scholarly journals An Aggregatable Name-Based Routing for Energy-Efficient Data Sharing in Big Data Era

IEEE Access ◽  
2015 ◽  
Vol 3 ◽  
pp. 955-966 ◽  
Author(s):  
Ruidong Li ◽  
Hiroaki Harai ◽  
Hitoshi Asaeda
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
Energy Efficient ◽  
Efficient Data

scholarly journals Navigating big data with high-throughput, energy-efficient data partitioning

2013 ◽  
Vol 41 (3) ◽  
pp. 249-260 ◽  
Author(s):  
Lisa Wu ◽  
Raymond J. Barker ◽  
Martha A. Kim ◽  
Kenneth A. Ross
Keyword(s):  
Big Data ◽  
High Throughput ◽  
Energy Efficient ◽  
Data Partitioning ◽  
Efficient Data

scholarly journals Research and Design of Hydrological Big-data Sharing Platform

10.29007/c6pg ◽  
2018 ◽  
Author(s):  
Jian Xu ◽  
Hua Chen
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
High Speed ◽  
Mass Storage ◽  
Data Indexing ◽  
Hydrological Data ◽  
Efficient Data ◽  
Research And Design ◽  
Information Database ◽  
Data Reading

In this paper, the methodology of hydrological big-data standardization is discussed upon analyzing on the characteristics of hydrological data. Three main standards of hydrological data in China are considered in the standardization, which are respectively "Structure and identifier for real-time hydrological information database", "standard for structure and identifier in fundamental hydrological database" and "Structure and identifier for water quality database". Solutions on data pre-processing, data indexing and highly efficient data reading and writing are also introduced. The mass storage capacity and high speed computing capability of Hadoop are utilized for designing and implementing hydrological big-data sharing platform. Then a prototype of the hydrological big-data sharing platform is introduced in this article. Accordingly, the platform can be the technical support for information sharing and space integration between water conservancy industries and other industries, as well as the interdisciplinary sustainable development.

A note on energy efficient data, services and memory management in Big Data Information Systems

2015 ◽  
Vol 319 ◽  
pp. 69-70 ◽  
Author(s):  
Joanna Kołodziej ◽  
Tadeusz Burczyński ◽  
Albert Y. Zomaya
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Energy Efficient ◽  
Memory Management ◽  
Data Services ◽  
Efficient Data

Energy Efficient Data Compression in Cloud based IoT

2021 ◽  
pp. 1-1
Author(s):  
Halah Mohammed Al-Kadhim ◽  
Hamed S. Al-Raweshidy
Keyword(s):  
Data Compression ◽  
Energy Efficient ◽  
Efficient Data

Enabling Efficient Data Sharing With Auditable User Revocation for IoV Systems

2021 ◽  
pp. 1-12
Author(s):  
Jiawei Zhang ◽  
Teng Li ◽  
Mohammad S. Obaidat ◽  
Chi Lin ◽  
Jianfeng Ma
Keyword(s):  
Data Sharing ◽  
Efficient Data ◽  
User Revocation
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