Distributed object storage architectures have become the de facto standard for high-
performance storage in big data, cloud, and HPC computing. Object storage deployments …

We model and evaluate the performance of a distributed key-value storage system that is
part of the Spotify backend. Spotify is an on-demand music streaming service, offering low …

Traditional approaches for storage devices simulation have been based on detailed and
analytic models. However, analytic models are difficult to obtain and detailed models require …

Predicting access times is a crucial part of predicting hard disk drive performance. Existing
approaches use white-box modeling and require intimate knowledge of the internal layout of …

This paper considers the question of saving energy in the disk drive making advantage of
diverse devices in a hybrid storage system employing flash and disk drives. The flash and …

Cloud services, which provide online entertainment, enterprise resource management, trip
planning, tax filing, etc., are becoming essential for consumers, businesses, and …

This work shows the use of parallel objects to build High Level Parallel Compositions or
HLPC and their usefulness in genomics through four case studies related to sequencing …

This paper presents a detailed development process of dynamic, discrete event simulation
model for disk array. It combines a hierarchical decomposition with the" bottom up" …

Although the cost of storage components are reported accurately by the vendors, it is not
clear whether the performance (IOps, MiBps) and power consumption (W) specifications …

Predicting access times is a crucial part of predicting hard disk drive performance. Existing
approaches use white-box modeling and require intimate knowledge of the internal layout of …