Reliability-Based Software Rejuvenation Scheduling for Cloud-Based Systems

Abstract

Abstract-The reliability and availability of a cloud-based system play an important role in evaluating its system performance. Due to the promised high reliability of physical facilities provided for cloud services, software faults have become a major factor for failures of cloud-based systems. In this paper, we focus on the software aging phenomenon where system performance may be progressively degraded due to exhaustion of system resources, fragmentation and accumulation of errors. We present a proactive technique, called software rejuvenation, to counteract the software aging problem. The dynamic fault tree (DFT) formalism is adopted to model the system reliability before and during a software rejuvenation process in an aging cloud-based system. Then it is converted into Markov Chains to derive the system reliability function. We use a case study of a cloud-based system to illustrate the validity of our approach. Based on the reliability analysis results, we show how to estimate software rejuvenation schedules that can keep the system reliability above a predefined critical level for required system availability.

A Software Reliability Model for Cloud-Based Software Rejuvenation Using Dynamic Fault Trees

“…This work extends our previously proposed approach to producing a reliability-based software rejuvenation schedule for cloud-based systems [9]. In our previous work, we use CTMC to derive the reliability function of an HSP gate for cloud-based systems.…”

Modeling of Reliability of Reliability of Functioning of Objects of Network Infrastructure of Cyber-Physical System

“…Учеными Массачусетского университета предложен метод активной реновации программного обеспечения, позволяющий строить динамическое дерево возможных ошибок в работе ПО и анализировать критерии их возникновения в процессе эксплуатации облачных сервисов и приложений [9]. Это позволяет обеспечивать надежность функционирования приложений еще до момента запуска на кибер-физических системах.…”

Predicting Software Abnormal State by using Classification Algorithm

“…Since software aging and rejuvenation have been proposed, performance degradation problems has been reported on a variety of software systems, such as web server (Rahme & Xu, 2015), database system (Cotroneo, Natella, & Pietrantuono, 2013), OLTP server, operating system (Kim, Chan, & Lee, 2014), middleware, and military system (Avritzer, Cole, & Weyuker, 2010). In order to get degradation trend of running software system, Sen's Slope Estimator was used in many researches.…”