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Data center-infrastructure management (DCIM) is the integration [25] of information technology (IT) and facility management disciplines [26] to centralize monitoring, management and intelligent capacity planning of a data center's critical systems. Achieved through the implementation of specialized software, hardware and sensors, DCIM enables ...
Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning based methods, and k-source anonymity. [ 2 ] This erasure is necessary as an increasing amount of data is moving to online storage, which poses a privacy risk in the situation that the device is resold to ...
Data center services encompass all of the services and facility-related components or activities that support the implementation, maintenance, operation, and enhancement of a data center, [1] which is an environment that provides processing, storage, networking, [2] management and the distribution of data within an enterprise.
A key component of the security-readiness evaluation is the policies that govern the application of security in the network including the data center. The application includes both the design best practices and the implementation details. [2] As a result, security is often considered as a key component of the main infrastructure requirement.
[21] [22] The need for data cleaning will arise from problems in the way that the datum are entered and stored. [21] Data cleaning is the process of preventing and correcting these errors. Common tasks include record matching, identifying inaccuracy of data, overall quality of existing data, deduplication, and column segmentation. [23]
The term cloud data centers (CDCs) has been used. [11] Increasingly, the division of these terms has almost disappeared and they are being integrated into the term data center. [12] The global data center market saw steady growth in the 2010s, with a notable acceleration in the latter half of the decade.
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