In this paper, we study big data-driven Cyber–Physical Systems (CPS) through cloud
platforms and design scheduling optimization algorithms to improve the efficiency of the …

In the era of big data applications, the demand for more sophisticated data centers and high-
performance data processing mechanisms is increasing drastically. Data are originally …

Spin-transfer torque magnetic RAM (STT-MRAM) is known as the most promising
replacement for static random access memory (SRAM) technology in large last-level cache …

Some systems, such as warning systems for harmful radiation detection, rescue systems,
spare parts for aircrafts, etc., may spend most of their time in storage, but once needed, must …

As process technology scales, electronic devices become more susceptible to soft error
induced by radiation. Silent data corruption (SDC) is considered the most severe outcome …

Emergence of Solid-State Drives (SSDs) have evolved the data storage industry where they
are rapidly replacing Hard Disk Drives (HDDs) due to their superiority in performance and …

Modern Web Applications rely on architectures usually designed with modular software
components whose be-haviour is shaped over fundamental principles and characteristics of …

Hybrid Multi-Level Cache Architectures (HCAs) are promising solutions for the growing need
of high-performance and cost-efficient data storage systems. HCAs employ a high endurable …

Low-latency data access is crucial in edge clouds serving autonomous vehicles. Storage I/O
caching is a promising solution to deliver the desired storage performance at a reasonable …

Distinguishing sequences are widely used in finite state machine-based conformance
testing to solve the state identification problem. In this paper, we address the scalability …