Title: The Complexity of Synchronous Iterative Do-All with Crashes

Speaker: Chryssis Georgiou


Abstract

Do-All is the problem of performing N tasks in a distributed system of P failure-prone processors. Many distributed and parallel algorithms have been developed for this problem and several algorithm simulations have been developed by iterating Do-All algorithms.

The efficiency of the solutions for Do-All is measured in terms of work complexity where all processing steps taken by the processors are counted. Work is ideally expressed as a function of N, P, and f, the number of processor crashes. However the known lower bounds and the upper bounds for extant algorithms do not adequately show how work depends on f.

We present the first non-trivial lower bounds for Do-All that capture the dependence of work on N, P AND f. For the model of computation where processors are able to make perfect load-balancing decisions locally, we also present matching upper bounds. We define the r-iterative Do-All problem that abstracts the repeated use of Do-All such as found in algorithm simulations. Our f-sensitive analysis enables us to derive a tight bound for r-iterative Do-All work (that is stronger than the r-fold work complexity of a single Do-All).

Our approach that models perfect load-balancing allows for the analysis of specific algorithms to be divided into two parts: (i) the analysis of the cost of tolerating failures while performing work, and (ii) the analysis of the cost of implementing load-balancing. We demonstrate the utility and generality of this approach by improving the analysis of two known efficient algorithms: We give an improved analysis of an efficient message-passing algorithm (algorithm AN) and we derive a tight and complete analysis of the best known Do-All algorithm for the synchronous shared-memory model (algorithm W). Finally we present a new upper bound on simulations of synchronous shared-memory algorithms on crash-prone processors.

This is a joined work with Alexander Russell and Alex A. Shvartsman.