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Data Security Framework for Data-Centers
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Data-centers play an important role in today's time for storing and maintaining huge amounts of data being generated daily and operated in real-time, to keep this data secure becomes as much important as keeping it stored. To address the current flaws in security policy of data-centers and to eradicate those flaws this paper suggest a new security framework for data-centers. This would provide data-centers with all kind of precautions and instructions to handle most of situations that may arise during management and other data related tasks and even after breaches by defining all data storage rules by classifying data, and defining data access rights with security policies for authentication and data verification. These all things make sure that data is secured and more reliable at both aspect storage as well as data authenticity in this framework for Data-Centers.
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... In terms of data volume, big data includes all data sets of enterprises. However, in terms of its scale and complexity, the existing technologies such as data collection, data management and data calculation cannot be well processed and analyzed, so corresponding big data storage and computing technologies and schemes are needed [4][5][6]. We can also define the concept of big data as: big data = massive + diversified + fast + low information density. ...
With the rapid development of computer technology and Internet, the traditional data mining methods and technologies in power industry will face great difficulties, and it is difficult to carry out accurate data processing and analysis. How to mine valuable data from a large number of original data has become a research difficulty. Aiming at this problem, this paper establishes the framework design of power enterprise central data platform based on big data. In order to further improve the actual performance of the scheme, the defects of existing algorithms are analyzed by IM_Apriori improves the calculation method, simplifies the calculation steps, reduces the calculation times, and provides technical support for enterprise data analysis. Through the analysis of the test results, when the data peak reaches 100 m, the execution time is reduced by 25s, which is obviously superior to the traditional scheme. The test results show that the design scheme in this paper has a high comprehensive performance, compared with the traditional central data platform framework, the performance has been greatly improved. Through the analysis, the research in this paper has achieved ideal results, and has made a contribution to the research on the framework design of the central data platform of power enterprises.
The rapid growth in data centres large computing infrastructures containing vast quantities of data processing and storage equipment has resulted in their consumption of up to 100 times more energy per square metre than office accommodation. The decrease in processing server sizes and the more efficient use of space and server processing are challenging data centre facilities to provide more power and cooling, significantly increasing energy demands. Energy consumption of data centres can be severely and unnecessarily high due to inadequate localised cooling and densely packed server rack layouts. However, as heat dissipation in data centres rises by orders of magnitude, inefficiencies such as air recirculation causing hot spots and flow short-circuiting will have a significant impact on the thermal manageability and energy efficiency of the cooling infrastructure. Therefore, an efficient thermal management of high-powered electronic equipment is a significant challenge for cooling of data centres. To highlight the importance of some of these issues, in this project, an operational data centre has been studied. Field measurements of temperature have been performed. Numerical analysis of flow and temperature fields is conducted in order to evaluate the thermal behaviour of the data centre. A number of undesirable hot spots have been identified. To rectify the problem, a few practical design and remedial solutions to improve the cooling effectiveness have been proposed and examined to allow a reduced air-conditioning power requirement. The findings lead to a better understanding of the cooling issues and the respective proposed solutions allow an improved design for future data centres.
The second edition of this monograph provides a systematic treatment of the design of hard disk drive servo systems updated to reflect recent improvements in spindle speed and bit density and other changes in this fast-moving field. In particular, it focuses on the applications of some newly developed results in control theory, i.e., robust and perfect tracking control and composite non-linear feedback control which are suitable for track following and seeking respectively. Emphasis is placed on hard disk drive servo systems with single- or dual-stage actuation using a voice-coil-motor actuator enhanced in the latter case by the addition of a micro-actuator providing faster responses and therefore higher bandwidth in track following. Modeling and compensation of nonlinearities and friction in microdrives, disturbance rejection and resonance compensation are also addressed. The Linear Systems and CNF MATLAB toolkits used to develop many of the results can be downloaded from the book's website.
The rising volume of electronic data, the growth in cloud computing and the need for secure and affordable large-scale data storage all contribute to the increasing reliance on data centers in society. This paper provides an overview of security issues relevant to data centers. We offer an aggregation and exploratory analysis of four audit reports of government data centers operating in the United States. Using the information security common body of knowledge to categorize audit findings, we identify the key issues from the reoccurring findings in the reports, particularly in regards to operations security, data center management, physical security, and disaster planning. The security of data centers has become a paramount concern for both government and the information technology industry. Both practitioners and academics can benefit from our research results because it provides insight into the key security issues facing modern data centers.
Two kinds of contemporary developments in cryptography are examined. Widening applications of teleprocessing have given rise to a need for new types of cryptographic systems, which minimize the need for secure key distribution channels and supply the equivalent of a written signature. This paper suggests ways to solve these currently open problems. It also discusses how the theories of communication and computation are beginning to provide the tools to solve cryptographic problems of long standing.
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