A Cloud Computing Based District Power Grid Dispatching and Control Integrated Standby Framework

Author(s):  
Zhenyu Chen ◽  
Lixin Li ◽  
Dapeng Li ◽  
Fangchun Di ◽  
Xingyu Gao ◽  
...  
2015 ◽  
Vol 22 ◽  
pp. 03009
Author(s):  
Lijun Feng ◽  
Junliu Zhang ◽  
Peilin Chen ◽  
Mingdi Li ◽  
Xingquan Zhao ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2664 ◽  
Author(s):  
Luis Belem Pacheco ◽  
Eduardo Pelinson Alchieri ◽  
Priscila Mendez Barreto

The use of Internet of Things (IoT) is rapidly growing and a huge amount of data is being generated by IoT devices. Cloud computing is a natural candidate to handle this data since it has enough power and capacity to process, store and control data access. Moreover, this approach brings several benefits to the IoT, such as the aggregation of all IoT data in a common place and the use of cloud services to consume this data and provide useful applications. However, enforcing user privacy when sending sensitive information to the cloud is a challenge. This work presents and evaluates an architecture to provide privacy in the integration of IoT and cloud computing. The proposed architecture, called PROTeCt—Privacy aRquitecture for integratiOn of internet of Things and Cloud computing, improves user privacy by implementing privacy enforcement at the IoT devices instead of at the gateway, as is usually done. Consequently, the proposed approach improves both system security and fault tolerance, since it removes the single point of failure (gateway). The proposed architecture is evaluated through an analytical analysis and simulations with severely constrained devices, where delay and energy consumption are evaluated and compared to other architectures. The obtained results show the practical feasibility of the proposed solutions and demonstrate that the overheads introduced in the IoT devices are worthwhile considering the increased level of privacy and security.


2015 ◽  
Vol 40 (3) ◽  
pp. 362-378 ◽  
Author(s):  
Jianyang Zhao ◽  
Weihong Ding ◽  
Lingwei Zhan ◽  
Heshuai Shao ◽  
Chengfu Sun ◽  
...  

2021 ◽  
Author(s):  
Tianrui Pang ◽  
Jiping Jiang ◽  
Fengyuan Zhang ◽  
Harsh Yadav ◽  
Yunlei Men ◽  
...  

<p>In the era of smart city, developing environmental decision support system (EDSS) integrated with monitoring, modelling, planning and control for smart management of urban river water quality has been widely accepted and implemented around the world. Construction and coupling localized water quality models, such as popular WASP and EFDC by USEPA, to meet different management requirements are fundamental for the surface water EDSS development. However, few reported the technique coupling the advanced version of WASP program with EDSS platform. </p><p>Traditional pathway of EDSS integrations or model coupling, e.g. database-oriented interaction, are non-modular, with low efficiency of share and reuse, and difficult for system updating. With the development of cloud computing and web services, the service-oriented design are the future trends of model coupling.</p><p>In this paper, a generic interface/module interacting with WASP V7.5 program is developed and the technical route of tightly coupling is proposed. The web service encapsulation of localized WASP models and advanced cloud computing services are implemented with the help of OpenGMS framework and SaaS (software as services) pattern. To meet the basic requirements of urban water quality management, the water assimilative capacity allocation and pollution load reduction planning are work out by the cloud computing services, which achieves operational running of EDSS.</p><p>The study area is located in Maozhou River Basin, an urban river in Shenzhen, China. According to the national water environment code and regulations, COD (chemical oxygen demand) and NH3-N (ammonia nitrogen) are set as the ending point for supervision and the corresponding WASP model of Maozhou River is constructed and calibrated by historical field data. The computing components and web-services are integrated into the comprehensive water quality management platform of Maozhou River through the model configuration and controlling data parameterization. One version of the Maozhou River EDSS has been deployed and is online on the Shenzhen ecological and environmental intelligent management and control center since January, 2021.</p><p>Along with WASP, service-oriented encapsulating of EFDC and SWMM based computing components for particular management purposes are also implemented based on the same technique route since both of them are developed by USEPA with similar inputs and outputs. The technology of model coupling and platform integration mentioned in this paper provides a valuable paradigm for linking other environment models into specific management business. Under the proposed technical pathway, the interaction of model interface between computation engine and system business layer can be easily updated along with the changes of management requirements. It provides the merits of rapidly development, easily deployment and maintenance.</p>


2015 ◽  
Vol 12 (1) ◽  
pp. 153-167 ◽  
Author(s):  
Hui Du ◽  
Yu Cong

ABSTRACT Using a unique dataset obtained from cloud computing providers' websites, we study cloud computing from the cloud users' perspective. While cloud computing providers promise various benefits for companies to “go cloud,” whether user companies are motivated by the potential benefits is a different matter. Although existing IT outsourcing literature and the latest cloud computing research suggest financial, system, and control as three main motives for companies to go cloud, MIS literature and business strategy studies point out the agility of quick system deployment as another significant consideration. We examine these four categories of motives, along with more detailed key motives developed in each category. Our results indicate that companies are motivated by multifold benefits in all four aspects of agility, financial, system, and control. However, despite various benefits promised by cloud computing providers, from the cloud computing users' perspective, the agility of quick system deployment and saving on costs appear to be the two primary motives. Data Availability: Data are publicly available from the sources identified in the paper.


2018 ◽  
pp. 980-1002
Author(s):  
Mohammad Ali Shalan

Mobile Cloud Computing (MCC) is increasingly asserted as the technology with the potential to change the way internet and information systems are being utilized into business enterprises. It is rapidly changing the landscape of technology, and ultimately turning the long-held promise of utility computing into a reality. Nevertheless, utilizing MCC is never a trivial task, thus calling for a special approach to get the benefits, reduce risks and control operations. The main objective of this chapter is to provide some specific guidelines to provide governance directions to align MCC into enterprise strategy and reduce risks resulted from utilizing middle circle providers; In this context, this chapter also promote and discuss some ethics that help client enterprises and MCC providers understand roles and obligations in an ever changing environment.


2018 ◽  
Vol 173 ◽  
pp. 02029
Author(s):  
XU Jiahui ◽  
YU Hongyuan ◽  
WANG Gang ◽  
WANG Zi ◽  
BAI Jingjie ◽  
...  

The rapid development of mobile Internet technology and the wide spread of smart terminals have brought opportunities for the transformation of power grid business model. Compared to the non-real-time information, the real-time and running data of dispatch and control domain is easy to be intercepted and cracked. To solve this problem, this paper presents a new approach to mobile application security framework for the power grid control field. It is to realize secondary encryption by using the method of MD5+AES mixed encryption algorithm and combining the time stamp in real-time data transmission process. At the same time it is to prevent cross-border operations and brute force by using Token authentication and Session technology. China EPRI safety test results show that the application of the framework significantly improves the integrity, safety and reliability of real-time data in power grid control.


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