Simulation and evaluation of multicriteria planning heuristics for demand response in datacenters

SIMULATION ◽  
2021 ◽  
pp. 003754972110200
Author(s):  
Jonathan Muraña ◽  
Sergio Nesmachnow
Keyword(s):  
Demand Response ◽  
Business Models ◽  
Global Information ◽  
Pareto Analysis ◽  
Smart Systems ◽  
Response Planning ◽  
Energy Demands ◽  
Negotiation Mechanism ◽  
Simulation And Evaluation

This article presents the evaluation of multicriteria planning heuristics for demand response in datacenters and supercomputing facilities. This is a relevant problem for science nowadays, when the growing application of cutting-edge technologies (numerical methods, big data processing, artificial intelligence, smart systems, etc.) has raised the energy demands in datacenters. The proposed approach involves a negotiation mechanism for colocation datacenters, where the datacenter operator agrees prices and quality of service with a group of tenants. Twelve different multicriteria heuristics are proposed for planning using both local and global information at tenants and datacenter operator levels. The proposed approach is evaluated applying simulations over realistic scenarios considering different tenant sizes and heterogeneity levels that model different business models for datacenters. Several metrics are computed and Pareto analysis is provided. The main results indicate that accurate trade-off values between the problem objectives are obtained, offering different options for decision making. The proposed approach provides a useful and applicable method for demand response planning in modern datacenters.

Open network quality of service and bandwidth control: Use cases, technical architecture, and business models

2011 ◽  
Vol 16 (2) ◽  
pp. 133-152 ◽  
Author(s):  
James A. Brunetti ◽  
Kanti Chakrabarti ◽  
Alina M. Ionescu-Graff ◽  
Ramesh Nagarajan ◽  
Dong Sun
Keyword(s):  
Quality Of Service ◽  
Business Models ◽  
Use Cases ◽  
Open Network ◽  
Technical Architecture ◽  
Bandwidth Control ◽  
Network Quality

Alternatives to solve SDG trade-offs and to enforce SDG synergies: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrei Boar ◽  
Erola Palau Pinyana ◽  
Marc Oliveras-Villanueva
Keyword(s):  
Sustainable Development ◽  
Developing Countries ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Business Models ◽  
Economic Models ◽  
Clean Energy ◽  
Content Type ◽  
Trade Offs

PurposeThis paper takes a critical view of synergies and trade-offs and discloses the practices that countries and companies should apply to achieve sustainable development.Design/methodology/approachThis paper offers a systematic literature review of 408 papers to find models of sustainable development goals (SDGs) interaction with the aim of shedding light on the existing synergies and trade-offs and finding solutions to enhance these synergies and minimize the trade-offs.FindingsBoth rich and developing countries should follow multiple strategies to improve the quality of life of their citizens. Developing countries should focus on eradicating poverty. Rich countries should apply new economic models that are more likely to be environmental-friendly. Finally, the topic of SDGs should be revisited by the United Nations.Practical implicationsBoosting the quality of education and providing clean energy are two of the most relevant actions that should to be taken by countries, as they will accelerate the fulfilment of all the other SDGs. The use of circular economic models or new business models, such as the sharing economy, is essential to the achievement of sustained economic growth without negative environmental impact.Originality/valueThe paper analyzes SDG interactions and offers a critical vision of practices that countries and companies should adhere to for achieving sustainable development.

Flexible IT platform for synchronizing energy demands with volatile markets

2018 ◽  
Vol 60 (3) ◽  
pp. 155-164 ◽  
Author(s):  
Paul Schott ◽  
Raphael Ahrens ◽  
Dennis Bauer ◽  
Fabian Hering ◽  
Robert Keller ◽  
...  
Keyword(s):  
Demand Response ◽  
Business Case ◽  
Electricity Production ◽  
Demand And Supply ◽  
Know How ◽  
Electricity System ◽  
Energy Demands ◽  
Production Processes ◽  
Long Run ◽  
Additional Level

Abstract Abandoning fossil and nuclear energy sources in the long run and increasing amount of renewable energies in electricity production causes a more volatile power supply. Depending on external realities, renewable energy production emphasizes the need for measures to guarantee the necessary balance of demand and supply in the electricity system at all times. Energy intensive industry processes theoretically include high Demand Response potentials suitable to tackle this increasing supply volatility. Nevertheless, most companies do not operate their production in a flexible manner due to multiple reasons: among others, the companies lack know-how, technologies and a clear business case to introduce an additional level of flexibility into their production processes, they are concerned about possible impacts on their processes by varying the electricity demand and need assistance in exploiting their flexibility. Aside from fostering knowledge in industry companies, an IT-solution that supports companies to use their processes’ Demand Response potential has become necessary. Its concept must support companies in managing companies’ energy-flexible production processes and monetarize those potentials at flexibility markets. This paper presents a concept, which integrates both companies and energy markets. It enables automated trading of companies’ Demand Response potential on different flexibility markets.

Quality Evaluation of Group-Buy Websites

2016 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Zhuoxi Yu ◽  
Yanqing Wu ◽  
Zhiwen Zhao
Keyword(s):  
Customer Satisfaction ◽  
Quality Evaluation ◽  
Business Models ◽  
Comprehensive Evaluation ◽  
Market Competition ◽  
Group Buying

Group buying mode has been one of the hottest business models in the Chinese Internet area in recent years. Though the market competition is intense, the demand of group purchase is still on the rise. Nowadays, the research on comprehensive evaluation of group buying websites in the country is still tiny. The paper used DEA combined with AHP to evaluate popular group buying websites. According to the characteristics of group buying websites, the authors evaluate the quality of group buying websites from four aspects. There are running efficiency, profit ability, popularity and customer satisfaction. Then they get the comprehensive evaluation results of each website which based on those four aspects. Some suggestions of website building for group purchasing enterprises are proposed.

PRIVATE MEDICAL INSTITUTION BUSINESS MODEL TRANSFORMATION

2017 ◽  
Author(s):  
Alla Osokina ◽  
◽  
Tetiana Mysyshyn ◽  
Keyword(s):  
Development Strategy ◽  
Business Model ◽  
Model Transformation ◽  
Business Models ◽  
Model Development ◽  
Quality Of Services ◽  
Medical Institutions ◽  
Key Aspects ◽  
Business Model Development

The purpose of this article is to describe the key aspects of the transformation of outdated business models of private healthcare institutions in Ukraine. The article supports the point that existing business models of private medical institutions could be improved based on assessing the quality of services provided and creating a unique value proposition using modern marketing tools for the development of business models. On the basis of the economically substantiated business model development strategy of «MEDICOM Anti-Aging Clinic», theoretical conclusions have been empirically confirmed and their applied significance has been proved.

Quality of Experience in Mobile Peer-to-Peer Streaming Systems

2012 ◽  
pp. 196-241
Author(s):  
Florence Agboma
Keyword(s):  
Quality Of Experience ◽  
Business Models ◽  
Prediction Models ◽  
Content Delivery ◽  
Peer To Peer ◽  
Network Resource ◽  
Relative Contribution ◽  
Qos Parameters ◽  
Streaming Systems

This chapter considers the various parameters that affect the user’s Quality-of-Experience (QoE) in mobile peer-to-peer streaming systems, which are a form of content delivery network. Network and content providers do not necessarily focus on users’ QoE when designing the content delivery strategies and business models. The outcome of this is quite often the over-provisioning of network resources and also a lack of knowledge in respect to the user’s satisfaction. The focus is the methodology for quantifying the user’s perception of service quality for mobile video services and user contexts. The statistical technique of discriminant analysis is employed in defining prediction models to map Quality-of-Service (QoS) parameters onto estimates of the user’s QoE ratings. The chapter considers the relative contribution of the QoS parameters to predicting user responses. The chapter also demonstrates the value of the prediction models in developing QoE management strategies in order to optimize network resource utilization. To investigate the versatility of the framework, a feasibility study was applied to a P2P TV system. P2P systems continue to develop and as such, not a lot is known about their QoE characteristics, which situation this chapter seeks to remedy.

Quality of Cloud Services

2012 ◽  
pp. 1609-1620
Author(s):  
Anette Weisbecker
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Business Models ◽  
Value Added ◽  
Cloud Services ◽  
The Internet ◽  
Success Factor ◽  
Distributed Resources ◽  
Critical Success

Cloud Computing has become the predominant paradigm in information technology for the use of distributed resources. It enables the Internet of Services where different provider offer services and compose services to new value added services. For the emerging service value chains the quality the services plays an important role. Therefore, beside software engineering methods aspects like quality of services, business models, and the interaction with the customer have to be considered during the development of cloud services. This chapter describes how these aspects can be integrated in the development process by combining software and service engineering methods and considering quality as a critical success factor in the design time.

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