Web service availability—impact of error recovery and traffic model

Martinello, Magnos; Kaâniche, Mohamed; Kanoun, Karama

doi:10.1016/j.ress.2004.08.003

Cited by 32 publications

(11 citation statements)

References 11 publications

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“…More specifically, Poisson arrivals of outages are a common assumption in the literature on IT service reliability and availability, e.g. Martinello et al (2005); Jeske and Xuemei Zhang (2005); Franke (2012,2016,2019); Yamada (2014); Taylor and Ranganathan (2014).…”

Section: Remarkmentioning

confidence: 99%

Enterprise IT service downtime cost and risk transfer in a supply chain

Wang

Franke

2020

Oper Manag Res

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In this paper we present an economic model for analyzing enterprise IT service downtime cost, first on a standalone basis and then in a supply chain setting. With a baseline probability model of Poisson arrival frequency with random downtime duration, we analyze optimal production of a firm's investments in reducing frequency and duration of downtime, and corresponding premiums for insuring against downtime cost. We also present a model for the spillover effect of downtime for interconnected firms in a supply chain, and discuss how third-party insurance coverage can help enterprises to internalize the externalities of spillover effects on the supply chain.

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Section: Remarkmentioning

confidence: 99%

Enterprise IT service downtime cost and risk transfer in a supply chain

Wang

Franke

2020

Oper Manag Res

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“…We have two types of server, processing and database servers. We are also interested in the modeling QoS performance by scaling cloud platforms, leaving aside other issues such as cloud availability [11], energy consumption [12], variability [13] or reliability [14].…”

Section: Introductionmentioning

confidence: 99%

The response time analysis of queuing model in cloud computing environment

Madankan¹

2022

CSJM

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In this paper, the queuing theory is used to model cloud computing environment. The aim of this job is to analyze the response time as a measure of the Quality of Service (QoS) of computer services. In the cloud computing, multi resources need to be allocated simultaneously to multiple customers. When a customer requests for a service, if servers are busy, the requested job enters into the waiting line until a server completes its service. So, this may lead to a bottleneck in the network. By modeling cloud platforms by a queuing network, it can be easy to determine and to measure the QoS. The arrival rate and the service rate of processing servers are two main parameters that can affect the performance of the model; so, they are used to analyze the performance of the model. This paper proposes a queuing model which is applied at multiple servers in order to analyze the response time and also to improve the network performance and QoS effectively in a cloud computing environment.

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“…For this reason, it is also the QoS parameter chosen in this work. This paper also deals with problems of variability [8] and reliability [12], leaving aside such other cloud-computing issues as security capabilities [9], cloud availability [10] and power-aware energy consumption [11].…”

Section: Introductionmentioning

confidence: 99%

SLA-Aware Load Balancing in a Web-Based Cloud System over OpenStack

Vilaplana

Solsona

Mateo

et al. 2014

Lecture Notes in Computer Science

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This paper focuses on the scalability problem in cloud-based systems when changing the computing requirements, this is, when there is a high degree of requesting service variability in cloud-computing environments. We study a specific scenario for web-based application deployed in a cloud system, where the number of requests can change with time. This paper deals with guaranteeing the SLA (Service-Level Agreement) in scalable clouds with web-based load variability.We present an architecture able to balance the load (mainly webbrowser applications) between different computing virtual machines. This is accomplished by monitoring the system in order to determine when to create or terminate virtual machines. A novel scheduling policy to manage the requested cloud services based on the presented architecture is also proposed.The good results obtained by implementing the proposed architecture in a real cloud framework prove the applicability of our proposal for guaranteeing SLA.

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Web service availability—impact of error recovery and traffic model

Cited by 32 publications

References 11 publications

Enterprise IT service downtime cost and risk transfer in a supply chain

Enterprise IT service downtime cost and risk transfer in a supply chain

The response time analysis of queuing model in cloud computing environment

SLA-Aware Load Balancing in a Web-Based Cloud System over OpenStack

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