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Fault Tolerant Real Time Heterogeneous Distributed System (Paperback)
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Fault Tolerant Real Time Heterogeneous Distributed System (Paperback)
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Fault-tolerance becomes an important key to establish dependability
in Real Time Distributed Systems (RTDS). In fault-tolerant Real
Time Distributed systems, detection of fault and its recovery
should be executed in timely manner so that in spite of fault
occurrences the intended output of real-time computations always
take place on time. Hardware and software redundancy are well-known
effective methods for fault tolerance, where extra hard ware (e.g.,
processors, communication links) and software (e.g., tasks,
messages) are added into the system to deal with faults.
Performances of RTDS are mostly guided by efficiency of scheduling
algorithm and schedulability analyses are performed on the system
to ensure the timing constrains. Fault tolerance can be achieved by
scheduling additional ghost copies in addition to the primary copy
of the task. The method proposed here extends the traditional
distributed recovery block (DRB) based fault tolerant scheduling
approach for real time tasks. Our algorithms are mostly based on
software redundancy, and ensures that the parallel updating of
backup task works better in case of transient overload and handles
permanent, transient and timing fau
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