Concerning the size of logical clocks in distributed systems
Information Processing Letters
Necessary and Sufficient Conditions for Consistent Global Snapshots
IEEE Transactions on Parallel and Distributed Systems
A N algorithm for mutual exclusion in decentralized systems
ACM Transactions on Computer Systems (TOCS)
Distributed snapshots: determining global states of distributed systems
ACM Transactions on Computer Systems (TOCS)
An adaptive causal ordering algorithm suited to mobile computing environments
Journal of Parallel and Distributed Computing
On the interconnection of causal memory systems
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
An optimal algorithm for mutual exclusion in computer networks
Communications of the ACM
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
Performance Evaluation of Plausible Clocks
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Plausible clocks: constant size logical clocks for distributed systems
Distributed Computing
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In a distributed system with N processes, time stamps of size N (such as vector clocks) are necessary to accurately track potential causality between events. Plausible clocks are a family of time-stamping schemes that use smaller time stamps at the expense of some accuracy. To date, all plausible clocks have been designed to use fixed-sized time stamps, and the inaccuracy of these schemes varies from run to run. In this paper, we define a new metric, imprecision, that formally characterizes the fidelity of a plausible clock. We present a new plausible clock system that guarantees an arbitrary constant bound on imprecision. This bound is achieved by allowing time stamps to grow and shrink over the course of the computation. We verify the correctness of our algorithm, present results of a simulation study, and evaluate its performance.