Applied Research of Cloud Computing in the Tool Radius Compensation Discrimination of Numerical Control Programming

2014 ◽  
Vol 539 ◽  
pp. 625-629
Author(s):  
Xiao Jun Zhao
Keyword(s):  
Cloud Computing ◽  
Numerical Control ◽  
Validity And Reliability ◽  
Programming Tool ◽  
Radius Compensation ◽  
Tool Compensation ◽  
Control Equation ◽  
The Cost ◽  
Computer Resources ◽  
Compensation Curve

The cloud computing can allocate computer resources according to customers different demand dynamic status, which has improved the calculation efficiency, and saved the cost of hardware. This paper establishes the 3D mathematical model of data programming tool radius compensation system, and gets the tool radius compensation control equation according to the interpolation function. It designs the tool radius compensation discrimination system with the combination of UG software. In order to verify the validity and reliability of the system, the paper takes the processing process of leaf as an example to design the tool radius compensation algorithm, and the compensation deviation has been made numerical simulation, which has obtained error compensation curve and tool radius compensation parameter table. It can obtain reasonable tool compensation cutter and cycle according to the input of tool parameters, which provides technical support for the research of numerical control (NC) machining technology.

Massive Image Treatment System Based on Cloud Computing Platform

2014 ◽  
Vol 687-691 ◽  
pp. 3733-3737
Author(s):  
Dan Wu ◽  
Ming Quan Zhou ◽  
Rong Fang Bie
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Virtual Space ◽  
Image Processing System ◽  
Computing Platform ◽  
Simulation Calculation ◽  
Computer Resources

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

The Impact of Cloud Computing on Organizational Performance

2021 ◽  
Vol 11 (4) ◽  
pp. 136-151
Author(s):  
Thura Al-Azzawi ◽  
Tugberk Kaya
Keyword(s):  
Cloud Computing ◽  
Human Resources ◽  
Organizational Performance ◽  
Business Performance ◽  
Direct Relation ◽  
Organizational Agility ◽  
Cloud Computing Adoption ◽  
The Cost ◽  
The Impact ◽  
The Relationship

The use of cloud computing has remarkable advantages in business performance. It is related especially in the portion of the organizational environment, such as organizational culture and organizational agility. Organizational agility provides an easier process to search and retrieve knowledge and allow the businesses to utilize and apply this knowledge to get high-quality services. Agility and culture factors can help organizations to enhance their cloud computing adoption. The achievement of any organization is dependent upon human resources. With human resources, the organization can develop its employees by sharing knowledge, skill, and experience of personnel. Expert cloud has a significant impact on and direct relation with human resources as it facilitates the communication among human resources better, more efficiently, and reduces the cost of the service. In this paper, the authors discuss the relationship between expert cloud and human resources to enhance the organizational performance through the assistance of organizational agility and culture.

Location and Provisioning Problems in Cloud Computing Networks

2013 ◽  
pp. 22-45 ◽  
Author(s):  
Federico Larumbe ◽  
Brunilde Sansò
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Data Centers ◽  
Optimization Problems ◽  
Virtual Machine Placement ◽  
Future Research ◽  
Network Efficiency ◽  
Placement Problem ◽  
The Cost

This chapter addresses a set of optimization problems that arise in cloud computing regarding the location and resource allocation of the cloud computing entities: the data centers, servers, software components, and virtual machines. The first problem is the location of new data centers and the selection of current ones since those decisions have a major impact on the network efficiency, energy consumption, Capital Expenditures (CAPEX), Operational Expenditures (OPEX), and pollution. The chapter also addresses the Virtual Machine Placement Problem: which server should host which virtual machine. The number of servers used, the cost, and energy consumption depend strongly on those decisions. Network traffic between VMs and users, and between VMs themselves, is also an important factor in the Virtual Machine Placement Problem. The third problem presented in this chapter is the dynamic provisioning of VMs to clusters, or auto scaling, to minimize the cost and energy consumption while satisfying the Service Level Agreements (SLAs). This important feature of cloud computing requires predictive models that precisely anticipate workload dimensions. For each problem, the authors describe and analyze models that have been proposed in the literature and in the industry, explain advantages and disadvantages, and present challenging future research directions.

The Economics of Cloud Computing

2015 ◽  
pp. 2135-2148 ◽  
Author(s):  
Federico Etro
Keyword(s):  
Cloud Computing ◽  
New Technology ◽  
Fixed Costs ◽  
Substantial Impact ◽  
Market Structures ◽  
The Public ◽  
Marginal Costs ◽  
Job Reallocation ◽  
New Business ◽  
The Cost

This chapter examines the economic impact of the diffusion of a new technology as cloud computing. This will allow firms to rent computing power and storage from service providers, and to pay on demand, with a profound impact on the cost structure of all the industries, turning some of the fixed costs in marginal costs of production. Such a change will have a substantial impact on the incentives to create new business, and through this, on: investments and macroeconomic growth, job creation in all industries and job reallocation in the ICT sector, and public finance accounts, through the direct impact on the public sector spending and the indirect one on the tax revenues. In this study, the author investigates the consequences of the diffusion of cloud computing on market structures and competition and tries to disentangle the above mentioned aspects with a particular focus on a simulation run for the European economy.

Load Balancing and Prudential Hypervisor in Cloud Computing

2019 ◽  
pp. 196-214
Author(s):  
G. Soniya Priyatharsini ◽  
N. Malarvizhi
Keyword(s):  
Cloud Computing ◽  
Time Delay ◽  
Load Balancing ◽  
Service Time ◽  
Service Model ◽  
The Cost ◽  
Cloud Users ◽  
Available Resources

Cloud computing is a service model in internet that provides virtualized resources to its clients. These types of servicing give a lot of benefits to the cloud users where they can pay as per their use. Even though they have benefits, they also face some problems like receiving computing resources, which is guaranteed on time. This time delay may affect the service time and the makespan. Thus, to reduce such problems, it is necessary to schedule the resources and then allocate it to using an optimized hypervisor. Here, the proposed method is used to do the above-mentioned problem. First, the available resources are clustered with respect to their characteristics. Then the resources are scheduled using this method. Finally, with respect to that of the clients request the resources, the resources are allocated. Here, the cost is the fitness of the allocation.

Cloud Computing

2018 ◽  
pp. 233-259
Author(s):  
Shailendra Singh ◽  
Sunita Gond
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Educational Institutions ◽  
Personal Computing ◽  
The World ◽  
Long Time ◽  
The Cost ◽  
Shared Network ◽  
Cloud Users ◽  
Distributed And Parallel Computing

As this is the age of technology and every day we are receiving the news about growing popularity of internet and its applications. Cloud computing is an emerging paradigm of today that is rapidly accepted by the industry/organizations/educational institutions etc. for various applications and purpose. As computing is related to distributed and parallel computing which are from a very long time in the market, but today is the world of cloud computing that reduces the cost of computing by focusing on personal computing to data center computing. Cloud computing architecture and standard provide a unique way for delivering computation services to cloud users. It is having a simple API (Application Platform Interface) to users for accessing storage, platform and hardware by paying-as-per-use basis. Services provided by cloud computing is as same as other utility oriented services like electricity bill, water, telephone etc. over shared network. There are many cloud services providers in the market for providing services like Google, Microsoft, Manjrasoft Aneka, etc.

Cloud Computing for On-Demand Virtual Desktops and Labs

2012 ◽  
pp. 111-125
Author(s):  
Christoph Reich ◽  
Sandra Hübner ◽  
Hendrik Kuijs
Keyword(s):  
Cloud Computing ◽  
Learning Experience ◽  
Cloud Services ◽  
The Internet ◽  
It Infrastructure ◽  
On Demand ◽  
E Learning ◽  
Collaboration Platforms ◽  
Computer Resources ◽  
Support Research

Cloud computing is used to provide users with computer resources on-demand any time over the Internet. At the Hochschule Furtwangen University (HFU) students, lecturers, and researchers can leverage cloud computing to enhance their e-learning experience. This chapter presents how cloud computing provides on-demand virtual desktops for problem solving, on-demand virtual labs for special courses, and on-demand collaboration platforms to support research groups. The focus is how cloud services can be used, how they can be integrated into the existing HFU-IT infrastructure, and how new didactic models could look.

scholarly journals Fog Computing Framework for Smart City Design

2020 ◽  
Vol 14 (01) ◽  
pp. 109
Author(s):  
Mais Haj Qasem ◽  
Alaa Abu-Srhan ◽  
Hutaf Natoureah ◽  
Esra Alzaghoul
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Smart City ◽  
Network Architecture ◽  
Data Exchange ◽  
Fog Computing ◽  
Computing Paradigm ◽  
Network Usage ◽  
The Cost

Fog-computing is a new network architecture and computing paradigm that uses user or near-users devices (network edge) to carry out some processing tasks. Accordingly, it extends the cloud computing with more flexibility the one found in the ubiquitous networks. A smart city based on the concept of fog-computing with flexible hierarchy is proposed in this paper. The aim of the proposed design is to overcome the limitations of the previous approaches, which depends on using various network architectures, such as cloud-computing, autonomic network architecture and ubiquitous network architecture. Accordingly, the proposed approach achieves a reduction of the latency of data processing and transmission with enabled real-time applications, distribute the processing tasks over edge devices in order to reduce the cost of data processing and allow collaborative data exchange among the applications of the smart city. The design is made up of five major layers, which can be increased or merged according to the amount of data processing and transmission in each application. The involved layers are connection layer, real-time processing layer, neighborhood linking layer, main-processing layer, data server layer. A case study of a novel smart public car parking, traveling and direction advisor is implemented using IFogSim and the results showed that reduce the delay of real-time application significantly, reduce the cost and network usage compared to the cloud-computing paradigm. Moreover, the proposed approach, although, it increases the scalability and reliability of the users’ access, it does not sacrifice much time, nor cost and network usage compared to fixed fog-computing design.

Numerical Control Programming System for Mill-Turn Machining

2015 ◽  
Vol 799-800 ◽  
pp. 1154-1157
Author(s):  
Chen Hua She ◽  
Jian Yu Lin ◽  
Shen Yung Lin
Keyword(s):  
Computer Aided Design ◽  
Tool Path ◽  
Geometric Model ◽  
Control Program ◽  
Simulation Software ◽  
Numerical Control ◽  
Programming System ◽  
Nc Program ◽  
Machining System ◽  
The Cost

To develop the numerical control program of mill-turn machine, the traditional method is to apply the computer-aided design and manufacture software to construct the geometric model, then to generate tool path and convert the path to NC program. For complex numerical control program of mill-turn machine, such as the multiple turret synchronized motion machining, because of the need to control time sequence, the NC program is highly required on using of dedicated software system. The objective of this paper is to establish a mill-turn machining system with window interface of via the language of Borland C++ Builder. The developed system can plan the machining path of simple mill-turn features, including turning shape, axial slot milling, and radial packet milling, and generate the corresponding NC program. For the milling functions, after the offset coordinates are calculated along the polygonal angle vector in the center point of cutters, the NC program is generated. For the turning functions, through importing the 2D DXF (Drawing Exchange Format) file and inputting related configurations, the entity coordinates can be retrieved and the corresponding NC program is then converted. By means of the solid cutting simulation software and practical cutting experiment for the generated numerical control program, the accuracy of the tool path generation algorithm is confirmed. Hence, the cost of purchasing commercial software can be saved and the time of generating program can also be decreased so that the working efficiency can be enhanced.

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