Design of Distribute Monitoring Platform Base on Cloud Computing

2014 ◽  
Vol 687-691 ◽  
pp. 1076-1079
Author(s):  
Qi Sun ◽  
Hui Yan Zhao
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Mass Measurement ◽  
Measurement Data ◽  
Distributed Network ◽  
Computing Platform ◽  
Analytical Processing ◽  
Cloud Computing Platform ◽  
Measurement Infrastructure ◽  
Processing Mechanism

Based on cloud computing distributed network measurement system compared to traditional measurement infrastructure, the use of cloud computing platform measurement data stored in massive large virtual resource pool to ensure the reliability of data storage and scalability, re-use cloud computing platform parallel processing mechanism, the mass measurement data for fast, concurrent analytical processing and data mining. Measuring probe supports a variety of different measurement algorithms deployed to support a variety of data acquisition formats, in the measurement method provides a congestion response policies and load balancing strategies.

An IoT-Oriented Data Storage Framework in Cloud Computing Platform

2014 ◽  
Vol 10 (2) ◽  
pp. 1443-1451 ◽  
Author(s):  
Lihong Jiang ◽  
Li Da Xu ◽  
Hongming Cai ◽  
Zuhai Jiang ◽  
Fenglin Bu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Computing Platform ◽  
Cloud Computing Platform

Research of Smart Meter Massive Data Storage Based on Cloud Computing Platform

2013 ◽  
Vol 341-342 ◽  
pp. 1434-1438
Author(s):  
Weng Ting Li ◽  
Yan Zheng ◽  
Shao Bo Liu ◽  
Zhao Zhi Long ◽  
Zhi Cheng Li
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Data Storage ◽  
Massive Data ◽  
Smart Meter ◽  
Smart Meters ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Distributed Computing Platform ◽  
Grid Operation

With the comprehensive construction of the smart grid, the smart grid operation control and interactive service system will be initially formed. The smart terminal of smart grid are smart meters, and they produce a large number of various data all the time. That how to most effectively manage these massive data storage is an important research point for improving the intelligence service. This paper studies the smart meter massive data storage management based on cloud computing platform. The Hadoop distributed computing platform for smart meter massive data management is reliable, efficient, scalable storage.

A Comprehensive Security Strategy Applying to the Total Life Cycle of Cloud Computing Data Center

2014 ◽  
Vol 556-562 ◽  
pp. 6259-6261
Author(s):  
Zhao Yang Dong ◽  
Lin Zhang
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
Data Storage ◽  
Data Center ◽  
Cloud Service ◽  
Security Measures ◽  
Security Issues ◽  
Computing Platform ◽  
Authentication And Authorization ◽  
Cloud Computing Platform

Aiming at the security issues of cloud computing data center, the systematic security construction architecture of cloud computing data center is proposed. By surrounding the key aspects of security construction, such as infrastructure security, virtual security, cloud authentication and authorization, data isolation and protection, cloud platform and cloud service security, security operation maintenance, cloud computing platform migration, and disaster recovery backup, the security architecture constructs a multi-level, multi-angle tridimensional defense system in depth. It ensures the life cycle security for resource services of the cloud computing data center. Many key problems are further discussed in detail, such as the problem of data storage security, security domain isolation, cloud computing platform tenants accessing, and terminal accessing. This paper provides reference for the security construction of cloud computing data center, and gives guide to the implementation of the relevant security measures.

Power Management of Virtualized Cloud Computing Platform

2012 ◽  
Vol 35 (6) ◽  
pp. 1262 ◽  
Author(s):  
Ke-Jiang YE ◽  
Zhao-Hui WU ◽  
Xiao-Hong JIANG ◽  
Qin-Ming HE
Keyword(s):  
Cloud Computing ◽  
Power Management ◽  
Computing Platform ◽  
Cloud Computing Platform

Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform

2020 ◽  
Vol 29 (2) ◽  
pp. 1-24
Author(s):  
Yangguang Li ◽  
Zhen Ming (Jack) Jiang ◽  
Heng Li ◽  
Ahmed E. Hassan ◽  
Cheng He ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Node Failures

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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