Techniques for Building Timing-Predictable Embedded Systems - Hardcover

Guan, Nan

Hardcover

ISBN 10: 3319271962 ISBN 13: 9783319271965

Publisher: Springer, 2016

Synopsis

This book describes state-of-the-art techniques for designing real-time computer systems. The author shows how to estimate precisely the effect of cache architecture on the execution time of a program, how to dispatch workload on multicore processors to optimize resources, while meeting deadline constraints, and how to use closed-form mathematical approaches to characterize highly variable workloads and their interaction in a networked environment.  Readers will learn how to deal with unpredictable timing behaviors of computer systems on different levels of system granularity and abstraction. 

About this title

About the Author

Nan Guan is a researcher in the Embedded Systems Institute of the College of Computer Science and Engineering, at Northeastern University, China. His research interest includes Multiprocessor/multicore scheduling, Worst-Case Execution Time analysis, and Software synthesis of dataflow models.

From the Back Cover

This book describes state-of-the-art techniques for designing real-time computer systems. The author shows how to estimate precisely the effect of cache architecture on the execution time of a program, how to dispatch workload on multicore processors to optimize resources, while meeting deadline constraints, and how to use closed-form mathematical approaches to characterize highly variable workloads and their interaction in a networked environment.  Readers will learn how to deal with unpredictable timing behaviors of computer systems on different levels of system granularity and abstraction. 

 

• Introduces promising techniques for dealing with challenges associated with deploying real-time systems on multicore platforms;
  
• Provides a complete picture of building timing-predictable computer systems, at the program level, component level and system level;
  
• Leverages different levels of abstraction to deal with the complexity of the analysis.
  

Edition details

• Publisher: Springer
• Publication date: 2016
• Language: English
• ISBN 10: 3319271962
• ISBN 13: 9783319271965
• Binding: Hardcover
• Edition number: 1
• Number of pages: 249