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Proceedings ArticleDOI

Stochastic models for cloud computing performance evaluation

TLDR
The paper discusses the received computation results of the proposed modeling approach and their application to assessing the performance of the cloud systems.
Abstract
For cloud systems a set of stochastic models taking account of system context actualization is proposed. These models are based on queueing theory and extend its applications by studying the multichannel systems with warm-up and hyperexponential phase-type approximation of non-Markovian processes. Transition diagrams and matrices for the microstates of a sample cloud system are described and a scheme for computing the stationary probability distributions for requests number and waiting time is developed. The paper discusses the received computation results of the proposed modeling approach and their application to assessing the performance of the cloud systems.

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Citations
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Proceedings ArticleDOI

A cloud computing model using multi-channel queuing system with cooling

TL;DR: This paper will display how the multi-channel queue will be divided into micro states, and how cooling effects the performance of the cloud servers by comparing results from different cooling intensities.
Proceedings ArticleDOI

Performance evaluation of cloud computing accounting for expenses on information security

TL;DR: The study demonstrates the influence of the “warm-up” process on the cloud computing performance and shows the need to collect data and examine “warming up” patterns to assure that the system capabilities are appropriate for significantly different levels and patterns of demand.
Book ChapterDOI

Load Balancing Cloud Computing with Web-Interface Using Multi-channel Queuing Systems with Warming up and Cooling

TL;DR: The model based on queuing theory for a cloud computing system Web-Interface that uses pre-processing and post-processing is presented and the effect of warming-up and cooling is clearly visible and how the effective model helps balancing the load on the servers is shown.
Proceedings ArticleDOI

Evaluation of cryptographic primitives security based on proximity to the Latin square

TL;DR: The paper proposes a universal approach to the assessment of security of any cryptographic primitives based on the theorem of C. Shannon that defines perfect secrecy for secret-key systems and shows that they exist.
Proceedings ArticleDOI

Analysis of Measures to Achieve Resilience during Virtual Machine Interruptions in IaaS Cloud Service

TL;DR: An analytical model is proposed to study queueing system to handle various virtual machine interruptions in IaaS cloud service and the results declare guaranteed performance for the IAAS clients to achieve high availability of service as the response time never deflate during VM interruptions.
References
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Journal ArticleDOI

A use of complex probabilities in the theory of stochastic processes

David Cox
TL;DR: In this paper, the authors generalized Erlang's idea of extending to cover all distributions with rational Laplace transforms; this involves the formal use of complex transition probabilities and properties of the method are considered.
Proceedings ArticleDOI

A Performance Study on the VM Startup Time in the Cloud

TL;DR: This paper studies the startup time of cloud VMs across three real-world cloud providers -- Amazon EC2, Windows Azure and Rackspace and analyzes the relationship between the VM startup time and different factors, such as time of the day, OS image size, instance type, data center location and the number of instances acquired at the same time.
Proceedings ArticleDOI

The Characteristics of Cloud Computing

TL;DR: The characteristics of this area which make cloud computing being cloud computing and distinguish it from other research areas are proposed.
Proceedings ArticleDOI

Service Performance and Analysis in Cloud Computing

TL;DR: In this paper, the authors present an approach for studying computer service performance in cloud computing, in an effort to deliver QoS guaranteed services in such a computing environment, they find the relationship among the maximal number of customers, the minimal service resources and the highest level of services.
Journal ArticleDOI

A Stochastic Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems

TL;DR: In this article, the authors present an analytical model based on stochastic reward nets (SRNs) that is both scalable to model systems composed of thousands of resources and flexible to represent different policies and cloud-specific strategies.
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