Electronic support functions pose the current major area of innovation in the automotive environment. The number of ECUs has reached an upper boundary with about 80 ECUs deployed in a well-equipped car. The industry aims at consolidating the number of ECUs by shifting from a federated architecture to an integrated architecture. The integration of multiple applications on an ECU raises the need for isolation mechanisms that allow for a safe coexistance. The embedded Multi-JVM KESO is a purely software-based approach to provide memory protection through the use of the type-safe Java language along with other isolation machanisms. KESO is based on an OSEK/VDX operating system, the defacto standard in the automotive industry, and compiles Java code to C-Code ahead-of-time, which allows the use of existing compiler and analyzing tools. This work covers the Java interface to the OSEK/VDX system services and a heap management strategy featuring low-latency incremental garbage collection, but also gives a general KESO overview.
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Revision with unchanged content. Electronic support functions pose the current major area of innovation in the automotive environment. The number of ECUs has reached an upper boundary with about 80 ECUs deployed in a well-equipped car. The industry aims at consolidating the number of ECUs by shifting from a federated architecture to an integrated architecture. The integration of multiple applications on an ECU raises the need for isolation mechanisms that allow for a safe coexistance. The embedded Multi-JVM KESO is a purely software-based approach to provide memory protection through the use of the type-safe Java language along with other isolation machanisms. KESO is based on an OSEK/VDX operating system, the defacto standard in the automotive industry, and compiles Java code to C-Code ahead-of-time, which allows the use of existing compiler and analyzing tools. This work covers the Java interface to the OSEK/VDX system services and a heap management strategy featuring low-latency incremental garbage collection, but also gives a general KESO overview.
is a research assistant at the University of Erlangen-Nuremberg. He graduated from university with a Dipl.-Inf. degree (computer science) which he was awarded the ASQF prize for. He spent two research terms at the University of California, Irvine, funded by BaCaTec and DAAD, during one of which this diploma thesis was developed.
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