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Lexicon for Data Centres

Backup Power Systems

Backup power systems ensure uninterrupted operation in data centres during power outages or fluctuations. These systems include uninterruptible power supplies (UPS), diesel generators, and battery energy storage. They provide temporary power until primary systems are restored, protecting critical IT operations and minimizing downtime. Backup power systems are a cornerstone of data centre reliability and operational continuity.

What types of backup power systems are common?

Common types include UPS for immediate power, diesel generators for longer outages, and batteries for sustainable and scalable backup solutions.

How are they integrated into data centres?

Backup systems are often configured redundantly (e.g., N+1) to ensure reliability and seamless transition during power disruptions.

Are there sustainable options for backup power?

Yes, advancements in battery storage, such as lithium-ion systems, and renewable energy integration are making backup power systems more environmentally friendly.

Related Terms

PoP (Point of Presence)

A Point of Presence (PoP) is a physical access point in a network that connects different communication systems or networks. Typically found in data centers, PoPs enable internet service providers (ISPs), content delivery networks (CDNs), and enterprises to interconnect and exchange traffic. PoPs consist of routers, switches, servers, and other networking equipment, ensuring reliable data transmission. They are critical for enhancing network performance, reducing latency, and expanding geographic reach by bringing network services closer to end-users.

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Big Data

Big data refers to large, complex datasets that traditional data processing methods cannot effectively handle. The defining characteristics of big data are often described by the “3 Vs”: Volume (the amount of data), Velocity (the speed at which data is generated and processed), and Variety (the diverse formats and sources of data). Big data analytics involves extracting meaningful insights using advanced tools and techniques such as machine learning, data mining, and artificial intelligence. It is used in various industries for applications like predictive analytics, customer behavior analysis, and operational optimisation. Big data is critical for driving innovation and decision-making in a data-driven world.

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Cloud Computing

Cloud computing refers to the delivery of IT services, including storage, computing power, and applications, over the internet. Rather than owning and maintaining physical servers or data centers, organisations can rent access to a range of services from cloud providers. Key features of cloud computing include scalability, flexibility, cost efficiency, and global access. Cloud computing is broadly categorised into three service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It is the foundation for modern IT architectures, supporting hybrid, public, and private cloud deployments.

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