Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient Distributed Data Processing Article Swipe

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Seyed Esmaeil Mirvakili , MohammadAmin Fazli , Jafar Habibi ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.48550/arxiv.1902.05968

Today's most prominent IT companies are built on the extraction of insight from data, and data processing has become crucial in data-intensive businesses. Nevertheless, the size of data which should be processed is growing significantly fast. The pace of the data growing has changed the nature of data processing. Today, data-intensive industries demand highly scalable and fault tolerant data processing architectures which can handle the massive amount of data. In this paper, we presented a distributed architecture for elastic and resilient data processing based on the Liquid which is a nearline and offline big data architecture. We used the Reactive Manifesto to design the architecture highly reactive to workload changes and failures. We evaluate our architecture by drawing some numerical comparisons between our architecture prototype and the Liquid prototype. The performed evaluation shows that our architecture can be more scalable against workload and more resilient against failures than the Liquid architecture is.

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Architecture Dataflow architecture Computer science Scalability Data processing Data architecture Distributed computing Workload Space-based architecture Fault tolerance Database-centric architecture Computer architecture Applications architecture Reference architecture Systems architecture Database Parallel computing Software architecture Operating system Software Art Visual arts Dataflow

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/1902.05968
PDF: https://arxiv.org/pdf/1902.05968
OA Status: green
References: 17
Related Works: 20
OpenAlex ID: https://openalex.org/W2912302190

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DOI: https://doi.org/10.48550/arxiv.1902.05968

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Title: Reactive Liquid: Optimized Liquid Architecture for Elastic and Resilient Distributed Data Processing

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Type: preprint

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Language: en

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Publication year: 2019

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Publication date: 2019-02-15

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Authors: Seyed Esmaeil Mirvakili, MohammadAmin Fazli, Jafar Habibi

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Landing page: https://arxiv.org/abs/1902.05968

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Concepts: Architecture, Dataflow architecture, Computer science, Scalability, Data processing, Data architecture, Distributed computing, Workload, Space-based architecture, Fault tolerance, Database-centric architecture, Computer architecture, Applications architecture, Reference architecture, Systems architecture, Database, Parallel computing, Software architecture, Operating system, Software, Art, Visual arts, Dataflow

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Cited by: 0

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References (count): 17

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abstract_inverted_index.of	10, 26, 38, 46, 67
abstract_inverted_index.on	7, 84
abstract_inverted_index.to	101, 107
abstract_inverted_index.we	72
abstract_inverted_index.The	36, 129
abstract_inverted_index.and	14, 55, 79, 91, 110, 125, 142
abstract_inverted_index.are	5
abstract_inverted_index.big	93
abstract_inverted_index.can	62, 136
abstract_inverted_index.for	77
abstract_inverted_index.has	17, 42
abstract_inverted_index.is.	151
abstract_inverted_index.our	114, 122, 134
abstract_inverted_index.the	8, 24, 39, 44, 64, 85, 98, 103, 126, 148
abstract_inverted_index.data	15, 27, 40, 47, 58, 81, 94
abstract_inverted_index.from	12
abstract_inverted_index.more	138, 143
abstract_inverted_index.most	1
abstract_inverted_index.pace	37
abstract_inverted_index.size	25
abstract_inverted_index.some	118
abstract_inverted_index.than	147
abstract_inverted_index.that	133
abstract_inverted_index.this	70
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abstract_inverted_index.based	83
abstract_inverted_index.built	6
abstract_inverted_index.data,	13
abstract_inverted_index.data.	68
abstract_inverted_index.fast.	35
abstract_inverted_index.fault	56
abstract_inverted_index.shows	132
abstract_inverted_index.which	28, 61, 87
abstract_inverted_index.Liquid	86, 127, 149
abstract_inverted_index.Today,	49
abstract_inverted_index.amount	66
abstract_inverted_index.become	18
abstract_inverted_index.demand	52
abstract_inverted_index.design	102
abstract_inverted_index.handle	63
abstract_inverted_index.highly	53, 105
abstract_inverted_index.nature	45
abstract_inverted_index.paper,	71
abstract_inverted_index.should	29
abstract_inverted_index.Today's	0
abstract_inverted_index.against	140, 145
abstract_inverted_index.between	121
abstract_inverted_index.changed	43
abstract_inverted_index.changes	109
abstract_inverted_index.crucial	19
abstract_inverted_index.drawing	117
abstract_inverted_index.elastic	78
abstract_inverted_index.growing	33, 41
abstract_inverted_index.insight	11
abstract_inverted_index.massive	65
abstract_inverted_index.offline	92
abstract_inverted_index.Reactive	99
abstract_inverted_index.evaluate	113
abstract_inverted_index.failures	146
abstract_inverted_index.nearline	90
abstract_inverted_index.reactive	106
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abstract_inverted_index.tolerant	57
abstract_inverted_index.workload	108, 141
abstract_inverted_index.Manifesto	100
abstract_inverted_index.companies	4
abstract_inverted_index.failures.	111
abstract_inverted_index.numerical	119
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abstract_inverted_index.industries	51
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abstract_inverted_index.prototype.	128
abstract_inverted_index.businesses.	22
abstract_inverted_index.comparisons	120
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abstract_inverted_index.processing.	48
abstract_inverted_index.architecture	76, 104, 115, 123, 135, 150
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abstract_inverted_index.architectures	60
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cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	3
sustainable_development_goals[0].id	https://metadata.un.org/sdg/9
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citation_normalized_percentile