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Optimal Data Placement for Stripe Merging in Locally Repairable Codes

Authors: Si Wu; Qingpeng Du; Patrick P. C. Lee; Yongkun Li; Yinlong Xu;

Optimal Data Placement for Stripe Merging in Locally Repairable Codes

Abstract

This repository is created for "Optimal Data Placement for Stripe Merging in Locally Repairable Codes" , including the simulation and system implementation(./simulation and ./prototype directory). Our contribution is to propose a merging-style redundancy transition for LRC(Locally-Repairable-Code)-coded data.We Design a novel stripe placement for modern data center architecture which achieves excellent transition performance.We find that Merging-style transition is better than existed approaches in terms of generation of wide stripe and transition performance.This is the Code for our work "Optimal Data Placement for Stripe Merging in Locally Repairable Codes". If you have any question for deployment or interest in details , you can send email to duqingpeng@mail.ustc.edu.cn , it is our honor for any useful suggestions.

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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).
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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.
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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.
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