scholarly journals A Cost Estimation Model for Cloud Services and Applying to PC Laboratory Platforms

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 76
Author(s):  
KyungWoon Cho ◽  
Hyokyung Bahn
Keyword(s):  
Cost Estimation ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Public Cloud ◽  
Estimation Model ◽  
The Public ◽  
Laboratory Services ◽  
Cost Estimation Model ◽  
The Cost

IaaS (Infrastructure as a Service) is a well-known computing service, which provides infrastructures over the cloud without owning real hardware resources. This is attractive as resources can be scaled up and down instantly according to the user’s computing demands. Customers of such services would like to adjust the utilization policy promptly by considering the charge of the service, but an instantaneous response is not possible as it takes several hours or even a couple of days for cloud service providers to inform the billing information. In this article, we present an instant cost estimation model for estimating the cost of public cloud resources. Specifically, our model estimates the cost of IaaS by monitoring the usage of resources on behalf of virtual machine instances. As this is performed by generating a user-side metering daemon, it is very precise and thus similar to the resource usage evaluated by the cloud service provider. To validate our model, we run PC laboratory services for 50 students in two classes by making use of a public cloud during a semester. Experimental results show that the accuracy of our model is over 99.3% in comparison with the actual charge of the public cloud.

Insights on Cost Estimation Methods and its Uses in Software Project Design

2020 ◽  
pp. 166-169
Author(s):  
Aravindhan K
Keyword(s):  
Project Management ◽  
Cost Estimation ◽  
Estimation Methods ◽  
Software Project ◽  
Estimation Model ◽  
Software Projects ◽  
Software Applications ◽  
Software Companies ◽  
Cost Estimation Model ◽  
The Cost

Cost estimation of software projects is risky task in project management field. It is a process of predicting the cost and effort required to develop a software applications. Several cost estimation models have been proposed over the last thirty to forty years. Many software companies track and analyse the current project by measuring the planed cost and estimate the accuracy. If the estimation is not proper then it leads to the failure of the project. One of the challenging tasks in project management is how to evaluate the different cost estimation and selecting the proper model for the current project. This paper summarizes the different cost estimation model and its techniques. It also provides the proper model selection for the different types of the projects.

scholarly journals Selection of optimal data placement using cloud infrastructure

2021 ◽  
pp. 34-42
Author(s):  
Vladimir Meikshan ◽  
◽  
Natalia Teslya ◽  
Keyword(s):  
Mathematical Model ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Information Storage ◽  
Cloud Infrastructure ◽  
Digital Ecosystem ◽  
Cloud Service Providers ◽  
The Cost

Benefits of using cloud technology are obvious, their application is expanding, as a result, it determines the steady growth of demand. Cloud computing has acquired particular relevance for large companies connected with Internet services, retailing, logistics that generate large volume of business and other information. The use of cloud technologies allows organizing the joint consumption of resources, solving the problems of storing and transferring significant amounts of data. Russian consumer cooperation refers to large territory distributed organizations actively forming their own digital ecosystem. The issue of data storing and processing for consumer coo-peration organizations is very relevant. At the same time, the prices of cloud service providers are significantly different and require solving the problem of minimizing the cost of storing and transferring significant amounts of data. The application of the linear programming method is considered to select the optimal data storage scheme for several cloud service providers having different technical and economic parameters of the package (maximum amount of storage, cost of allocated resources). Mathematical model includes the equation of costs for data storing and transferring and restrictions on the amount of storage, the amount of data and its safety. Software tool that allows to perform numerical calculations is selected Microsoft Excel in combination with the "search for solutions" add-on. In accordance with the mathematical model, the conditions for minimizing the amount of cloud storage costs and the necessary restrictions are established. Initial data are set for three data forming centers, storages of certain size for five cloud service providers and nominal price for information storage and transmission. Calculations of expenses are performed in several variants: without optimization, with the solution of the optimization problem, with price increase by cloud service providers. Results of the calculations confirm the necessity to solve the problem of minimizing the cost of cloud services for corporate clients. The presented model can be expanded for any cost conditions as well as for different areas of cloud applications.

System Benchmarking on Public Clouds

2015 ◽  
pp. 37-50
Author(s):  
Sanjay P. Ahuja ◽  
Thomas F. Furman ◽  
Kerwin E. Roslie ◽  
Jared T. Wheeler
Keyword(s):  
Service Providers ◽  
Cluster Formation ◽  
Cloud Service ◽  
Vital Role ◽  
Cloud Services ◽  
System Level ◽  
Public Cloud ◽  
Cloud Providers ◽  
Set Up ◽  
Levels Of Service

There are several public cloud providers that provide service across different cloud models such as IaaS, PaaS, and SaaS. End users require an objective means to assess the performance of the services being offered by the various cloud providers. Benchmarks have typically been used to evaluate the performance of various systems and can play a vital role in assessing performance of the different public cloud platforms in a vendor neutral manner. Amazon's EC2 Service is one of the leading public cloud service providers and offers many different levels of service. The research in this chapter focuses on system level benchmarks and looks into evaluating the memory, CPU, and I/O performance of two different tiers of hardware offered through Amazon's EC2. Using three distinct types of system benchmarks, the performance of the micro spot instance and the M1 small instance are measured and compared. In order to examine the performance and scalability of the hardware, the virtual machines are set up in a cluster formation ranging from two to eight nodes. The results show that the scalability of the cloud is achieved by increasing resources when applicable. This chapter also looks at the economic model and other cloud services offered by Amazon's EC2, Microsoft's Azure, and Google's App Engine.

Application of Parametric Cost Estimation Model to Telecommunication Networks

2011 ◽  
pp. 150-167
Author(s):  
Swadesh Kumar Samanta ◽  
John Woods ◽  
Mohammed Ghanbari
Keyword(s):  
Cost Estimation ◽  
Research Effort ◽  
Real Data ◽  
Telecommunication Networks ◽  
Estimation Model ◽  
Parametric Cost Estimation ◽  
Cost Estimation Model ◽  
Two Parameters ◽  
The Cost ◽  
Telecom Network

The parametric cost estimation approach has proved to be an efficient method for analyzing complex systems such as spacecraft, missiles, ships, buildings, etc where cost varies according to a number of parameters. The cost to provision a telecom network also depends on a number of parameters; but little research effort has been applied to estimate cost using this approach. In estimating the cost of a telecom network, most published research has considered two parameters; distance and bandwidth of a link and ignored the effects of other parameters. We have modelled the cost based on distance, bandwidth, geographical terrain and technology simultaneously using a parametric cost estimation methodology applied to real data obtained from the Indian Telecom Company, BSNL. Using the model, we show how a cost optimized network can be designed given the real world constraints. The applicability of our model to determine revenue sharing mechanism for an international call is also demonstrated. [Article copies are available for purchase from InfoSci-on-Demand.com]

Integration of friction stir welding into a multi-disciplinary aerospace design framework

2006 ◽  
Vol 110 (1113) ◽  
pp. 759-766 ◽  
Author(s):  
A. H. van der Laan ◽  
R. Curran ◽  
M. J. L. van Tooren ◽  
C. Ritchie
Keyword(s):  
Friction Stir Welding ◽  
Cost Estimation ◽  
Multidisciplinary Design ◽  
Manufacturing Cost ◽  
Automated Manufacturing ◽  
Estimation Model ◽  
Friction Stir ◽  
Manufacturing Methods ◽  
Cost Estimation Model ◽  
The Cost

Abstract Multidisciplinary design and innovative highly automated manufacturing methods are increasingly important to today’s aircraft industry: multidis-ciplinary design because it reduces lead-time and results in a better design, and automated manufacturing methods because they are more capable and reduce manufacturing cost. In this paper a cost estimation model is presented that integrates the manufacturing cost of friction stir welded connections within a multidisciplinary design decision tool. Due to the fact that friction stir welding is a new manufacturing method, the cost estimation model is based on the actual process physics, meaning what the process looks like in terms of processing speeds and characteristics. As an integral part of a multidisciplinary design framework, the developed cost estimation model contributes to a design support tool that assesses not only manufacturing but also structural and aerodynamic issues. It is shown that the cost model developed can be integrated into this more holistic design process support architecture. The predicted costs are accurate to the historical data and allow tradeoff of manufacturing and economic considerations within the context of the multidisciplinary design tool. The tradeoff capability is highlighted through a presented case study that compares the friction stir welding process as an alternative solution to more tradition riveting. Most importantly, this results in a quantitative tradeoff between two processes that shows the manufacturing cycle time of friction stir welding to be reduced by 60% and the recurring assembly cost by 20%.

Cost Analysis of Carbon Emission Based on Carbon Finance

2014 ◽  
Vol 1065-1069 ◽  
pp. 3030-3034
Author(s):  
Nai Ping Zhu ◽  
Qi Zhao ◽  
Yang Shen
Keyword(s):  
Carbon Emissions ◽  
Cost Estimation ◽  
Carbon Emission ◽  
Cost Control ◽  
Added Value ◽  
Estimation Model ◽  
Factors Affecting ◽  
Cost Estimation Model ◽  
Carbon Finance ◽  
The Cost

For the purpose of encouraging enterprises to save energy and reduce emissions from the internal demand and providing insight and inspiration to future study,this article not only describes the carbon finance coefficient model based on factors related to carbon finance but also establishes cost estimation model of carbon emissions according to the factors affecting the cost of carbon emissions and carbon finance coefficient.The resulted shows that carbon emissions currency cost namely the monetary costs of carbon emissions is the market value and the currency value of carbon emissions cost based on the financial market conditions.The result of the present work introduces that the cost of carbon emission has a correlation with prevention costs,cost control,carbon content,industrial added value,carbon finance index and so on so that governments and enterprises should take some measures such as perfecting carbon finance system and setting up the cost control of system consciousness to reduce the cost of carbon emissions and protect our environment.

scholarly journals A Generic Cost Estimating Approach for a Composite Manufacturing Process Assessment

2021 ◽  
Author(s):  
Justyna Rybicka ◽  
Teresa Purse ◽  
Brett Parlour
Keyword(s):  
Cost Estimation ◽  
Model Development ◽  
Manufacturing Processes ◽  
Cost Estimating ◽  
Estimation Model ◽  
Composite Manufacturing ◽  
Composites Manufacturing ◽  
Cost Estimation Model ◽  
High Level ◽  
The Cost

Cost estimation helps build confidence in the feasibility of the development of novel manufacturing processes. This paper focuses on the exploration of the cost estimation for novel manufacturing processes for decision support. One of the aspects of estimation is building credibility around the analysis, especially, in the early stages of planning. Cost estimating guidelines provide a good overview of the cost estimation steps but there is a requirement for guidelines for cost estimation model development. Through building on an understanding of the cost estimation principles, as well as cost estimation modelling, a high-level generic approach for process cost estimation is proposed. Further, a demonstration of a cost estimation modelling approach used for composites manufacturing in the automotive sector is provided, outlining the steps in cost estimation model development.

scholarly journals Pipelined XPath Query Based on Cost Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Rongxin Chen ◽  
Zongyue Wang ◽  
Yuling Hong
Keyword(s):  
Cost Estimation ◽  
Cost Optimization ◽  
Stream Processing ◽  
Estimation Model ◽  
Construction Technique ◽  
Pipeline Construction ◽  
Pipeline Processing ◽  
Cost Estimation Model ◽  
The Cost ◽  
Xpath Query

XPath query is the key part of XML data processing, and its performance is usually critical for XML applications. In the process of XPath query, there is inherent seriality between query steps, which makes it difficult to parallelize the query effectively as a whole. On the other hand, although XPath query has the characteristics of data stream processing and is suitable for pipeline processing, the data flow of each query step usually varies a lot, which results in limited performance under multithreading conditions. In this paper, we propose a pipelined XPath query method (PXQ) based on cost optimization. This method uses pipelined query primitives to process query steps based on relation index. During pipeline construction, a cost estimation model based on XML statistics is proposed to estimate the cost of the query primitive and provide guidance for the creation of a pipeline phase through the partition of query primitive sequence. The pipeline construction technique makes full use of available worker threads and optimizes the load balance between pipeline stages. The experimental results show that our method can adapt to the multithreaded environment and stream processing scenarios of XPath query, and its performance is better than the existing typical query methods based on data parallelism.

scholarly journals The Use of Experts Panels in ERP Cost Estimation Research

2013 ◽  
pp. 675-688
Author(s):  
Ahmed Elragal ◽  
Moutaz Haddara
Keyword(s):  
Enterprise Resource Planning ◽  
Cost Estimation ◽  
Resource Planning ◽  
Exploratory Research ◽  
Estimation Model ◽  
Cost Drivers ◽  
Cost Estimation Model ◽  
Visualization Techniques ◽  
The Cost ◽  
Cost Factors

This chapter is an effort towards illustrating the use of expert panels (EP) as a means of eliciting knowledge from a group of enterprise resource planning (ERP) experts in an exploratory research. The development of a cost estimation model for ERP adoptions is very crucial for research and practice, and that was the main reason behind the willingness of experts to participate in this research. The use of EP was very beneficial as it involved various data collection and visualization techniques, as well as data validation and confirmation. Arguments for using EP over other group techniques are presented in this chapter. Experts modified and enhanced the initial cost drivers list and their sub-factors significantly, as they added, modified, merged and split different costs. Moreover, they ranked the cost drivers according to their weight on total costs. All of this helped the authors to better understand relationships among various cost factors.

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