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Cooperative task computing with failures

Cooperative task computing with failures

Abstract

The problem of cooperatively performing a set of tasks in a decentralized setting where the computing medium is subject to failures is one of the fundamental problems in distributed computing. This problem is crucial in various applications, such as distributed databases, cloud computing, and peer-to-peer networks. The goal is to design algorithms that can efficiently and reliably perform tasks in the presence of failures. In this research activity, we aim to investigate the feasibility of implementing low-latency multiwriter/multi-reader (MWMR) atomic registers in asynchronous, crash-prone, message-passing systems. We will explore the trade-offs between latency, computational feasibility, and fault tolerance in the design of such registers. The outcome of this research will provide insights into the development of efficient and reliable distributed computing systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average