Data access is swiftly becoming a bottleneck in visual data processing, providing an
opportunity to influence the way visual data is treated in the storage system. To foster this …

The key to successful deployment of big data solutions lies in the timely distillation of
meaningful information. This is made difficult by the mismatch between volume and velocity …

We introduce the Visual Data Management System (VDMS), which enables faster access to
big-visual-data and adds support to visual analytics. This is achieved by searching for …

This paper describes Haystack, an object storage system optimized for Facebook's Photos
application. Facebook currently stores over 260 billion images, which translates to over 20 …

The growing volume of data produced continuously in the Cloud and at the Edge poses
significant challenges for large-scale AI applications to extract and learn useful information …

Serverless computing is becoming increasingly popular, enabling users to quickly launch
thousands of shortlived tasks in the cloud with high elasticity and fine-grain billing. These …

Software challenges for the changing storage landscape Page 1 136 COMMUNICATIONS OF
THE ACM | NOVEMBER 2018 | VOL. 61 | NO. 11 review articles AS WE EMBARK on a new era …

This paper proposes a novel photo storage system called NDPipe, which accelerates the
performance of training and inference for image data by leveraging near-data processing in …

Neuroimaging open-data initiatives have led to increased availability of large scientific
datasets. While these datasets are shifting the processing bottleneck from compute-intensive …

Key-value stores are everywhere. They power a diverse set of data-driven applications
across both industry and science. Key-value stores are used as stand-alone NoSQL systems …