Time and Prediction based Software Rejuvenation Policy

Jiang, Letian; Peng, Xiangyu; Xu, Guizhi

doi:10.1109/itcs.2010.34

Cited by 10 publications

(8 citation statements)

References 21 publications

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“…v. The majority of software rejuvenation methods proposed so far entail a single version for the software. Therefore, the fault tolerance tends to be low and the system availability declines during rejuvenation [33,34]. vi.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, one of the Poisson, Gaussian or Weibull distributions has been employed. Conversely, the effects of failure event distributions were not evaluated in optimisation of software rejuvenation [29, 32–34]. Our new method is independent of the specific probability distribution of failure. Many software rejuvenation methods stop the software system during rejuvenation; i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In spite of partial decline of efficiency, the whole system never stops during rejuvenation. The majority of software rejuvenation methods proposed so far entail a single version for the software. Therefore, the fault tolerance tends to be low and the system availability declines during rejuvenation [33, 34]. One of the problems in optimisation of software rejuvenation is how to choose the most suitable server for web application allocation that can reduce the number of failures.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Efficient improved ant colony optimisation algorithm for dynamic software rejuvenation in web services

2020

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Software rejuvenation is an effective technique to counteract software ageing in continuously-running applications such as web-service-based systems. In a client-server application, where the server is intended to run perpetually, rejuvenation of the server process periodically during the server idle times increases the availability of that service. In these systems, web services are allocated based on the receiver's requirements and server's facilities. Since the selection of a server among candidates while maintaining the optimal quality of service is an NP-hard problem, meta-heuristics seems to be suitable. In this study, the proposed dynamic software rejuvenation as a proactive fault-tolerance technique based on a combination of ant colony optimisation (ACO) and gravitational emulation local search (GELS) so as to determine the optimal times when rejuvenation can be performed and failure rate can be minimised. The newly proposed method combined the public search capabilities of ACO with local search of GELS algorithm in an effort to create a stable algorithm, which can make reaching the global optimum largely possible in the proposed work. The simulation results revealed that the proposed strategy can decrease the failure rate of web services averagely by 28% in comparison with genetic algorithm and decision-tree strategies.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Efficient improved ant colony optimisation algorithm for dynamic software rejuvenation in web services

2020

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“…Some of the solutions proposed can be seen in [14][15][16][17][18][19]. Some of the researchers have worked on different platforms.…”

Section: Software Aging Detection Techniquesmentioning

confidence: 99%

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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“…In Standard rejuvenation [2] [3], once triggered interval is reached rejuvenation occurs. This technique does not take payload into consideration.…”

Section: Software Rejuvenation Techniques Reviewmentioning

confidence: 99%

SIP Policy: Theoretical and Conceptual Facts of Software Rejuvenation in Convoluted System

Cholli

Srinivasan²

2016

IJSET

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A software aging in convoluted system refers to the situation where software degrades with span of time. This phenomenon, which may eventually lead to system performance degradation or crash/hang failure, is the result of depletion of operating system resources, data deception and numerical error assembly. A technique called software rejuvenation has been incorporated, which essentially involves periodic aborting an application or a system, flushing its intramural state and re-starting it. A main issue in rejuvenation is to discover ideal time to initiate software rejuvenation. Software rejuvenation is a proactive technique that allows preventing the occurrence of software failing. A novel approach called Smart interval and payload (SIP) policy is introduced to overcome all the hurdles in the present scenario based on Software Rejuvenation approaches. SIP policy accepts time from user and optimizes the rejuvenation time whenever workload is variable; otherwise the system is rejuvenated at its rejuvenation point. SIP policy avoids software failure and it helps to achieve high availability of convoluted system.

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Time and Prediction based Software Rejuvenation Policy

Cited by 10 publications

References 21 publications

Efficient improved ant colony optimisation algorithm for dynamic software rejuvenation in web services

Efficient improved ant colony optimisation algorithm for dynamic software rejuvenation in web services

An analysis of software aging in cloud environment

SIP Policy: Theoretical and Conceptual Facts of Software Rejuvenation in Convoluted System

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