The use of cloud computing in AMI system architecture

2015 ◽  
Author(s):  
K. Billewicz
Keyword(s):  
Cloud Computing ◽  
System Architecture

scholarly journals Exploration and Implementation of Intelligent Park Information System Based on Cloud Computing and Internet of Things

2019 ◽  
Vol 15 (01) ◽  
pp. 115
Author(s):  
Mao Chen ◽  
Yong Lin
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Internet Of Things ◽  
System Architecture ◽  
Service Level ◽  
Application Layer ◽  
Information System Architecture ◽  
Design And Implementation ◽  
Preliminary Study ◽  
The Internet Of Things

<span lang="EN-US">T</span><span lang="EN-US">o effectively improve the operation</span><span lang="EN-US">,</span><span lang="EN-US"> management, and service level of the intelligent park, a preliminary study and discussion is conducted on the design and implementation of the Internet of Things (IoT) information system in the intelligent park. Firstly, the hardware architecture and technical scheme of the information system of intelligent park based on Internet of things and cloud computing are proposed, and the information system architecture of the intelligent park is introduced. The construction of the system architecture is based on the three-tier architecture of perception, network and application</span><span lang="EN-US">; secondly, based on this system architecture, the functions of each component of the information system are explained from the perception layer, network layer and application layer, and some typical sensors in the system are introduced; finally, the system is analyzed experimentally.</span><span lang="EN-US">The results show that the system can realize the interconnection among various communication terminals and improve the efficiency of cooperation among various systems.</span><span lang="EN-US">It can be concluded that the information system of the intelligent park based on cloud computing and Internet of things can achieve the desired effect.</span>

Analysis of Cloud Computing and Information Security

2011 ◽  
Vol 121-126 ◽  
pp. 3810-3813 ◽  
Author(s):  
Ke Nan Wang ◽  
Shao Qian
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
System Architecture ◽  
Basic Concept ◽  
T System

The paper is to introduce the basic concept t, system architecture and the main forms of cloud computing, and analyze the opportunities and challenges brought by cloud computing to information security.

Cloud-Based Collaborative Decision Making

2012 ◽  
Vol 4 (4) ◽  
pp. 39-59 ◽  
Author(s):  
Heiko Thimm
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Decision Support ◽  
System Architecture ◽  
Group Decision ◽  
Decision Processes ◽  
Integrated System ◽  
Background Information ◽  
Collaborative Decision Making ◽  
Collaborative Decision

The complexity of many decision problems of today’s globalized world requires new innovative solutions that are built upon proven decision support technology and also recent advancements in the area of information and communication technology (ICT) such as Cloud Computing and Mobile Communication. A combination of the cost-effective Cloud Computing approach with extended group decision support system technology bears several interesting unprecedented opportunities for the development of such solutions. These opportunities include ubiquitous accessibility to decision support software and, thus, the possibility to flexibly involve remote experts in group decision processes, guided access to background information, and facilitation support to direct group decision processes. The architects of such future solutions are challenged by numerous requirements that need to be considered and reflected in an integrated architectural approach. This article presents a thorough analysis of major design considerations for software solutions for collaborative decision making from a broad range of perspectives especially including the business process management perspective and the Cloud Computing perspective. The proposed architectural approach of the GRUPO-MOD system demonstrates how one can address the requirements in one integrated system architecture that supports different deployment options of Cloud Computing. A refinement of the high-level system architecture into a corresponding implementation architecture that builds on widely adopted standards such as OSGi and industry proven technology such as the Eclipse platform is also given in the article.

Harnessing the Cloud for Mobile Social Networking Applications

2011 ◽  
pp. 508-518
Author(s):  
Juwel Rana ◽  
Josef Hallberg ◽  
Kåre Synnes ◽  
Johan Kristiansson
Keyword(s):  
Cloud Computing ◽  
Social Networking ◽  
System Architecture ◽  
Communication Services ◽  
Social Networking Services ◽  
Agent Based ◽  
Computing Model ◽  
Mobile Social Networking ◽  
Social Graphs

The cloud computing model inherently enables information from social networking services (Twitter, Facebook, LinkedIn, and so forth), context-based systems (location, activity, interests, etc.) and personal applications (call logs, contacts, email, calendar, and so forth) to be harnessed for multiple purposes. This article presents an agent-based system architecture for semantic and semi-automated applications that utilize the cloud to enrich and simplify communication services, for instance by displaying presence information, prioritizing information, and dynamically managing groups of users. The proposed architecture is based on the concept of aggregated social graphs, which are created from harnessed information about how people communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.

Design of Big Data Processing System Architecture Based on Hadoop under the Cloud Computing

2014 ◽  
Vol 556-562 ◽  
pp. 6302-6306 ◽  
Author(s):  
Chun Mei Duan
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Data Storage ◽  
System Architecture ◽  
Processing System ◽  
System Stability ◽  
Security Model ◽  
Data Processing System ◽  
Big Data Processing

In allusion to limitations of traditional data processing technology in big data processing, big data processing system architecture based on hadoop is designed, using the characteristics of quantification, unstructured and dynamic of cloud computing.It uses HDFS be responsible for big data storage, and uses MapReduce be responsible for big data calculation and uses Hbase as unstructured data storage database, at the same time a system of storage and cloud computing security model are designed, in order to implement efficient storage, management, and retrieval of data,thus it can save construction cost, and guarantee system stability, reliability and security.

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