By Andrzej Pelc (auth.), David Peleg (eds.)
This ebook constitutes the refereed lawsuits of the twenty fifth overseas Symposium on dispensed Computing, DISC 2011, held in Rome, Italy, in September 2011. The 31 revised complete papers offered including invited lectures and short bulletins have been rigorously reviewed and chosen from 136 submissions. The papers are prepared in topical sections on disbursed graph algorithms; shared reminiscence; short bulletins; fault-tolerance and safeguard; paxos plus; instant; community algorithms; points of locality; consensus; concurrency.
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Additional resources for Distributed Computing: 25th International Symposium, DISC 2011, Rome, Italy, September 20-22, 2011. Proceedings
The more concurrent algorithms, such as parallel FC and ours, show scaling trends similar to the single chip ones, but achieve lower throughput. In the rest of the section we therefore focus on the more interesting single chip case. 1 : N asymmetric workloads: The throughput of one producer rendezvousing with a varying number of consumers is presented in Figs. 3a and 4c. Nehalem results (Fig. 4c) are again similar and not discussed in detail. Since the throughput is bounded by the rate of a single producer, little scaling is expected and observed.
C’s resizing CAS (Line 69) either succeeds or fails due to another CAS that succeeded in increasing, because the ring size decreasing implies a rendezvous completing, which by our assumption does not occur. Once the ring size reaches T , the ring has room for c (since T is the maximum number of threads). Thus c fails to capture a node only by encountering another consumer twice at diﬀerent nodes, implying Fast and Scalable Rendezvousing 23 this consumer completes a rendezvous, a contradiction. It therefore cannot be that c never captures a node.
Hendler, Shavit and Yerushalmi used elimination with an adaptive scheme inspired by Shavit and Zemach  to obtain a scalable linearizable stack . In their scheme threads adapt locally: each thread picks a slot to collide in from sub-range of the collision layer centered around the middle of the array. If no partner arrives, the thread eventually shrinks the range. Alternatively, if the thread sees a waiting partner but fails to collide due to contention, it increases the range. In our adaptivity technique, described in Sect.
Distributed Computing: 25th International Symposium, DISC 2011, Rome, Italy, September 20-22, 2011. Proceedings by Andrzej Pelc (auth.), David Peleg (eds.)