Lifetime Extension of Software Execution Subject to Aging

Machida, Fumio; Xiang, Jianwen; Tadano, Kin‐ichi; Maeno, Yoshiharu

doi:10.1109/tr.2016.2615880

Cited by 30 publications

(28 citation statements)

References 31 publications

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“…Reliability of cloud-based systems with multiple software spare components has been studied in [44]. Similar researches can be found in [45][46][47][48][49][50]. Table 2 (see appendix) presents the summary of previous works in the area of software detection.…”

Section: Software Aging Detection Techniquesmentioning

confidence: 82%

An analysis of software aging in cloud environment

Shruthi¹,

Cholli²

2020

IJECE

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Cloud Computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud service segments that communicate with each other using the interfaces. This creates distributed computing environment. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. This issue cannot be determined during software testing phase because of the dynamic nature of operation. The errors that cause software aging are of special types. These errors do not disturb the software functionality but target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or re-initiates the softwares. This avoids faults or failure. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Hence, it avoids future failures of system that may happen due to software aging. As service availability is crucial, software rejuvenation is to be carried out at defined schedules without disrupting the service. The presence of Software rejuvenation techniques can make software systems more trustworthy. Software designers are using this concept to improve the quality and reliability of the software. Software aging and rejuvenation has generated a lot of research interest in recent years. This work reviews some of the research works related to detection of software aging and identifies research gaps.

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Section: Software Aging Detection Techniquesmentioning

confidence: 82%

An analysis of software aging in cloud environment

Shruthi¹,

Cholli²

2020

IJECE

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“…The past years witnessed significant efforts made for analytical model-based evaluation of AS availability and/or job completion time. See [13], [22]- [31] and references therein.…”

Section: Related Workmentioning

confidence: 99%

“…There were modeling-based studies [28]- [31] in which some time intervals followed general distributions. Machida et al [28] captured the aging and rejuvenation behaviors of a server virtualized system by using SMP models.…”

Section: Machida and Miyoshimentioning

confidence: 99%

“…They often assumed that all the time intervals follow exponential distributions [22]- [27]. Moreover, while many studies focused on analyzing either AS availability or job completion time [28]- [30], a few papers analyzed both of AS availability and job completion time together in a system [31], [32]. In particular, none of the existing analytical models has analyzed both AS availability from the service provider view and job completion time from the user view in an SV-based system using live VM migration.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Software Rejuvenation Techniques in a Virtualized System: Service Provider and User Views

et al. 2020

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Virtualization technology has promoted the fast development and deployment of cloud computing, and is now becoming an enabler of Internet of Everything. Virtual machine monitor (VMM), playing a critical role in a virtualized system, is software and hence it suffers from software aging after a long continuous running as well as software crashes due to elusive faults. Software rejuvenation techniques can be adopted to reduce the impact of software aging. Although there existed analytical model-based approaches for evaluating software rejuvenation techniques, none analyzed both application service (AS) availability and job completion time in a virtualized system with live virtual machine (VM) migration. This paper aims to quantitatively analyze software rejuvenation techniques from service provider and user views in a virtualized system deploying VMM reboot and live VM migration techniques for rejuvenation, under the condition that all the aging time, failure time, VMM fixing time and live VM migration time follow general distributions. We construct an analytical model by using a semi-Markov process (SMP) and derive formulas for calculating AS availability and job completion time. By analytical experiments, we can obtain the optimal migration trigger intervals for achieving the approximate maximum AS availability and the approximate minimum job completion time, and then service providers can make decisions for maximizing the benefits of service providers and users by adjusting parameter values.

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“…According to [12], software rejuvenation process is not a complex task but a very effective technique in increasing the availability of a software by rebooting and refreshing the software. The rejuvenation technique is used to revive ageing software after the ageing status is detected [16] [24]. Cotroneo et al [17] suggests that software maintenance activities are considered as the anti-ageing process where these activities are used to delay the ageing of software.…”

Section: B Software Anti-ageing and Rejuvenationmentioning

confidence: 99%

The Implementation of Software Anti-Ageing Model towards Green and Sustainable Products

Abdullah

Yahaya

Ibrahim

et al. 2019

IJACSA

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Software ageing is a phenomenon that normally occurs in a long running software. Progressive degradation of software performance is a symptom that shows software is getting aged and old. Researchers believe that the ageing phenomenon can be delayed by applying anti-ageing techniques towards the software or also known as software rejuvenation. Software ageing factors are classified into two categories: internal and external factors. This study focuses on external factors of software ageing, and are categorized into three main factors: environment, human and functional. These three factors were derived from empirical study that been conducted involving fifty software practitioners in Malaysia. The anti-ageing model (SEANA model) is proposed to support in preventing the software from prematurely aged, thus prolong its usage and sustainable in their environment. SEANA model is implemented in collaboration with a government agency in Malaysia to verify and validate the model in real environment. The prototype of SEANA model was developed and applied in the real case study. Furthermore, the anti-ageing guideline and actions are suggested for ageing factors to delay the ageing phenomenon in application software and further support the greenness and sustainability of software products.

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Lifetime Extension of Software Execution Subject to Aging

Cited by 30 publications

References 31 publications

An analysis of software aging in cloud environment

An analysis of software aging in cloud environment

Analyzing Software Rejuvenation Techniques in a Virtualized System: Service Provider and User Views

The Implementation of Software Anti-Ageing Model towards Green and Sustainable Products

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