The data-center is considered the heart of cloud computing. Recently, the growing demand
for cloud computing services has caused a growing load on data centers. In terms of system …

Traditional system reliability models often ignore failure dependency between subsystems
and the existence of system failure masked data, thereby they can't accurately reflect the …

Distributed systems are usually designed and developed to provide certain important
services such as in computing and communication systems. In this paper, a general model is …

Apart from hardware and software-specific failures, failures arising from hardware–software
interaction causes notorious system failures. Researches have reported two types of …

System availability is a major performance concern in distributed systems design and
analysis. A typical kind of application on distributed systems has a homogeneously …

We classify system failures into three categories: hardware failures, software failures, and
hardware-software interaction failures. We develop a unified reliability model that accounts …

High availability is a critical requirement for cloud applications: if a system does not have
high availability, users cannot count on it for their critical work. Having a metric that …

Most software reliability models assume independence of successive software runs. It is a
strict assumption, and usually not valid in reality. Goseva-Popstojanova & Trivedi (2000) …

Fail-stop errors and Silent Data Corruptions (SDCs) are the most common failure modes for
High Performance Computing (HPC) applications. There are studies that address fail-stop …

In the past few decades, a great number of hardware and software reliability models have
been proposed to address hardware failures in hardware subsystems and software failures …