Publication

Evaluating Latency of Distributed Algorithms Using Petri Nets

1997
Conference Papers

Abstract

Evaluating Latency of Distributed Algorithms Using Petri Nets N. Sergent The time it takes to a distributed algorithm to finish (the distributed algorithm latency) cannot be directly measured in asynchronous systems if the algorithm starts and ends on different processors, since the system has no global time. A simple method to evaluate this latency is to build and simulate a unified model which includes the network and the distributed algorithm sub-models. In this paper we introduce a network model for UDP (User Datagram Protocol) which allows to establish a relationship between the number of messages exchanged in a distributed algorithm and the communication delays. As an application, we consider the two-phase commitment algorithm. Numerical results derived from simulating the model are compared with data obtained from performance measures.

Official source

https://infoscience.epfl.ch/entities/publication/9dbb2c6b-d8c9-4e46-9e4d-4b67c4da8680

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1997
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/9dbb2c6b-d8c9-4e46-9e4d-4b67c4da8680

About this result

Related concepts (32)

Distributed computing

A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another. Distributed computing is a field of computer science that studies distributed systems. The components of a distributed system interact with one another in order to achieve a common goal. Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the lack of a global clock, and managing the independent failure of components.

Distributed algorithm

A distributed algorithm is an algorithm designed to run on computer hardware constructed from interconnected processors. Distributed algorithms are used in different application areas of distributed computing, such as telecommunications, scientific computing, distributed information processing, and real-time process control. Standard problems solved by distributed algorithms include leader election, consensus, distributed search, spanning tree generation, mutual exclusion, and resource allocation.

Distributed hash table

A distributed hash table (DHT) is a distributed system that provides a lookup service similar to a hash table. Key–value pairs are stored in a DHT, and any participating node can efficiently retrieve the value associated with a given key. The main advantage of a DHT is that nodes can be added or removed with minimum work around re-distributing keys. Keys are unique identifiers which map to particular values, which in turn can be anything from addresses, to documents, to arbitrary data.

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