin, Scott Brandt, Manel Velasco, and Josep Fuertes, "Optimal State Feedback Resource Allocation for Resource-Constrained Control Tasks," IEEE Real-Time Systems Symposium (RTSS 2004), pp. 161–172, December, 2004.

Teaching

Dr. Brandt teaches both undergraduate and graduate courses. His undergraduate course offerings include CMPS 12A: Introduction to Programming, CMPS 12B: Data Structures, CMPS 13H: Honors Introduction to Programming and Data Structures, CMPS 105: Systems Programming, and CMPS 111: Introduction to Operating Systems. His graduate course offerings include CMPS 221: Advanced Operating Systems, and CMPS 290S: Advanced Topics in Computer Systems (covering Storage Systems and Real-Time Systems in different offerings).

Class Web Pages:

Current:

CMPS 280S: Seminar in Computer Systems

All:

Current and Former Graduate Students:

Doctor of Philosophy

Sage Weil
Joel Wu
Timothy Bisson
Anna Povzner
Tim Kaldewey
Dr. Feng Wang	—	Storage Management in Large Distributed Object-based Storage Systems (2006)
Dr. Caixue Lin	—	Unified and Effective Soft Real-Time Processing in Integrated Systems (2006)
Dr. Bo Hong	—	Storage and File Systems for MEMS-based Storage (2005)
Dr. Scott Banachowski	—	CPU Time-Sharing in Real-Time Systems (2005)

Master of Science

Ian Pye
Nikhil Bobb	—	The Graffiti Distributed Metadata Management System—Client (2006)
Travis Odegaard	—	The Cache and Multimedia Data (2005)
Ivan Dramaliev	—	Optimizing Probe-based Storage (2005)
Timothy Bisson	—	Dynamic Spin-Down Kernel Implementation and Reducing Energy Consumption Using a Non-Volatile Storage Cache (2005)
Deepa Tuteja	—	Linking File System with MRAM (2004)
Suruchi Malatpure	—	Rate-based Scheduling in RBED (2003)
Caixue Lin	—	Managing the Soft Real-Time Processes in RBED (2003)
Scott Banachowski	—	Using the Best-effort Scheduling Model to Support Soft Real-time Processing (2002)
Alicja Szczurowska	—	MRAM—Preliminary Analysis for File System Design (2002)
Feng Wang	—	Using MEMS-based Storage Devices in the Storage Hierarchy (2002)
Lan Xue	—	Efficient Metadata Management in Large Distributed File Systems (2002)