Cloud computing lab experiments
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This document outlines the curriculum for a Cloud Computing lab class, including 7 experiments covering topics like Hadoop MapReduce, HDFS, deploying and using cloud services, managing cloud resources, security compliance in the cloud, performance evaluation of cloud services, and case studies of platforms like Google App Engine, Microsoft Azure, Hadoop and Amazon. It is signed by the head of the computer science department.
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available to its students and researchers, and by improving the utilization of hardware resources. In this project we
identify the requirements for such a system, by installing and con- figuring a prototype private cloud solution for
students at the college.Cloud technologies
This document discusses various topics related to cloud technologies. It begins with innovations enabled by cloud computing, such as artificial intelligence, smart cities, driverless cars, and the internet of things. It then defines cloud computing and describes its key characteristics, service models (infrastructure as a service, platform as a service, software as a service), and deployment models (public, private, hybrid). The document outlines advantages and disadvantages of cloud computing, as well as trends like edge computing and opportunities for careers as cloud architects. It also touches on cloud forensics, statistics, and some interesting facts about cloud data storage and usage.
On premise ai platform - from dc to edge
The document discusses the implementation of an on-premise AI platform at MIMOS Berhad, a Malaysian research institute. The platform makes use of existing on-premise services such as a private cloud, distributed storage, and authentication platform. It provides an AI training facility using containers on VMs, with distributed training and GPU/CPU support. A version management system stores AI models and applications in Docker images. Deployment is supported on the private cloud and edge devices using containers. The goal is to enable internal development and hosting of AI projects in a secure, customizable manner.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
This document summarizes a research paper that proposes a new efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The key contributions are:
1) It introduces a relevance score to the searchable encryption scheme to enable multi-keyword ranked search over encrypted documents. It also constructs an efficient index to improve search efficiency.
2) It modifies the blind storage system to solve the trapdoor unlinkability problem and conceal the search user's access pattern from the cloud server.
3) It provides security analysis showing the EMRS can achieve confidentiality of documents/index, trapdoor privacy, unlinkability, and conceal access patterns while experiments show it improves efficiency over existing proposals.
Enabling efficient multi keyword ranked
This document proposes an efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The EMRS enables search users to perform multi-keyword searches over encrypted documents stored on a cloud server and receive ranked search results based on relevance. It utilizes techniques like relevance scoring, secure k-nearest neighbor computation, and blind storage to provide search functionality while preserving security and privacy. The scheme is analyzed to demonstrate that it achieves confidentiality of documents and index, trapdoor privacy, trapdoor unlinkability, and conceals access patterns, addressing key security requirements. Experimental results show the EMRS provides improved efficiency and functionality compared to existing proposals.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...Pvrtechnologies Nellore
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storageCloud Computing Course
Cloud computing - A Hands-On Approach is written as a textbook on cloud computing for educational programs at colleges and universities, and also for cloud service providers who may be interested in offering a broader perspective of cloud computing to accompany their own customer and developer training programs.
These slides provide an outline of a suggested course outline based on the book. Additional support is available at the book's website: www.cloudcomputingbook.info
Nadim(093048) stz sir
A thesis presentation on Performance Analysis of Cloud Simulation By Using Cloud Simulator Toolkit Held on Department of Computer Science & Engineering , RUET in December, 2015
云计算及其应用
The document discusses cloud computing technology and applications. It provides an introduction to cloud computing concepts, distributed systems, MapReduce, and technologies like Google File System, BigTable and AppEngine. It then outlines the syllabus for a cloud computing course, including topics on virtualization, data centers, and guest lectures. Project presentations will account for 60% of the grading.
IRJET- Advanced Cloud in E-Libraries
This document discusses the potential benefits of implementing cloud computing technologies in libraries and e-libraries. It begins by providing background on cloud computing and how it can enable on-demand access to configurable computing resources. It then reviews related literature on cloud computing applications in educational and library settings. The document outlines some of the key advantages of cloud computing for libraries, such as improved efficiency, reduced expenses, enhanced collaboration, backup of information, and improved access and management of files. It also notes some potential disadvantages, such as issues relating to security, lack of control, and dependence on network performance. Overall, the document argues that cloud computing can be a useful tool for libraries to automate services and processes while reducing the need for on-site management
8th semester syllabus b sc csit-pawan kafle
Complete Syllabus For BScCSIT - 8th Semester .Tribhuvan University ,Institute of Science and Technology
-Pawan Kafle
Special Purpose IBM Center of excellence lab
The purpose of the lab to the latest skills required for Job opportunities in many industries . This helps faculties to develop their skills and publish papers in intenational conferences and also innovate solutions
Living Outside the Comfort Zone - Daron green florianopolis 5-7-2014
Overview of cutting-edge Microsoft Research activities plus an introduction to Azure for Research. Specific Brazil call for proposals - 15 June.
Knowledge labs cc1
The document discusses cloud computing projects for final year students based on 2011-2012 IEEE papers. It provides an overview of cloud computing concepts like SaaS, PaaS, IaaS and virtualization. It then lists over 30 potential cloud computing project topics derived from recent IEEE papers covering areas like load balancing, security, storage management, and network management. It outlines the training and methodology that will be used for the projects including requirements gathering, design, development, testing and documentation review. Contact details are provided to inquire about these cloud computing final year projects.
Cloud Computing Introduction
The document provides information about an online class on cloud computing given by D.Shunmuga Kumari. It defines cloud computing as storing and accessing data and programs over the internet instead of a computer's hard drive. It then discusses key aspects of cloud computing including cloud providers like IBM, HP, Google, and Microsoft; examples of cloud applications; characteristics of cloud; service models; and deployment models. The conceptual view of cloud computing is that it provides dynamically scalable infrastructure for applications, data, and file storage through connecting large pools of resources over networks.
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Cloud computing lab experiments
- 1. ACROPOLIS TECHNICAL CAMPUS Dept of computer science Subject Code: CS 703 Subject Nomenclature: Cloud Computing Lab Class: 4th year/7th Sem Branch: Computer Science & Engineering Subject Teacher: Prof. Richendra Kumar Ravi Prof. Meeta Dave List of Experiment : i) Software study - Hadoop MapReduce & HDFS ii) Service deployment & Usage over cloud. iii) Managing Cloud Computing Resources iv) Using existing cloud characteristics & Service models v) With cloud computing, as with data breaches, it is a question of “when” not “if”, so what can information security professionals do practically to manage security compliance in the cloud? vi) Performance evaluation of services over cloud vii) Case study: Google App Engine, Microsoft Azure viii) Case study: Hadoop, Amazon, Aneka Signature of Faculty: Head of department Computer Science & Engg.