CERN Achieves Milestone with Over One Million Terabytes of Data Storage Capacity

Scientific institution CERN has reached a significant milestone in data storage capacity, now boasting over one million terabytes of disk space at its data centers. This achievement not only showcases the tremendous growth of data in scientific research but also highlights CERN’s commitment to advancing data-handling capabilities.

CERN’s Data Storage Setup

To accommodate this vast amount of data, CERN has split the exabyte of storage across 111,000 devices, primarily utilizing hard disks alongside an increasing percentage of flash drives. Rather than relying on specialized or expensive storage solutions, CERN uses commodity devices, which not only provide cost-effective options but also reduce the impact of potential component failures. This approach ensures a reliable and efficient data storage infrastructure.

CERN’s Software Solution: EOS

Managing such an enormous volume of data requires a robust and efficient software solution. CERN achieves this through its open-source software solution called EOS. This software orchestrates the vast array of disks, optimizing performance and data accessibility. EOS ensures the seamless functioning and organization of CERN’s data storage system, contributing to the overall efficiency of data handling.

Storage of Physics Data from the LHC

At the heart of CERN’s data storage infrastructure is the storage of physics data from the Large Hadron Collider (LHC), the world’s largest and highest-energy particle collider. The LHC generates an enormous amount of data as it explores the fundamental properties of matter and the universe. CERN’s data storage system plays a critical role in preserving this wealth of information, enabling researchers worldwide to analyze and study the results obtained from the LHC experiments.

Achieving Performance Milestones

CERN’s achievement goes beyond the sheer capacity of its storage. It marks a significant milestone in data-handling capabilities, with the combined data store’s reading rate crossing the one terabyte per second (1TBps) threshold for the first time. This exceptional performance achievement demonstrates CERN’s commitment to advancing not only data storage capacity but also the efficiency and speed at which data can be accessed and analyzed.

Impact on Future LHC Runs

By achieving such high performance and capacity in its data storage system, CERN sets new standards for high-performance storage systems in scientific research. These capabilities will have a profound impact on future LHC runs, enabling researchers to store and process increasingly vast amounts of data efficiently. The advancements in data storage capacity and speed will significantly contribute to accelerating scientific discoveries and enhancing understanding of the fundamental building blocks of our universe.

CERN’s Data Centers

CERN operates two data centers to support its data storage needs. The first is located on its campus in Geneva, Switzerland, and the second is in Budapest, Hungary. These data centers are connected through a high-speed network with minimal latency, ensuring seamless data transfer between the facilities. This robust infrastructure empowers CERN to efficiently store, manage, and analyze data generated by the LHC across its multiple locations.

CERN’s achievement in surpassing one million terabytes of data storage capacity is a testament to its unwavering dedication to scientific research. The combination of their efficient data storage setup, utilizing commodity devices and open-source software, along with the outstanding performance achieved, cements CERN’s position at the forefront of high-performance storage systems in scientific research. This milestone sets new standards for data-handling capabilities, benefiting not only ongoing and future LHC runs but also inspiring advancements in scientific research worldwide. With CERN’s ever-expanding data storage infrastructure, scientists are empowered to unlock the secrets of the universe, furthering our understanding of the mysteries that surround us.

Explore more

Why Are Big Data Engineers Vital to the Digital Economy?

In a world where every click, swipe, and sensor reading generates a data point, businesses are drowning in an ocean of information—yet only a fraction can harness its power, and the stakes are incredibly high. Consider this staggering reality: companies can lose up to 20% of their annual revenue due to inefficient data practices, a financial hit that serves as

How Will AI and 5G Transform Africa’s Mobile Startups?

Imagine a continent where mobile technology isn’t just a convenience but the very backbone of economic growth, connecting millions to opportunities previously out of reach, and setting the stage for a transformative era. Africa, with its vibrant and rapidly expanding mobile economy, stands at the threshold of a technological revolution driven by the powerful synergy of artificial intelligence (AI) and

Saudi Arabia Cuts Foreign Worker Salary Premiums Under Vision 2030

What happens when a nation known for its generous pay packages for foreign talent suddenly tightens the purse strings? In Saudi Arabia, a seismic shift is underway as salary premiums for expatriate workers, once a hallmark of the kingdom’s appeal, are being slashed. This dramatic change, set to unfold in 2025, signals a new era of fiscal caution and strategic

DevSecOps Evolution: From Shift Left to Shift Smart

Introduction to DevSecOps Transformation In today’s fast-paced digital landscape, where software releases happen in hours rather than months, the integration of security into the software development lifecycle (SDLC) has become a cornerstone of organizational success, especially as cyber threats escalate and the demand for speed remains relentless. DevSecOps, the practice of embedding security practices throughout the development process, stands as

AI Agent Testing: Revolutionizing DevOps Reliability

In an era where software deployment cycles are shrinking to mere hours, the integration of AI agents into DevOps pipelines has emerged as a game-changer, promising unparalleled efficiency but also introducing complex challenges that must be addressed. Picture a critical production system crashing at midnight due to an AI agent’s unchecked token consumption, costing thousands in API overuse before anyone