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Organic Multiphoton Absorbing Materials and Devices
Published in Sam-Shajing Sun, Larry R. Dalton, Introduction to Organic Electronic and Optoelectronic Materials and Devices, 2016
Kevin D. Belfield, Sheng Yao, Mykhailo V. Bondar
Data is being generated at a remarkably explosive rate. For example in 2002 alone, 5 EB (5 billion GB) of new data was generated worldwide and has been growing rapidly. A key driving force is expected to be the rapid expansion of the Internet and multimedia, such as high definition television (HDTV) with their requirements for higher bandwidth and storage capacity. Commercially, two types of data storage systems are used, i.e., magnetic and optical data storage technologies. On comparing these two techniques, high performance magnetic recording does not generally support removability, hard drives need not work with the media of previous generations, and the main standards needed to be satisfied are those on data input/output and form factor.
Role of IoT, AI, and Big Data Analytics in Healthcare Industry
Published in Pushpa Singh, Divya Mishra, Kirti Seth, Transformation in Healthcare with Emerging Technologies, 2022
P. Sriramalakshmi, Srimathnath Thejasvi Vondivillu, A. Sri Krishna Govind
First, let’s understand what cloud storage is. Cloud storage is a type of data storage in which the data is stored in “the cloud,” which is composed of multiple servers, sometimes over multiple locations, where the physical environment is owned and managed by a “hosting company.” The hosting company is responsible for the data stored and is required to keep the data available, accessible, and protected. Most people and organizations that use this service often buy or lease a certain amount of storage capacity.53 Some of the hosting companies also offer a pay-as-you-go model (e.g., Amazon Web Service [AWS] and Microsoft Azure) to incentivize smaller businesses or individuals.54
Managing Software Facilities, Reuse and Tools
Published in Marvin Gechman, Project Management of Large Software-Intensive Systems, 2019
Cloud Storage. With the emergence of cloud computing, the entire approach to the storage and retrieval of data is changing. Cloud storage is an industry term for managed data storage through hosted networks in which data is stored on remote servers, typically accessed from the Internet, referred to as the "cloud." Data storage on the cloud can be maintained, operated and managed by cloud storage service providers (referred to as a public cloud) or in your organization’s internal cloud (called a private cloud).
Anomaly Detection Model for Predicting Hard Disk Drive Failures
Published in Applied Artificial Intelligence, 2021
Sladjana M. Djurasevic, Uros M. Pesovic, Borislav S. Djordjevic
HDDs have been primary technology for computer data storage for several decades. Newly emerging SSDs (Solid State Drives), based on semiconductor storage, surpass HDDs in terms of response time and throughput performance. On the other hand, HDDs are dozen times cheaper per stored byte than SSDs (Appuswamy et al. 2017), and it is still the predominant data storage medium both in the enterprise and consumer market. The electromechanical design of the HDD renders it more susceptible to failures than other components of the computer system, with an average annual failure rate of HDDs in the range from 0.3 to 3%. The HDD failure generally leads to permanent data loss and typically the cost of losing data exceeds that of HDD itself. Reliability of data storage on HDD is significantly improved using RAID (Redundant Array of Independent Disks) technology which provides data retention in case one or more HDDs in RAID array had failed. RAID technology is commonly used in enterprise computer systems given its considerable cost and multiple-HDD requirement in forming a redundant array. Typical computer systems for consumer market utilize a single HDD. The prediction of HDD failure can be very useful in preventing data loss as it allows for data backup in case of imminent HDD failure warning.
Highly Available Nuclear Power for Mission-Critical Applications
Published in Nuclear Technology, 2020
Jeremiah Doyle, Brandon Haley, Bill Galyean, Daniel T. Ingersoll
Just as Redundant Array of Independent Disks (RAID) systems provide highly reliable data storage, the Redundant Array of Integral Reactors (RAIR) in the NuScale plant can assure sustained power generation. In RAID data storage, storage capacity is traded for reliability through simultaneous storage of identical data in multiple locations. The redundancy and independence of data create inherent security in the system that the information can be retrieved when desired. Individual disks can even be “hot swapped,” meaning the disk can be replaced while the storage system is operating without loss of data. The design of the NuScale plant is similar to a RAID. A NuScale plant is a RAIR of up to 12 NPMs, each operating in a similar and independent fashion to achieve an identical mission: power generation. This redundancy allows NPMs to be hot swapped; i.e., they can be removed from operation for refueling or maintenance while the other NPMs continue to produce power. Therefore, power output from a NuScale power plant can be assured at varying confidence levels, albeit at a reduced total power level, throughout the lifetime of the plant.