Hybrid Resource Provisioning System for Virtual Network Functions

Sulima, Svitlana; Skulysh, Mariia

doi:10.15588/1607-3274-2017-1-2

Cited by 4 publications

(5 citation statements)

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“…The authors of the research [18] have proposed an approach to hybrid resource provisioning in virtualized networks. The main idea of this approach is as follows:…”

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

“…According to the adapted approach proposed in [18], the current workload should be monitored throughout the day, but the intensity of the monitoring may vary according to the deviation between the statistical workload and the current one. Let I base be a baseline time monitoring interval.…”

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

“…Monitoring interval then should be adjusted according to Eq. (12): The main idea of hybrid resource provisioning approach [18].…”

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

“…This approach is described in details in [18]. Thus, having the predicted value of workload for the next time period, we can recalculate the pattern for that period and change the number of nodes in the system according to the calculated optimal number.…”

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

See 3 more Smart Citations

Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance

Globa¹,

Stryzhak²,

Gvozdetska³

et al. 2020

Scheduling Problems - New Applications and Trends

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Global digital transformation requires more productive large-scale distributed systems. Such systems should meet lots of requirements, such as high availability, low latency and reliability. However, new challenges become more and more important nowadays. One of them is energy efficiency of large-scale computing systems. Many service providers prefer to use cheap commodity servers in their distributed infrastructure, which makes the problem of energy efficiency even harder because of hardware inhomogeneity. In this chapter an approach to finding balance between performance and energy efficiency requirements within inhomogeneous distributed computing environment is proposed. The main idea of the proposed approach is to use each node's individual energy consumption models in order to generate distributed system scaling patterns based on the statistical daily workload and then adjust these patterns to match the current workload while using energy-aware Power Consumption and Performance Balance (PCPB) scheduling algorithm. An approach is tested using Matlab modeling. As a result of applying the proposed approach, large-scale distributed computing systems save energy while maintaining a fairly high level of performance and meeting the requirements of the service-level agreement (SLA).

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“…The authors of the research [18] have proposed an approach to hybrid resource provisioning in virtualized networks. The main idea of this approach is as follows:…”

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

“…Monitoring interval then should be adjusted according to Eq. (12): The main idea of hybrid resource provisioning approach [18].…”

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

Section: Deviations From Patterns Detection and System Reconfigurationmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance

Globa¹,

Stryzhak²,

Gvozdetska³

et al. 2020

Scheduling Problems - New Applications and Trends

View full text Add to dashboard Cite

show abstract

“…by more than  is detected, the value of the so-called adaptation window is calculated, the concept of which is proposed in the paper [34] :…”

mentioning

confidence: 99%

Comprehensive Method of Energy-Efficient Workload Processing in the Information and Communication Network

Prokopets

Globa

2022

ITS

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Background. Peculiarities of the workload in a modern information and communication network (ICN) determine specific requirements for energy efficiency, performance and availability of its processing system. Existing approaches to increase energy efficiency and performance of workload processing do not take into account the possibility of dynamic changes in ICN workload arrival rate and individual energy consumption characteristics of computing nodes of the system. Objective. The purpose of the paper is to increase the energy efficiency and performance of ICN workload processing while meeting the requirements for the availability of the processing system, taking into account dynamic changes in the input workload arrival rate and the individual characteristics of the computing nodes’ energy consumption. Methods. A mathematical model of the workload processing system was built using the queueing theory methods, and an ontological model of this system was built using intelligent data analysis methods, which made it possible to quantitatively and qualitatively describe the complex relationships between system parameters and workload processing efficiency indicators. On the basis of the built models, a comprehensive method of energy-efficient workload processing was proposed, which differs from the known ones by the use of individual energy consumption models of computing nodes, combining the advantages of horizontal scaling and energy-efficient scheduling taking into account dynamic changes in workload arrival rate. Results. The efficiency of ICN workload processing is increased by 15.722% according to the efficiency criterion, which includes energy efficiency and performance indicators, compared to the known energy-efficient Backfill approach while meeting the requirements for the availability of the processing system. Conclusions. The energy efficiency, performance and availability of the ICN workload processing system can be improved by combining horizontal scaling and energy-efficient scheduling approaches using individual energy consumption models of computing nodes and taking into account dynamic changes in the input workload arrival rate.

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Comprehensive Energy Efficient Approach to Workload Processing in Distributed Computing Environment

Globa

Gvozdetska

2020

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

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Hybrid Resource Provisioning System for Virtual Network Functions

Cited by 4 publications

References 0 publications

Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance

Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance

Comprehensive Method of Energy-Efficient Workload Processing in the Information and Communication Network

Comprehensive Energy Efficient Approach to Workload Processing in Distributed Computing Environment

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