An Almost Tight RMR Lower Bound for Abortable Test-And-Set

We prove a lower bound of Omega(log n/log log n) for the remote memory reference (RMR) complexity of abortable test-and-set (leader election) in the cache-coherent (CC) and the distributed shared memory (DSM) model. This separates the complexities of abortable and non-abortable test-and-set, as the latter has constant RMR complexity [Wojciech Golab et al., 2010]. Golab, Hendler, Hadzilacos and Woelfel [Wojciech M. Golab et al., 2012] showed that compare-and-swap can be implemented from registers and test-and-set objects with constant RMR complexity. We observe that a small modification to that implementation is abortable, provided that the used test-and-set objects are atomic (or abortable). As a consequence, using existing efficient randomized wait-free implementations of test-and-set [George Giakkoupis and Philipp Woelfel, 2012], we obtain randomized abortable compare-and-swap objects with almost constant (O(log^* n)) RMR complexity

Solo-Fast Universal Constructions for Deterministic Abortable Objects

International audienc

On the cost of composing shared-memory algorithms

Decades of research in distributed computing have led to a variety of perspectives on what it means for a concurrent algorithm to be efficient, depending on model assumptions, progress guarantees, and complexity metrics. It is therefore natural to ask whether one could compose algorithms that perform efficiently under different conditions, so that the composition preserves the performance of the original components when their conditions are met. In this paper, we evaluate the cost of composing shared-memory algorithms. First, we formally define the notion of safely composable algorithms and we show that every sequential type has a safely composable implementation, as long as enough state is transferred between modules. Since such generic implementations are inherently expensive, we present a more general light-weight specification that allows the designer to transfer very little state between modules, by taking advantage of the semantics of the implemented object. Using this framework, we implement a composed long-lived test-and-set object, with the property that each of its modules is asymptotically optimal with respect to the progress condition it ensures, while the entire implementation only uses objects with consensus number at most two. Thus, we show that the overhead of composition can be negligible in the case of some important shared-memory abstractions

Looking for Efficient Implementations of Concurrent Objects

As introduced by Taubenfeld, a contention-sensitive implementation of a concurrent object is an implementation such that the overhead introduced by locking is eliminated in the common cases, i.e., when there is no contention or when the operations accessing concurrently the object are non-interfering. This paper, that can be considered as an introductory paper to this topic, presents a methodological construction of a contention-sensitive implementation of a concurrent stack. In a contention-free context a push or pop operation does not rest on a lock mechanism and needs only six accesses to the shared memory. In case of concurrency a single lock is required. Moreover, the implementation is starvation-free (any operation is eventually executed). The paper, that presents the algorithms in an incremental way, visits also a family of liveness conditions and important concurrency-related concepts such as the notion of an abortable object

The Next 700 BFT Protocols

International audienceCet article présente un framework permettant de faciliter le développent de protocoles de réplication de machines à états tolérant les fautes byzantines

The Next 700 BFT Protocols

International audienceCet article présente un framework permettant de faciliter le développent de protocoles de réplication de machines à états tolérant les fautes byzantines

Stateful Multi-Client Verifiable Computation

This paper develops a cryptographic protocol for outsourcing arbitrary stateful computation among multiple clients to an untrusted server, while guaranteeing integrity of the data. The clients communicate only with the server and store only a short authenticator to ensure that the server does not cheat. Our contribution is two-fold. First, we extend the recent hash&prove scheme of Fiore et al. (CCS 2016) to stateful computations that support arbitrary updates by the untrusted server, in a way that can be verified by the clients. We use this scheme to generically instantiate authenticated data types. Second, we describe a protocol for multi-client verifiable computation based on an authenticated data type, and prove that it achieves a computational version of fork linearizability. This is the strongest guarantee that can be achieved in the setting where clients do not communicate directly; it ensures correctness and consistency of outputs seen by the clients individually