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Low-latency time-portable real-time programming with Exotasks
Author(s) -
Joshua Auerbach,
David F. Bacon,
Daniel Iercan,
Christoph Kirsch,
V. T. Rajan,
Harald Röck,
Rainer Trummer
Publication year - 2009
Publication title -
acm transactions on embedded computing systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.435
H-Index - 56
eISSN - 1558-3465
pISSN - 1539-9087
DOI - 10.1145/1457255.1457262
Subject(s) - computer science , garbage collection , java , operating system , java concurrency , real time java , strictfp , scheduling (production processes) , embedded java , latency (audio) , embedded system , programming language , garbage , telecommunications , operations management , economics
Exotasks are a novel Java programming construct that achieve three important goals. They achieve low latency while allowing the fullest use of Java language features, compared to previous attempts to restrict the Java language for use in the submillisecond domain. They support pluggable schedulers, allowing easy implementation of new scheduling paradigms in a real-time Java system. They can achieve deterministic timing, even in the presence of other Java threads, and across changes of hardware and software platform. To achieve these goals, the program is divided into tasks with private heaps. Tasks may be strongly isolated, communicating only with each other and guaranteeing determinism, or weakly isolated, allowing some communication with the rest of the Java application. Scheduling of the tasks' execution, garbage collection, and value passing is accomplished by the pluggable scheduler. Schedulers that we have written employ logical execution time (LET) in association with strong isolation to achieve time portability. We have also built a quad-rotor model helicopter, the JAviator, which we use to evaluate our implementation of Exotasks in an experimental embedded version of IBM's J9 real-time virtual machine. Our experiments show that we are able to maintain very low scheduling jitter and deterministic behavior in the face of variations in both software load and hardware platform. We also show that Exotasks perform nearly as well as Eventrons on a benchmark audio application.

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