A Smart Grid Data Global Placement Strategy Based on Cloud Computing

2014 ◽  
Vol 644-650 ◽  
pp. 3256-3259
Author(s):  
Yu Kai Li ◽  
Di Xin ◽  
Hong Gang Liu
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Heterogeneous Data ◽  
Simulation Software ◽  
Network Computing ◽  
Grid Data ◽  
Data Intensive ◽  
Multiple Data ◽  
Rational Distribution ◽  
Global Placement

Cloud computing is a typical network computing model.Large-scale network applications based on cloud computing presents the characteristics and trends of distributed, heterogeneous data-intensive.Smart grid is a complex system running a real-time online.It is a data-intensive applications.How to effectively integrate multiple data centers in the smart grid and let them work together in the cloud computing environment is a question.And how to make rational distribution of data in the smart grid is also a question.Therefore, we propose a global placement strategy based on genetic algorithm.And we give the data placement scheme for solving on data-intensive applications.Through simulation software CloudSim, we conducted simulation experiments and analyzed the effectiveness of the program.

scholarly journals Multi-Objective Spatial Suitability Evaluation and Conflict Optimization Considering Productivity, Sustainability, and Livability in Southwestern Mountainous Areas of China

2021 ◽  
Vol 14 (1) ◽  
pp. 371
Author(s):  
Yishu Fang ◽  
Dong Ai ◽  
Yuting Yang ◽  
Weijian Sun ◽  
Jian Zu
Keyword(s):  
Sustainable Development ◽  
Yunnan Province ◽  
Evaluation Method ◽  
Heterogeneous Data ◽  
Mountainous Area ◽  
Mountainous Areas ◽  
Analysis Model ◽  
Grid Data ◽  
Suitability Evaluation ◽  
Rational Distribution

Space is the fundamental carrier for production, living, and ecological activities, and optimizing the spatial pattern is of vital importance to promote regional sustainable development. To achieve this goal, the core issues are to identify the risks of resource and environmental constraints of development and to realize the rational distribution of human living space. Based on the integration of multisource heterogeneous data, taking Yunnan Province, a typical mountainous area in China, as an example, this research proposes a multi-object suitability evaluation method based on 50 × 50 m grid data at the provincial scale. We build a spatial conflict analysis model to identify production–living–ecological space (PLES) and propose governance suggestions for different functional areas. The results show that (1) areas suitable for ecology make up the greatest proportion of Yunnan Province, but areas with living and ecological functions show obvious spatial complementarity; (2) areas suitable for production are restricted by steep slope, geological hazards and fragmented pattern; (3) areas suitable for living is rare, and they are mainly concentrated in the plains of central Yunnan; and (4) twenty-seven percent of area has potential spatial conflicts, among which 4.38% of the area is all suitable for production–living–ecological. The production–living advantage areas are concentrated in the central Yunnan UA (Urban agglomeration), which has a high spatial overlap. These results are expected to provide valuable insights to support comprehensive multifunctional spatial utilization and sustainable development in mountainous areas.

scholarly journals biotoolsSchema: a formalized schema for bioinformatics software description

GigaScience ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jon Ison ◽  
Hans Ienasescu ◽  
Emil Rydza ◽  
Piotr Chmura ◽  
Kristoffer Rapacki ◽  
...  
Keyword(s):  
Scientific Community ◽  
Life Science ◽  
Technical Information ◽  
Heterogeneous Data ◽  
Digital Resources ◽  
Data Intensive ◽  
Research Software ◽  
Bioinformatics Software ◽  
Scientific Context ◽  
Machine Readable

Abstract Background Life scientists routinely face massive and heterogeneous data analysis tasks and must find and access the most suitable databases or software in a jungle of web-accessible resources. The diversity of information used to describe life-scientific digital resources presents an obstacle to their utilization. Although several standardization efforts are emerging, no information schema has been sufficiently detailed to enable uniform semantic and syntactic description—and cataloguing—of bioinformatics resources. Findings Here we describe biotoolsSchema, a formalized information model that balances the needs of conciseness for rapid adoption against the provision of rich technical information and scientific context. biotoolsSchema results from a series of community-driven workshops and is deployed in the bio.tools registry, providing the scientific community with >17,000 machine-readable and human-understandable descriptions of software and other digital life-science resources. We compare our approach to related initiatives and provide alignments to foster interoperability and reusability. Conclusions biotoolsSchema supports the formalized, rigorous, and consistent specification of the syntax and semantics of bioinformatics resources, and enables cataloguing efforts such as bio.tools that help scientists to find, comprehend, and compare resources. The use of biotoolsSchema in bio.tools promotes the FAIRness of research software, a key element of open and reproducible developments for data-intensive sciences.

scholarly journals The IEC 61850 Sampled Measured Values Protocol: Analysis, Threat Identification, and Feasibility of Using NN Forecasters to Detect Spoofed Packets

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3731 ◽  
Author(s):  
Mohamad El Hariri ◽  
Eric Harmon ◽  
Tarek Youssef ◽  
Mahmoud Saleh ◽  
Hany Habib ◽  
...  
Keyword(s):  
Smart Grid ◽  
Protocol Analysis ◽  
Data Detection ◽  
Detection Accuracy ◽  
Wide Spread ◽  
Grid Data ◽  
Iec 61850 ◽  
Forecasting Error ◽  
Heterogeneous Nature ◽  
Statistical Indicators

The operation of the smart grid is anticipated to rely profoundly on distributed microprocessor-based control. Therefore, interoperability standards are needed to address the heterogeneous nature of the smart grid data. Since the IEC 61850 emerged as a wide-spread interoperability standard widely accepted by the industry, the Sampled Measured Values method has been used to communicate digitized voltage and current measurements. Realizing that current and voltage measurements (i.e., feedback measurements) are necessary for reliable and secure noperation of the power grid, firstly, this manuscript provides a detailed analysis of the Sampled Measured Values protocol emphasizing its advantages, then, it identifies vulnerabilities in this protocol and explains the cyber threats associated to these vulnerabilities. Secondly, current efforts to mitigate these vulnerabilities are outlined and the feasibility of using neural network forecasters to detect spoofed sampled values is investigated. It was shown that although such forecasters have high spoofed data detection accuracy, they are prone to the accumulation of forecasting error. Accordingly, this paper also proposes an algorithm to detect the accumulation of the forecasting error based on lightweight statistical indicators. The effectiveness of the proposed methods is experimentally verified in a laboratory-scale smart grid testbed.

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