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Analysis of the influence of errors in DNA-based image coding

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Towards learning-based image compression for storage on DNA support

Touradj Ebrahimi, Michela Testolina

The demand for data storage has grown exponentially over the past decades. Current archival solutions have significant shortcomings, such as high resource requirements and a lack of sufficient longevity. In contrast, research on DNA-based storage has been ...

2023

What about Diamond Open Access?

Guillaume Anciaux

Diamond Open Access is a scholarly publishing model characterized by journals and platforms that do not impose fees nor on authors neither on readers. These journals typically operate as community-driven, academically-led, and academically-owned initiative ...

2023

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Data lakes are complex ecosystems where heterogeneity prevails. Raw data of diverse formats are stored and processed, while long and expensive ETL processes are avoided. Apart from data heterogeneity, data lakes also entail hardware heterogeneity. Typical ...

2021

Unfolding the prospects of computational (bio)materials modeling

Ignacio Pagonabarraga Mora

In this perspective communication, we briefly sketch the current state of computational (bio)material research and discuss possible solutions for the four challenges that have been increasingly identified within this community: (i) the desire to develop a ...

AMER INST PHYSICS2020

An Architecture for Load Balance in Computer Cluster Applications

Laurent Bindschaedler

Amid a data revolution that is transforming industries around the globe, computing systems have undergone a paradigm shift where many applications are scaled out to run on multiple computers in a computing cluster. As the storage and processing capabilitie ...

EPFL2020

Caching and Distributed Storage

Saeid Sahraei

A simple task of storing a database or transferring it to a different point via a communication channel turns far more complex as the size of the database grows large. Limited bandwidth available for transmission plays a central role in this predicament. I ...

EPFL2018

Practical erasure codes for storage systems: The study of entanglement codes, an approach that propagates redundancy to increase reliability and performance

Verónica del Carmen Estrada Galiñanes

This dissertation deals with the design of practical erasure codes for storage systems. Hardware and logical disk failures are a common source of system failures that may lead to data loss. Nevertheless, it is predicted that spinning disks would remain the ...

University of Neuchâtel2017

As storage hardware evolves, the systems and components which interact with them must adapt as well. Outdated assumptions at the operating system level necessitate a dramatic rethinking of the storage path as emerging storage technology offer performance s ...

2017

Non-volatile memory (NVM) technologies such as PCM, ReRAM and STT-RAM allow processors to directly write values to persistent storage at speeds that are significantly faster than previous durable media such as hard drives or SSDs. Many applications of NVM ...

ACM2017

Simplex Queues for Hot-Data Download

Elie Najm, Emina Soljanin

In cloud storage systems, hot data is usually replicated over multiple disks/servers in order to accommodate simultaneous access by multiple users as well as increase the fault tolerance of the system. Recent cloud storage research has proposed using avail ...

2017