A survey on the Distributed Computing stack

In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of the latest technologies. First, we introduce the general background of Distrib...

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Vydáno v:Computer science review Ročník 42; s. 100422
Hlavní autoři: Ramon-Cortes, Cristian, Alvarez, Pol, Lordan, Francesc, Alvarez, Javier, Ejarque, Jorge, Badia, Rosa M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Inc 01.11.2021
Témata:
Cloud computing
Data Sharing
Dataflows
Distributed Computing
Distributed programming models
Distributed systems
Graph Processing
Infrastructure managers
Resource Management
Streaming
Task-based Workflows
Streaming
Cloud computing
Dataflows
Infrastructure managers
Distributed systems
Graph Processing
Task-based Workflows
Data Sharing
Distributed Computing
Distributed programming models
Resource Management
ISSN:1574-0137
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Abstract In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of the latest technologies. First, we introduce the general background of Distributed Computing and propose a layered top–bottom classification of the latest available software. Next, we focus on each abstraction layer, i.e. Application Development (including Task-based Workflows, Dataflows, and Graph Processing), Platform (including Data Sharing and Resource Management), Communication (including Remote Invocation, Message Passing, and Message Queuing), and Infrastructure (including Batch and Interactive systems). For each layer, we give a general background, discuss its technical challenges, review the latest programming languages, programming models, frameworks, libraries, and tools, and provide a summary table comparing the features of each alternative. Finally, we conclude this survey with a discussion of open problems and future directions.
AbstractList In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of the latest technologies. First, we introduce the general background of Distributed Computing and propose a layered top–bottom classification of the latest available software. Next, we focus on each abstraction layer, i.e. Application Development (including Task-based Workflows, Dataflows, and Graph Processing), Platform (including Data Sharing and Resource Management), Communication (including Remote Invocation, Message Passing, and Message Queuing), and Infrastructure (including Batch and Interactive systems). For each layer, we give a general background, discuss its technical challenges, review the latest programming languages, programming models, frameworks, libraries, and tools, and provide a summary table comparing the features of each alternative. Finally, we conclude this survey with a discussion of open problems and future directions.
ArticleNumber 100422
Author Lordan, Francesc
Ramon-Cortes, Cristian
Alvarez, Javier
Alvarez, Pol
Badia, Rosa M.
Ejarque, Jorge
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  givenname: Pol
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  givenname: Jorge
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  givenname: Rosa M.
  surname: Badia
  fullname: Badia, Rosa M.
  email: rosa.m.badia@bsc.es
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Keywords Streaming
Cloud computing
Dataflows
Infrastructure managers
Distributed systems
Graph Processing
Task-based Workflows
Data Sharing
Distributed Computing
Distributed programming models
Resource Management
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Snippet In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a...
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StartPage 100422
SubjectTerms Cloud computing
Data Sharing
Dataflows
Distributed Computing
Distributed programming models
Distributed systems
Graph Processing
Infrastructure managers
Resource Management
Streaming
Task-based Workflows
Title A survey on the Distributed Computing stack
URI https://dx.doi.org/10.1016/j.cosrev.2021.100422
Volume 42
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