Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
COMPREHENSIVE METHOD OF ENERGY-EFFICIENT WORKLOAD PROCESSING IN THE INFORMATION AND COMMUNICATION NETWORK
View through CrossRef
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.
Igor Sikorsky Kyiv Polytechnic Institute
Title: COMPREHENSIVE METHOD OF ENERGY-EFFICIENT WORKLOAD PROCESSING IN THE INFORMATION AND COMMUNICATION NETWORK
Description:
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.
Related Results
Storage Workload Identification
Storage Workload Identification
Storage workload identification is the task of characterizing a workload in a storage system (more specifically, network storage system—NAS or SAN) and matching it with the previou...
Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence
Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence
Abstract
Objective
To determine the anticipated contribution of recently published medical imaging literature, including artificial intelligence (AI...
Staffing and Workload in Primary Care Facilities of Selected Geographically Isolated and Disadvantaged Communities in the Philippines
Staffing and Workload in Primary Care Facilities of Selected Geographically Isolated and Disadvantaged Communities in the Philippines
Background and Objective. Staffing shortages and health inequities are persistent barriers in the Philippines toward achieving universal health care. To ensure an adequate and resp...
THE WORKLOAD ANALYSIS OF EMPLOYEE BY USING NATIONAL AERONAUTICS AND SPACE ADMINISTRATION-TASK LOAD INDEX METHOD (NASA-TLX)
THE WORKLOAD ANALYSIS OF EMPLOYEE BY USING NATIONAL AERONAUTICS AND SPACE ADMINISTRATION-TASK LOAD INDEX METHOD (NASA-TLX)
Development of manufacturing and service institutions can not be separated from the role of human resources. Human resources have an important role in fulfilling vision and mission...
Identifying Key Risk Factors in Air Traffic Controller Workload by SEIR Model
Identifying Key Risk Factors in Air Traffic Controller Workload by SEIR Model
To address the controller workload with the forecast, the capacity of the air traffic management system is effectively enhanced. It should be based on a specific analysis of the co...
Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology
Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology
Abstract
The integration of renewable energy systems in port facilities is essential for achieving sustainable and environmentally friendly operations. This paper presents ...
Optimizing Multimodal Alarm Design for Attention Allocation in Discrete Monitoring Tasks
Optimizing Multimodal Alarm Design for Attention Allocation in Discrete Monitoring Tasks
Discrete monitoring tasks are common in scenarios such as flight missions, air traffic control, nuclear power plant monitoring, and clinical healthcare. In these tasks, operators p...
ANALISIS BEBAN MENTAL MENGGUNAKAN NASA-TLX PADA OPERATOR PRODUKSI PENGGILINGAN SEMEN
ANALISIS BEBAN MENTAL MENGGUNAKAN NASA-TLX PADA OPERATOR PRODUKSI PENGGILINGAN SEMEN
Workload is a job demand when receiving requests for orders or demands that will produce a form and level of performance. The problems that cause mental workload are the addition o...