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A Solution to k-Exclusion with O(logk) RMR Complexity
Jonathan H. Choi
Dartmouth TR2011-682

Abstract: We specify and prove an algorithm solving k-Exclusion, a generalization of the Mutual Exclusion problem. k-Exclusion requires that at most k processes be in the Critical Section (CS) at once; in addition, we require bounded exit, starvation freedom and fairness properties. The goal within this framework is to minimize the number of Remote Memory References (RMRs) made. Previous algorithms have required Omega(k) RMRs in the worst case. Our algorithm requires O(log k) RMRs in the worst case under the Cache-Coherent (CC) model, a considerable improvement in time complexity.

Note: Senior Honors Thesis; advisor: Prasad Jayanti.


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   Jonathan H. Choi, "A Solution to k-Exclusion with O(logk) RMR Complexity." Dartmouth Computer Science Technical Report TR2011-682, June 2011.

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