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A Virtualization Model for Cloud Computing
Cloud Computing is now a very emerging field in the IT industry as well as research field. The advancement of Cloud Computing came up due to fast-growing usage of internet among the people. Cloud Computing is basically on-demand network access to a collection of physical resources which can be provisioned according to the need of cloud user under the supervision of Cloud Service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. Virtualization technology is widely applied to modern data center for cloud computing. Virtualization is used computer resources to imitate other computer resources or whole computers. This paper provides a Virtualization model for cloud computing that may lead to faster access and better performance. This model may help to combine self-service capabilities and ready-to-use facilities for computing resources.
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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Cloud computing is a new computing paradigm that delivers resources as general utilities over the Internet. It offers advantages like no upfront investment, lower operating costs through scalability, and easy access to resources. However, cloud computing also faces challenges that need to be addressed, like standardization and security. The paper surveys the key concepts, architecture, implementations, and research challenges of cloud computing.
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This document discusses the core concepts of cloud computing. It begins by explaining how cloud computing evolved from earlier technologies like mainframe computing, client-server systems, virtualization, distributed computing, and internet technologies. It then defines the key aspects of cloud computing models, including service models (IaaS, PaaS, SaaS) and deployment models (private, public, hybrid cloud). The document also outlines some of the core desired features of cloud computing like self-service, elasticity, metering and billing, and customization. Finally, it discusses some challenges and risks of cloud computing including security, privacy, trust issues as well as dependency on the cloud infrastructure.
cloude computing report
The document discusses cloud computing, defining it as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Some key points:
- Cloud computing builds on distributed computing approaches like grid computing by centralizing computation and storage in distributed data centers managed by third parties.
- It aims to provide IT services on-demand with flexibility, availability, reliability and scalability using a utility computing model.
- Cloud computing architectures involve multiple cloud components communicating over APIs, resembling the Unix philosophy of multiple programs working together over universal interfaces.
Cloud computing report
This document provides a seminar report on cloud computing submitted by Vanama Vamsi Krishna in partial fulfillment of the requirements for a Bachelor of Technology degree. The 3-page report includes an abstract, table of contents, introduction on cloud computing concepts, a brief history of cloud computing, key characteristics of cloud computing including cost, scalability and reliability, components and architecture of cloud computing, types and roles in cloud computing, merits and demerits, and a conclusion. The report provides a high-level overview of cloud computing fundamentals.
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Cloud computing is a new computing paradigm that delivers resources as general utilities over the Internet. It offers advantages like no upfront investment, lower operating costs through scalability, and easy access to resources. However, cloud computing also faces challenges that need to be addressed, like standardization and security. The paper surveys the key concepts, architecture, implementations, and research challenges of cloud computing.
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This document discusses the core concepts of cloud computing. It begins by explaining how cloud computing evolved from earlier technologies like mainframe computing, client-server systems, virtualization, distributed computing, and internet technologies. It then defines the key aspects of cloud computing models, including service models (IaaS, PaaS, SaaS) and deployment models (private, public, hybrid cloud). The document also outlines some of the core desired features of cloud computing like self-service, elasticity, metering and billing, and customization. Finally, it discusses some challenges and risks of cloud computing including security, privacy, trust issues as well as dependency on the cloud infrastructure.
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The document discusses cloud computing, defining it as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Some key points:
- Cloud computing builds on distributed computing approaches like grid computing by centralizing computation and storage in distributed data centers managed by third parties.
- It aims to provide IT services on-demand with flexibility, availability, reliability and scalability using a utility computing model.
- Cloud computing architectures involve multiple cloud components communicating over APIs, resembling the Unix philosophy of multiple programs working together over universal interfaces.
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This document provides a seminar report on cloud computing submitted by Vanama Vamsi Krishna in partial fulfillment of the requirements for a Bachelor of Technology degree. The 3-page report includes an abstract, table of contents, introduction on cloud computing concepts, a brief history of cloud computing, key characteristics of cloud computing including cost, scalability and reliability, components and architecture of cloud computing, types and roles in cloud computing, merits and demerits, and a conclusion. The report provides a high-level overview of cloud computing fundamentals.
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2) It formulates a deadline-driven resource allocation problem based on virtual machine isolation technology and proposes an optimal solution with polynomial time complexity.
3) Experimental results show that the proposed work more efficiently schedules and allocates resources, improving utilization of cloud infrastructure resources.
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This document discusses cloud computing. It begins with an introduction defining cloud computing as allowing users to access virtually unlimited computing resources over the internet. It then discusses the architecture of cloud computing including front-end and back-end components. The main components of a cloud are infrastructure, storage, platform, applications, services, and clients. There are different types of clouds including public clouds, private clouds, and hybrid clouds that use a mix of internal and external providers. Cloud services are divided into infrastructure as a service, platform as a service, and software as a service. The document concludes with some key characteristics of cloud computing such as its cost effectiveness and features like platform and location independence.
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This document provides a seminar report on cloud computing presented by Divyesh Shah at LDRP Institute of Technology & Research in October 2013. The report includes an introduction to cloud computing, types of clouds and stakeholders, advantages of cloud computing, cloud architecture comparing cloud computing to grid computing and relating it to utility computing, popular cloud applications including Amazon EC2 and S3 and Google App Engine, and applications of cloud computing in India including e-governance and rural development. The report was prepared under the guidance of Mrs. Avani Dadhania.
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This document discusses an efficient architectural framework for cloud computing. It begins by providing background on cloud computing and discusses challenges such as security, privacy, and reliability. It then proposes a new architectural framework that separates infrastructure as a service (IaaS) into three sub-modules: IaaS itself, a hypervisor monitoring environment (HME), and resources as a service (RaaS). The HME acts as middleware between IaaS and physical resources, using a hypervisor to allocate resources from a pool managed by RaaS. This proposed framework is intended to improve performance and access speed for cloud computing.
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This document discusses cloud computing, including its architecture, security issues, and types of attacks. It begins by defining cloud computing and describing its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then outlines the three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models of private cloud, community cloud, public cloud, and hybrid cloud are also defined. Finally, it notes that the document will focus on exploring the security issues that arise from the nature of cloud service delivery and the types of attacks seen in cloud environments.
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This document discusses the basics of cloud computing, including definitions, characteristics, deployment strategies, service models, opportunities, challenges, and issues. Specifically, it defines cloud computing as on-demand access to configurable computing resources via the internet. The key characteristics of cloud computing are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the public, private, and hybrid deployment strategies as well as software (SaaS), platform (PaaS), and infrastructure (IaaS) service models. Finally, it discusses opportunities for end users, businesses and developers, and examines challenges related to security, performance, availability, cost, and regulatory requirements.
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This document discusses cloud computing. It begins with an introduction defining cloud computing as allowing users to access virtually unlimited computing resources over the internet. It then discusses the architecture of cloud computing including front-end and back-end components. The main components of a cloud are infrastructure, storage, platform, applications, services, and clients. There are different types of clouds including public clouds, private clouds, and hybrid clouds that use a mix of internal and external providers. Cloud services are divided into infrastructure as a service, platform as a service, and software as a service. The document concludes with some key characteristics of cloud computing such as its cost effectiveness and features like platform and location independence.
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Chapter-1
Introduction to objective, scope and outcome the subject
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Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
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Chapter 6
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HYPERTENSION - SLIDE SHARE PRESENTATION.
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The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
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