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Future Generation Computer Systems
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2021
Data sources: DBLP
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Reliability in volunteer computing micro-blogging services

Authors: Christopher Bayliss; Javier Panadero; Laura Calvet; Joan Manuel Marquès;

Reliability in volunteer computing micro-blogging services

Abstract

Abstract Volunteer computing is a type of large-scale heterogeneous distributed system where resources necessary to run the system are donated by volunteers. A draw back of volunteer computing is the unreliability of the donated resources, so redundancy is required to guarantee the fulfillment of tasks or the availability of data In this work we consider the problem of designing a directory service policy for a Distributed Volunteer Computing Micro-Blogging Service (DVCMBS). In such services, nodes donate storage space (repositories), which is managed by a centralized directory service that decides which nodes will store replicas of blogs, ensuring their online availability when bloggers are offline. Since nodes are under no obligation to remain online, the task of a DVCMBS directory service is to allocate blog replicas to online repositories, such that the rate of availability of all blogs is maximized. At the same time, since donated storage resources are limited and directory service operations use processing resources, minimizing the number of blog replicas generated ( i . e . , the inefficiency of the directory service) is critical. We present a simulation model of a DVCMBS, which uses a probabilistic sort and select approach to select host repositories for replicas and blogs to replicate. Exhaustive computational experiments analyze the trade-off between blog replica availability and efficiency, and identify the efficient directory service policies, with respect to availability and efficiency maximization.

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    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).
    4
    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).
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    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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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!
4
Top 10%
Average
Top 10%
Green