Abstract
As the size of high performance clusters multiplies, the probability of system failure grows substantially, posing an increasingly significant challenge for scalability. Checkpoint-based fault tolerance methods are effective approaches at dealing with faults. With these methods, the state of the entire parallel application is checkpointed to reliable storage. When a fault occurs, the application is restarted from a recent checkpoint. However, the application developer is required to write significant additional code for checkpointing and restarting. This paper describes disk-based and memory-based checkpointing fault tolerance schemes that automate the task of checkpointing and restarting. The schemes also allow the program to be restarted on a different number of processors. These schemes are based on self-checkpointable, migratable objects supported by the Adaptive MPI (AMPI) and Charm++ run-time and can be applied to a wide class of applications written using MPI or message-driven languages. We demonstrate the effectiveness of the strategies and evaluate their performance.
Original language | English (US) |
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Pages (from-to) | 90-99 |
Number of pages | 10 |
Journal | Operating Systems Review (ACM) |
Volume | 40 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2006 |
ASJC Scopus subject areas
- Information Systems
- Hardware and Architecture
- Computer Networks and Communications