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Semantics of an Exception Mechanism for Bulk Synchronous Parallel ML

Authors: Yulei Ding; Shuang Gao; Jianfeng Zhan; Lei Wang; Ming Zou; Hui Wang;

Semantics of an Exception Mechanism for Bulk Synchronous Parallel ML

Abstract

A communication protocol is a fundamental component of a multi-agent system. The security requirements for a communication protocol should be articulated during the early stages of software development. However, there is no formal way provided for software developers to find out what makes a communication protocol secure and what are secure designs. In this paper we propose a method that defines security requirements, bridges security requirement analysis with security design, and integrates the security techniques into a communication protocol to fulfill the security requirements.

Countries
Australia, Turkey, France, Austria
Keywords

Time estimations, Risk perception, Information retrieval systems, 1020 Informatik, Distributed queries, 102010 Datenbanksysteme, 102010 Database systems, 1020 Computer Sciences, Placement methods

  • BIP!
    Impact byBIP!
    citations
    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).
    43
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
43
Top 10%
Top 10%
Top 10%
Green