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 | Data Recovery - an overview | ScienceDirect Topics
1.2.2.3 Data recovery. At the data maintenance stage of the Cloud data life cycle, replicas could be lost due to storage failures. In order to either restore the redundancy level of the Cloud data or prevent the data from total loss, data recovery is needed. At this stage, certain mechanisms are conducted to recover the lost replicas.
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 | Data recovery in a case of fire-damaged Hard Disk Drives and Solid ...
Fortunately, the owners of the drives reacted quickly. All the drives were referred to the data recovery service immediately after they had been recovered. Before any attempts to read the data, the drives were disassembled, and their electronic components were removed and thoroughly cleaned with 99,9% isopropyl alcohol (IPA).
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 | Development and composition of a data center heat recovery system and ...
Enormous research has been devoted to the heat recovery of data center. Ebrahimi et al. [3] summarized a number of currently available and developmental low-grade waste heat recovery techniques, such as district/plant/water heating, absorption cooling, direct power generation (piezoelectric and thermoelectric), indirect power generation (steam and organic Rankine cycle), biomass co-location ...
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 | Innovative approaches for deep decarbonization of data centers and ...
The Finnish energy company Fortum will invest in the heat recovery project for the Microsoft data center, aiming to supply approximately 40% of the two cities' district heat. This project is regarded as the world's largest data center heat recovery initiative, expected to reduce annual CO 2 emissions by 400,000 tons. Furthermore, several ...
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 | Waste heat recovery in a data center with an adsorption chiller ...
Hence, the adsorption chiller, a thermally-driven chiller, is used for data center waste heat recovery [29], where initial efforts have focused on waste heat recovery from supercomputing clusters [30], [31]. A detailed interplay of system parameters, thermodynamic performance and economic benefits must be further assessed for such implementation.
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 | Big data analytics for disaster response and recovery through sentiment ...
The big data based research also analyzes about the various challenges that are involved in using Twitter data for disaster response and recovery. It is evident from the comparative analysis that the lexicons that are available for text analysis need to be extended to accommodate disaster related data.
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 | Spatial-temporal traffic speed patterns discovery and incomplete data ...
Missing data is an inevitable and ubiquitous problem in data-driven intelligent transportation systems. While there are several studies on the missing traffic data recovery in the last decade, it is still an open issue of making full use of spatial-temporal traffic patterns to improve recovery performance.
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 | A data-driven analysis of the aviation recovery from the COVID-19 ...
The recovery time for the air transport sector based on historical aviation data and available epidemic data has been extensively discussed. EUROCONTROL issued a five-year (2020–2024) forecast of the European aviation at the end of 2020, mainly depending on the availability and effectiveness of COVID-19 vaccines, along with passenger ...
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