In a typical distributed storage system, metadata is stored and managed by dedicated metadata servers. One way to improve the availability of distributed storage systems is to deploy multiple metadata servers. Past research focused on the active/standby model, where each active server has at least one redundant idle backup. However, interruption of service and loss of service state may occur du...

As data have been growing rapidly in data centers, deduplication storage systems continuously face challenges in providing the corresponding throughputs and capacities necessary to move backup data within backup and recovery window times. One approach is to build a cluster deduplication storage system with multiple deduplication storage system nodes. The goal is to achieve scalable throughput a...

This paper determines and compares the cost of energy (COE) of various hybrid systems for several off-grid facilities in North and Far North regions of Cameroon by integrating renewable sources and/or storage with diesel generators. The estimated annual energy production by solar PV systems and wind turbines is also discussed. The aim is to study the application of a high penetration renewable ...

For past eight years, CERN IT Database group has based its backend storage on NAS (Network-Attached Storage) architecture, providing database access via NFS (Network File System) protocol. In last two and half years, our storage has evolved from a scale-up architecture to a scale-out one. This paper describes our setup and a set of functionalities providing key features to other services like D...

This paper presents a standalone hybrid power system using wind/PV/diesel/Battery energy system with Matlab/Simulink environment. PV & Wind are the primary power sources of the system and battery is used as a backup for long run application. Here we have also compare the performance of PV/Wind/Battery connected system with PV/Wind/Diesel connected hybrid power system. The most frequently used r...

We develop a stochastic dynamic programming model that cooptimizes the use of energy storage for multiple applications, such as energy, capacity, and backup services, while accounting for market and system uncertainty. Using the example of a battery that has been installed in a home as a distributed storage device, we demonstrate the ability of the model to co-optimize services that ‘compete’ f...