SLA Decomposition: Translating Service Level Objectives to System Level Thresholds

Chen, Yuan; Iyer, Subu; Li, Xue; Sahai, Akhil

doi:10.1109/icac.2007.36

Cited by 94 publications

(61 citation statements)

References 8 publications

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“…This problem has been thoroughly investigated the previous years in the context of grid technologies (like in the works of [6,7,8]. However, in the current cloud business model, the di erent roles of SaaS, PaaS and IaaS limit the ow of information from one layer to the other (like source code or hardware capabilities knowledge).…”

Section: Performance Analysismentioning

confidence: 99%

Minimizing Technical Complexities in Emerging Cloud Computing Platforms

Menychtas

Kousiouris

Kyriazis

et al. 2011

Euro-Par 2010 Parallel Processing Workshops

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Abstract. Cloud Computing is considered nowadays as the future of ICT systems leveraging new methodologies for developing, providing and consuming services. Even though many people believe that Cloud is just another buzzword for utility computing, this new computing paradigm is not only changing the design of modern computing platforms in technical level, but it also impels, from the market perspective, the creation of new value chains and business models. However, many technical complexities still remain, which disallow the wide adoption of Clouds to eventually address the new business trends and requirements of end-users. In this paper we identi ed and analyzed the key challenges for the emerging cloud platforms in order to minimize these technical complexities while various innovative approaches from European research activities are presented.

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Section: Performance Analysismentioning

confidence: 99%

Minimizing Technical Complexities in Emerging Cloud Computing Platforms

Menychtas

Kousiouris

Kyriazis

et al. 2011

Euro-Par 2010 Parallel Processing Workshops

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“…The closed system model of muti-tier business applications based on mean value analysis (MVA) algorithm to predict performance of multi-tier applications has been discussed in Chen et al [4]. A single queue model for all tiers to prevent overload and maintain absolute client response time has been reported in Kamra et al [6].…”

Section: Related Workmentioning

confidence: 99%

Dynamic Provisioning and Resource Management for Multi-Tier Cloud Based Applications

Goswami¹,

Patra²,

Mund³

2013

Foundations of Computing and Decision Sciences

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Abstract. Dynamic capacity provisioning is a useful technique for handling the workload variations seen in cloud environment. In this paper, we propose a dynamic provisioning technique for multi-tier applications to allocate resources efficiently using queueing model. It dynamically increases the mean service rate of the virtual machines to avoid congestion in the multi-tier environments. An optimization model to minimize the total number of virtual machines for computing resources in each tier has been presented. Using the supplementary variable and the recursive techniques, we obtain the system-length distributions at pre-arrival and arbitrary epochs. Some important performance indicators such as blocking probability, request waiting time and number of tasks in the system and in the queue have also been investigated. Finally, computational results showing the effect of model parameters on key performance indicators are presented.

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“…Published applications of queueing network models (QNMs) to distributed systems that we know of are restricted to rather small applications, such as three- tier web services [4,5]. Urgaonka et al have recently applied QNMs for predicting the performance of multi-tier internet services [20] …”

Section: Related Literaturementioning

confidence: 99%

“…Once a valid model is found, it is easy to do various forms of sensitivity analyses. There is surprisingly little empirical work on the usage of analytical models or simulation for the capacity planning of DTP systems [2][3][4][5]. Also, knowledge about and usage of these techniques is limited or not existent at all by many IT service providers.…”

Section: Introductionmentioning

confidence: 99%

On the predictive performance of queueing network models for large-scale distributed transaction processing systems

2009

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Automated business processes running on distributed transaction processing (DTP) systems characterize the IT backbone of services industries. New web services standards such as BPEL have increased the importance of DTP systems in business practice. IT departments are forced to meet pre-defined quality-of-service metrics, therefore performance prediction is essential.Unfortunately, the complexity of multiple interacting services running on multiple hardware resources as well as the volatility in the demand for these services can make performance analysis extremely difficult. While business process automation has been a dominant topic in the recent years, surprisingly little has been published on performance modelling of large-scale DTP systems.In this paper, we will describe these systems with respect to the workloads and technical features, and compare the predictive accuracy of different types of queueing models and discrete event simulations experimentally. The experiments are based on two real-world DTP systems and respective data sets of a telecom company. Overall, we found that while the results for average utilization scenarios are quite similar, the effort to implement and run analytic solutions is much lower. As long as standard distributional assumptions of analytical models hold, they provide a reliable and fast methodology to explore different demand mix scenarios even for large-scale systems. The difficulty to estimate service and arrival time parameters and demand mix for the respective queueing network models can largely be reduced with appropriate tooling. Often, this information is missing in IT departments. Also, complex event conditions and error handling in DTP systems can make the analysis difficult. For many DTP applications, however, performance modelling could provide valuable decision support for service level management.

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SLA Decomposition: Translating Service Level Objectives to System Level Thresholds

Cited by 94 publications

References 8 publications

Minimizing Technical Complexities in Emerging Cloud Computing Platforms

Minimizing Technical Complexities in Emerging Cloud Computing Platforms

Dynamic Provisioning and Resource Management for Multi-Tier Cloud Based Applications

On the predictive performance of queueing network models for large-scale distributed transaction processing systems

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