Software rejuvenation in cluster computing systems with dependency between nodes

Reliability and high availability have always been a major concern in distributed systems. Providing highly available and reliable services in cloud computing is essential for maintaining customer confidence and satisfaction and preventing revenue losses. Although various solutions have been proposed for cloud availability and reliability, but there are no comprehensive studies that completely cover all different aspects in the problem. This paper presented a ‘Reference Roadmap’ of reliability and high availability in cloud computing environments. A big picture was proposed which was divided into four steps specifying through four pivotal questions starting with ‘Where?’, ‘Which?’, ‘When?’ and ‘How?’ keywords. The desirable result of having a highly available and reliable cloud system could be gained by answering these questions. Each step of this reference roadmap proposed a specific concern of a special portion of the issue. Two main research gaps were proposed by this reference roadmap.

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“…Software rejuvenation can be used at different scopes like system, application, process, or thread [105].…”

Section: Task Resubmissionmentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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“…poorly guaranteed profits, longer outages and downtime. A number of studies [3, 4] have reported software ageing phenomena as one of the major causes of performance degradation and unplanned software outages. As a phenomenon normally observed in software programs, software ageing implies that the long‐running system suffers from abnormal state, performance degradation, and ultimately hanging, and failure.…”

Section: Introductionmentioning

confidence: 99%

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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“…For example, web services without QoS technology in e-business could negatively impact business operations such as no guarantee of profits and longer outages and downtimes. Several studies [3,4] have reported that one of the causes of performance degradation and unplanned software outages is the software aging phenomenon. Software aging observed in software as long-running software systems suffer from abnormal states, performance degradation, and even hang or failure.…”

Section: Introductionmentioning

confidence: 99%

Dynamic software rejuvenation in web services: a whale optimizationalgorithm-based approach

Kalantari¹,

Ebrahimnejad²,

Motameni³

2020

Turk J Elec Eng & Comp Sci

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In this paper, we suggest a method for determining the restarting time for web services to increase availability, known as rejuvenation. We consider different parameters such as number of users, maximum service request number, response time, and throughput of a web service to determine its restarting time. Software rejuvenation is an effective technique to counteract software aging in continuously running applications such as web service-based systems. In these systems, web services are allocated based on the needs of the receivers and facilities of servers. One of the challenges while assigning web services is selecting the appropriate server to reduce faults. Since the selection of a server among candidates while maintaining the optimal quality of service is an NP-hard problem, metaheuristics seem to be suitable. In this paper, we propose dynamic software rejuvenation as a proactive fault-tolerance technique based on the whale optimization algorithm. The threshold for the rejuvenation of each of the web services is considered and training is done based on the features of the service providers as well as the needs of the receivers. The whale optimization algorithm with the criterion of movement radius is utilized for flexibility of web service provider selection. Here, we detect and rejuvenate systems that required rejuvenation before the occurrence of a fault. The simulation results reveal that our strategy can decrease the failure rate by an average of 30 percent in comparison with state-of-the-art strategies and improve the system availability in web services.

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Software rejuvenation in cluster computing systems with dependency between nodes

Cited by 5 publications

References 25 publications

Reliability and high availability in cloud computing environments: a reference roadmap

Reliability and high availability in cloud computing environments: a reference roadmap

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

Dynamic software rejuvenation in web services: a whale optimizationalgorithm-based approach

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