IEEE Transactions on Big Data 杂志投稿-刊鹿论文编译

A Survey on Geographically Distributed Big-Data Processing Using MapReduce

Abstract:

Hadoop and Spark are widely used distributed processing frameworks for large-scale data processing in an efficient and fault-tolerant manner on private or public clouds. These big-data processing systems are extensively used by many industries, e.g., Google, Facebook, and Amazon, for solving a large class of problems, e.g., search, clustering, log analysis, different types of join operations, matrix multiplication, pattern matching, and social network analysis. However, all these popular systems have a major drawback in terms of locally distributed computations, which prevent them in implementing geographically distributed data processing. The increasing amount of geographically distributed massive data is pushing industries and academia to rethink the current big-data processing systems. The novel frameworks, which will be beyond state-of-the-art architectures and technologies involved in the current system, are expected to process geographically distributed data at their locations without moving entire raw datasets to a single location. In this paper, we investigate and discuss challenges and requirements in designing geographically distributed data processing frameworks and protocols. We classify and study batch processing (MapReduce-based systems), stream processing (Spark-based systems), and SQL-style processing geo-distributed frameworks, models, and algorithms with their overhead issues.

Author Listing： Shlomi Dolev;Patricia Florissi;Ehud Gudes;Shantanu Sharma;Ido Singer

Volume： 5

Pages： 60-80

DOI： 10.1109/TBDATA.2017.2723473

Language： English

Journal： IEEE Transactions on Big Data

IEEE Transactions on Big Data

IEEE T BIG DATA

影响因子：7.5

是否综述期刊：否

是否OA：否

是否预警：不在预警名单内

发行时间：-

ISSN：2332-7790

发刊频率：-

收录数据库：SCIE/Scopus收录

出版国家/地区：UNITED STATES

出版社：IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

期刊介绍

年发文量	118
国人发稿量	96
国人发文占比	81.36%
自引率	4.0%
平均录取率	-
平均审稿周期	-
版面费	US$2195
偏重研究方向	Multiple-
期刊官网	-
投稿链接	-

质量指标占比

研究类文章占比	OA被引用占比	撤稿占比	出版后修正文章占比
100.00%	11.22%	0.00%	0.00%

预警情况

时间	预警情况
2024年02月发布的2024版	不在预警名单中
2023年01月发布的2023版	不在预警名单中
2021年12月发布的2021版	不在预警名单中
2020年12月发布的2020版	不在预警名单中

JCR分区 WOS分区等级：Q1区

版本	按学科	分区
WOS期刊SCI分区（2021-2022年最新版）
	COMPUTER SCIENCE, THEORY & METHODS	Q1
	COMPUTER SCIENCE, INFORMATION SYSTEMS	Q1

中科院分区

版本	大类学科	小类学科	Top期刊	综述期刊
	计算机科学 2区	COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 2区 COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法 2区	否	否
2021年12月基础版	工程技术 3区	COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 3区 COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法 2区	否	否
2021年12月升级版	计算机科学 2区	COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 2区 COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法 2区	否	否
2022年12月最新升级版	计算机科学 3区	COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 3区 COMPUTER SCIENCE, THEORY & METHODS 计算机：理论方法 2区	否	否