Sigma: a Scalable High Performance Big Data Architecture

被引：1
|
作者：
Cassavia, Nunziato [1 ]
Masciari, Elio [2 ,3 ]
机构：
[1] ICAR CNR, Arcavacata Di Rende, Italy
[2] Univ Federico II, DIETI, Naples, Italy
[3] ICAR CNR, Naples, Italy
来源：
2021 29TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING (PDP 2021) | 2021年
关键词：
D O I：
10.1109/PDP52278.2021.00044
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new architecture, named Sigma (as Sigma uppercase usually denote a sum and this architecture is a summarization of Lambda and Kappa), is proposed to provide a solution for build a complete Big Data System, interactive and scalable, using a variety of tools and techniques. The architecture have been tested in a real life scenario and the early results obtained are quite encouraging both on scalability and high performance.
引用
收藏
页码：236 / 239
页数：4
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