Deadlock Avoidance for Distributed Real-Time and Embedded Systems, PhD Thesis
Cesar Sanchez
This thesis studies how to prevent deadlocks in distributed real-time
and embedded systems. Deadlocks are undesirable states of concurrent
systems, characterized by a set of processes in a circular wait state,
in which each process is blocked trying to gain access to a resource
held by the next one in the chain. Solutions can be classified into
three categories:
- Deadlock detection is an optimistic approach. It assumes that
deadlocks are infrequent and detects and corrects them at
runtime. This technique is not applicable to real-time systems
since the worst case running time is long. Moreover, in embedded
systems actions cannot be undone.
- Deadlock prevention is a pessimistic approach. The possibility of a
deadlock is broken statically at the price of restricting
concurrency.
- Deadlock avoidance takes a middle route. At runtime each allocation
request is examined to ensure that it cannot lead to a deadlock.
Deadlock prevention is commonly used in distributed real-time and
embedded systems but, since concurrency is severely limited, an
efficient distributed deadlock avoidance schema can have a big
practical impact. However, it is commonly accepted (since the mid
1990s) that the general solution for distributed deadlock avoidance is
impractical, because it requires maintaining global states and global
atomicity of actions. The communication costs involved simply outweigh
the benefits gained from avoidance over prevention.
This thesis presents an efficient distributed deadlock avoidance
schema that requires no communication between the participant sites,
based on a combination of static analysis and runtime protocols. This
solution assumes that the possible sequences of remote calls are
available for analysis at design time. This thesis also includes
protocols that guarantee liveness, and mechanisms to handle
distributed priority inversions.
Postscript,
PDF.
© 2007, Cesar Sanchez.
© César Sánchez / cesar 'at' cs.stanford.edu
Tue Dec 26 14:38:31 PST 2006