The method of improving the availability at cloud service systems

Demydov, Ivan; Shpur, Olga; Lutfor, Rakhman; Deshchynskyi, Yurii

doi:10.1109/ukrmico.2016.7739639

Cited by 1 publication

(4 citation statements)

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“…The given category of information and communication systems (CBN) were developed at Petrino and Aryaka companies' \cite{20demydov2016method}. Network-as-a-Service (NaaS) was proposed for generalization of mentioned CBN properties [4]. Approaches to CEN system deployment are investigated in papers [21][22][23][24], particularly the optimization of corresponding network equipment performance.…”

Section: Conceptual Study Of Targeted Technologiesmentioning

confidence: 99%

“…We can outline the specific service components groups, which are used in the orchestration process, by which complex application may be used by SDP users. Service components classification, as threads or streams, which are performed by virtual machines may be adopted in accordance with the definitions of Amdahl's Law [4,19] (Fig. 1).…”

Section: Service Availability Modelling In Scalable Cloud Service Netmentioning

confidence: 99%

“…Next, we present the results of service availability modelling in scalable cloud service network, which was performed using MATLAB and Mathcad systems based on numerical calculations and analytical dependencies approximation, which were presented in [4,29] (Figs. 3, 4).…”

Section: Service Availability Modelling In Scalable Cloud Service Netmentioning

confidence: 99%

“…and are invisible for consumers, who perceive system availability as no-faulty operation. The statistics of typical failures in cloud systems is very interesting (see Table 1) [3,4]. It shows that existing approaches to achieve high-reliability of cloud systems are poor in terms of effectiveness.…”

Section: Introductionmentioning

confidence: 99%

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The Structural-Functional Synthesis of IoT Service Delivery Systems by Performance and Availability Criteria

Demydov

Klymash

Brych

et al. 2017

IoTEA

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This paper is devoted to the quantitative investigation of the availability of cloud service systems. In this paper we calculate the criteria and constraints of a distributed service platform such as availability and system performance index variations by defined set of the main parameters. We analyze the calculation results to enable optimal synthesis of distributed service platforms based on the cloud service-oriented architecture. The method of synthesis has been numerically generalized considering the type of service workload. We used Hurst parameter to statistically evaluate each integrated service that requires implementation within the service delivery platform. The latter is synthesized by structural matching of virtual machines using combination of elementary service components. According to Amdahl's Law the clustering of cloud-networks allows to break the complex dynamic network into separate segments that simplifies access to the resources of virtual machines. This in turn simplifies complex topological structure, enhancing the overall system performance. The proposed approaches and obtained results allow to numerically justify and algorithmically describe the process of structural and functional synthesis of efficient distributed service platforms. These platforms through dynamic configuring and exploitation provide an opportunity to create the dynamic environment in terms of comprehensive services range and significant user workload fluctuation.

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Section: Conceptual Study Of Targeted Technologiesmentioning

confidence: 99%

Section: Service Availability Modelling In Scalable Cloud Service Netmentioning

confidence: 99%

Section: Service Availability Modelling In Scalable Cloud Service Netmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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