Timing Analysis of Body Area Network Applications

Body area network (BAN) applications have stringent timing requirements. The timing behavior of a BAN application is determined not only by the software complexity, inputs, and architecture, but also by the timing behavior of the peripherals. This paper presents systematic timing analysis of such applications, deployed for health-care monitoring of patients staying at home. This monitoring is used to achieve prompt notification of the hospital when a patient shows abnormal vital signs. Due to the safetycritical nature of these applications,worst-case execution time (WCET) analysis is extremely important

Effects of Branch Prediction on Worst Case Execution Time of Programs

In this paper, we present a framework to mode

A Framework to Model Branch Prediction for Worst Case Execution Time Analysis

Estimating the Worst Case Execution Time (WCET) of a program on a given hardware platform is useful in the design of embedded real-time systems. These systems communicate with the external environment in a timely fashion, and thus impose constraints on the execution time of programs. Estimating the WCET of a program ensures that these constraints are met. WCET analysis schemes typically model micro-architectural features in modern processors, such as pipeline and caches, to obtain tight estimates. In this paper