exabyte
简明释义
艾字节
英英释义
An exabyte is a unit of digital information storage equal to 1 quintillion bytes or 1 billion megabytes. | 一个exabyte是数字信息存储的单位,等于1千亿字节或10亿兆字节。 |
单词用法
具有exabyte容量的数据中心 | |
exabyte级别的存储解决方案 | |
exabyte的数据 | |
exabyte存储 |
同义词
反义词
千字节 | 这个文件的大小只有2兆字节。 | ||
兆字节 | 一个典型的文档可能只有几千字节。 |
例句
1.With this new resource control the total memory limit of a WPAR can be set to any value between 1 MB and 8,796,093,022,207 MB (about 8388608 TB or 8192 PB (Petabyte) or 8 EB (Exabyte)).
通过使用这种新的资源控制特性,WPAR的总内存限制可以设置为1MB到8,796,093,022,207 MB(大约8388608TB或8192PB (Petabyte)或8EB (Exabyte))之间的任何值。
2.With this new resource control the total memory limit of a WPAR can be set to any value between 1 MB and 8,796,093,022,207 MB (about 8388608 TB or 8192 PB (Petabyte) or 8 EB (Exabyte)).
通过使用这种新的资源控制特性,WPAR的总内存限制可以设置为1MB到8,796,093,022,207 MB(大约8388608TB或8192PB (Petabyte)或8EB (Exabyte))之间的任何值。
3.That may appear extreme, but one needs to consider the hierarchy of a file system that consumes an exabyte of storage.
这是极端情况,我们还需要考虑文件系统的层次结构,因为它的最大存储容量为1EB。
4.Ext4 permits exabyte file systems that can support larger Numbers of files, larger files, and deeper directory structures.
Ext4允许使用exabyte文件系统,这种系统支持的文件数量更多、体积更大、目录结构更深。
5.Online data is growing rapidly, and terms like terabyte, petabyte, and exabyte are commonly used.
在线数据快速地增长,TB (terabyte)、PB (petabyte)和EB (exabyte)以成为常用的数据单位。
6.First, ext4fs is a 64-bit file system and is designed to support very large volumes (1 exabyte).
首先,ext4fs是64位文件系统,并被设计为可以支持很大的容量(1 exabyte)。
7.Ext4 supports file systems of up to 1 exabyte in size (1000 petabytes).
ext4支持的最大文件系统为1 EB (1000 PB)。
8.Most notably, ext4 supports file systems of 1 exabyte in size.
最值得一提的是,ext4支持1EB的文件系统。
9.The total amount of data generated globally is expected to reach 175 zettabytes by 2025, which is equivalent to 175 million terabytes or 175,000 exabytes.
预计到2025年,全球产生的数据总量将达到175泽字节,相当于175百万太字节或175,000艾字节。
10.An exabyte of storage could hold the entire written works of humanity for centuries.
一个艾字节的存储可以容纳数世纪以来人类的所有书面作品。
11.Data centers are now capable of managing and processing over an exabyte of data efficiently.
数据中心现在能够高效地管理和处理超过一个艾字节的数据。
12.The internet traffic is projected to surpass one exabyte per day by the end of the decade.
预计到本十年末,互联网流量将超过一天一个艾字节。
13.In the field of genomics, researchers are generating petabytes to exabytes of data from sequencing projects.
在基因组学领域,研究人员从测序项目中生成从千兆字节到艾字节的数据。
作文
In today's digital age, the amount of data generated every second is staggering. One of the units used to measure this enormous volume of information is the exabyte, which is equivalent to one quintillion bytes, or 1,000 petabytes. To put it into perspective, an exabyte can hold approximately 50 trillion pages of standard printed text. This immense capacity makes exabyte a significant term in the field of data storage and management. The rise of the internet, social media, and IoT (Internet of Things) devices has contributed to the exponential growth of data. Every day, people upload videos, share photos, and generate content that adds to the global data pool. According to recent statistics, it is estimated that by 2025, the total amount of data created will reach 175 zettabytes, with each zettabyte consisting of 1,000 exabytes. This projection highlights the critical need for efficient data storage solutions. Data centers play a vital role in storing and processing this massive amount of information. These facilities are designed to house servers that store data in various formats, including text, images, and videos. As the demand for data storage continues to grow, companies are investing heavily in technologies that can manage exabyte-sized data efficiently. Innovations such as cloud computing, big data analytics, and artificial intelligence are becoming increasingly important in handling this vast quantity of information. The implications of managing exabyte levels of data extend beyond just storage. Businesses are harnessing the power of big data to gain insights into consumer behavior, predict trends, and improve decision-making processes. For instance, retailers analyze customer purchasing patterns using data stored in exabytes to tailor their marketing strategies and optimize inventory management. Moreover, healthcare organizations utilize large datasets to conduct research, improve patient care, and develop new treatments. However, with great data comes great responsibility. The sheer volume of information raises concerns about data privacy and security. As more data is generated and stored, the risk of data breaches and cyberattacks increases. Organizations must implement robust security measures to protect sensitive information from unauthorized access. This includes encryption, regular security audits, and compliance with data protection regulations. In conclusion, the concept of exabyte serves as a reminder of the vast landscape of data we navigate today. As technology continues to evolve, our ability to generate, store, and analyze data will only increase. Understanding the significance of exabyte and the challenges associated with managing such colossal amounts of information will be crucial for individuals and organizations alike. Embracing innovation while ensuring data security will be key to thriving in this data-driven world.
在今天的数字时代,每秒生成的数据量令人震惊。用于测量这种巨大信息量的单位之一是exabyte,相当于一个千亿字节,或1000个PB(petabyte)。为了更好地理解,1个exabyte大约可以容纳50万亿页标准印刷文本。这种巨大的容量使得exabyte在数据存储和管理领域成为一个重要的术语。 互联网、社交媒体和物联网(IoT)设备的崛起促成了数据的指数级增长。每天,人们上传视频、分享照片并生成内容,增加了全球数据池。根据最新统计,预计到2025年,生成的数据总量将达到175个zettabytes,而每个zettabyte由1000个exabytes组成。这一预测强调了对高效数据存储解决方案的迫切需求。 数据中心在存储和处理这些海量信息方面发挥着至关重要的作用。这些设施旨在容纳存储以各种格式(包括文本、图像和视频)的服务器。随着对数据存储需求的不断增长,公司正在大量投资于能够高效管理exabyte级别数据的技术。云计算、大数据分析和人工智能等创新在处理如此庞大的信息量时变得越来越重要。 管理exabyte级别数据的影响不仅限于存储。企业正在利用大数据的力量深入了解消费者行为、预测趋势并改善决策过程。例如,零售商利用存储在exabytes中的客户购买模式分析来量身定制他们的营销策略并优化库存管理。此外,医疗保健组织利用大型数据集进行研究、改善患者护理和开发新疗法。 然而,数据量的庞大带来了巨大的责任。信息的庞大体量引发了关于数据隐私和安全性的担忧。随着数据生成和存储的增加,数据泄露和网络攻击的风险也随之上升。组织必须实施强有力的安全措施,以保护敏感信息免遭未授权访问。这包括加密、定期安全审计以及遵守数据保护法规。 总之,exabyte的概念提醒我们今天所面临的广阔数据环境。随着技术的不断发展,我们生成、存储和分析数据的能力只会增加。理解exabyte的重要性及其管理如此庞大信息量所面临的挑战,对于个人和组织来说,将至关重要。在这个数据驱动的世界中,拥抱创新的同时确保数据安全,将是蓬勃发展的关键。
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