Virtualization
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In computing, virtualization refers to the act of creating a virtual (rather than actual) version of something, including (but not limited to) a virtual computer hardware platform, operating system (OS), storage device, or computer network resources.
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History of virtualization
Virtualization technology originated on mainframe computers in the 1960s to more efficiently utilize processing power. Early virtualization methods were difficult to manage for dynamic business needs. This led to innovations in virtualization strategies and technologies over time. Key developments included the first hypervisor in 1965, IBM's CP-40 implementation in the 1970s, and increased popularity on personal computers in the 1980s-1990s. VMware introduced desktop and server virtualization products in the late 1990s and 2000s that helped drive broader adoption.
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Platform virtualization allows you to create virtual machines that behave like physical computers, enabling you to install multiple operating systems and programs on a single machine at once. It uses hypervisor software to emulate hardware and allocate resources to guest systems, while the actual hardware resources belong to the host system. Popular virtualization platforms include Xen, Microsoft Virtual PC, Qemu, VirtualBox, and VMWare, and virtualization provides benefits like safe testing of new software and running multiple systems simultaneously on a single server.
How computers are used
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Virtual technology refers to creating virtual versions of computer hardware, operating systems, and other resources. Types of virtualization include server, application, presentation, network, and storage virtualization. Microsoft Hyper-V is a native hypervisor that can create virtual machines on Windows systems. To use Hyper-V, you install it in Windows features, open the Hyper-V Manager, configure networking like virtual switches, and create and install guest operating systems in new virtual machines.
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History of virtualization
Virtualization technology originated on mainframe computers in the 1960s to more efficiently utilize processing power. Early virtualization methods were difficult to manage for dynamic business needs. This led to innovations in virtualization strategies and technologies over time. Key developments included the first hypervisor in 1965, IBM's CP-40 implementation in the 1970s, and increased popularity on personal computers in the 1980s-1990s. VMware introduced desktop and server virtualization products in the late 1990s and 2000s that helped drive broader adoption.
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The document discusses the role and types of operating systems. It states that an operating system acts as an interface between hardware and users, managing resources and coordinating activities. Operating systems handle hardware details, relieving applications from this task. Examples of operating systems include Windows, Linux, and Mac OS X. The document outlines different types of operating systems including multiuser, multiprocessing, multitasking, and real-time operating systems. It also discusses traditional, web-based, and embedded computing environments that use operating systems.
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Platform virtualization allows you to create virtual machines that behave like physical computers, enabling you to install multiple operating systems and programs on a single machine at once. It uses hypervisor software to emulate hardware and allocate resources to guest systems, while the actual hardware resources belong to the host system. Popular virtualization platforms include Xen, Microsoft Virtual PC, Qemu, VirtualBox, and VMWare, and virtualization provides benefits like safe testing of new software and running multiple systems simultaneously on a single server.
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The document discusses different types of computers, including desktop and laptop models. Desktop computers are typically larger, less portable Windows or Mac machines that are cheaper than laptops and allow for easier upgrading. Laptops are portable computers that can be used in different environments and have become more powerful and capable. The document also lists examples of business and personal hardware, software, and applications for both desktops and laptops.
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Virtual technology refers to creating virtual versions of computer hardware, operating systems, and other resources. Types of virtualization include server, application, presentation, network, and storage virtualization. Microsoft Hyper-V is a native hypervisor that can create virtual machines on Windows systems. To use Hyper-V, you install it in Windows features, open the Hyper-V Manager, configure networking like virtual switches, and create and install guest operating systems in new virtual machines.
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Why do we need Virtualization?
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VMware
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1. Server Virtualization
2. Storage virtualization
3. I/O virtualization
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Virtualization refers to the act of creating a virtual (rather than actual) version of something, including virtual computer hardware platforms, operating systems, storage devices, and computer network resources.
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For example, a computer that is running Microsoft Windows may host a virtual machine that looks like a computer with the Ubuntu Linux operating system; Ubuntu-based software can be run on the virtual machine
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Kenny Morris presented at the 2009 AAMGA Automation Conference on server virtualization at CRC Insurance Services. Some key points:
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Software executed on these virtual machines is separated from the underlying hardware resources.
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Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It is used to improve efficiency and reduce costs. A virtual machine (VM) isolates a guest operating system and applications. The hypervisor controls host resources and allocates them to VMs. Benefits include resource sharing, isolation, hardware independence, and portability. Cloud computing takes virtualization further by offering on-demand resources over the internet. Security challenges include the large trusted computing base of the hypervisor. Solutions aim to reduce the TCB by removing the hypervisor or isolating its functions in hardware and management software.
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The document discusses interactive voice response (IVR) systems, which allow users to access information stored on computers via telephone. IVR systems use pre-recorded messages and prompts to provide services like banking information, travel booking, and agricultural rates. The author proposes developing multilingual IVR systems to better serve rural Indian communities by providing information in local languages over the telephone. These systems could help address issues of illiteracy and lack of access to technology in rural areas.
Data compression
In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation.[2] Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression.
Brain computer-interface-ppt
A brain–computer interface (BCI), sometimes called a mind-machine interface (MMI), direct neural interface (DNI), synthetic telepathy interface (STI) or brain–machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.
Trees
In computer science, a tree is a widely used abstract data type (ADT) or data structure implementing this ADT that simulates a hierarchical tree structure, with a root value and subtrees of children, represented as a set of linked nodes.
Introduction to parallel computing
This document provides an overview of parallel computing concepts. It defines parallel computing as using multiple compute resources simultaneously to solve a problem by breaking it into discrete parts that can be solved concurrently. It discusses Flynn's taxonomy for classifying computer architectures based on whether their instruction and data streams are single or multiple. Shared memory, distributed memory, and hybrid memory models are described for parallel computer architectures. Programming models like shared memory, message passing, data parallel and hybrid models are covered. Reasons for using parallel computing include saving time/money, solving larger problems, providing concurrency, and limits of serial computing.
Bluetooth mobileip
This document discusses Bluetooth and Mobile IP. It provides an overview of Bluetooth including its consortium, scenarios, specifications, and protocol architecture. It then discusses Mobile IP and the motivation for its development to allow for IP mobility as nodes change networks while maintaining ongoing connections and their IP address. The key requirement for Mobile IP is transparency, allowing mobile devices to keep their IP address and continue communication after changing networks.
Parallel computing persentation
Parallel computing is computing architecture paradigm ., in which processing required to solve a problem is done in more than one processor parallel way.
Full report on light peak technology
This document provides an overview of Intel's Light Peak technology, which uses fiber optic cables to transmit data at speeds up to 10Gbps over distances of up to 100 meters. It describes the key components of Light Peak, including the optical fiber, light sources, light detectors, and packaging. Light Peak aims to replace existing connection standards like USB and PCIe with a single universal optical connection. It allows for thinner, more flexible cables while providing higher bandwidth than copper-based standards. The document discusses how Light Peak addresses challenges with existing technologies and compares it favorably to USB 3.0 in terms of speed and cable length.
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22CYT12-Unit-V-E Waste and its Management.ppt
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As digital technology becomes more deeply embedded in power systems, protecting the communication
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represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
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Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
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dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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Virtualization
- 1. Virtualization By Pete Winslow, Erica Stine, Risa Shen, Jung Moon Jang, and Brian Chambers
- 2. What is virtualization? • Virtualization allows one computer to do the job of multiple computers. • Virtual environments let one computer host multiple operating systems at the same time
- 4. How does it work? • Virtualization transforms hardware into software. • It is the creation of a fully functional virtual computer that can run its own applications and operating system. • Creates virtual elements of the CPU, RAM, and hard disk.
- 5. Background and Evolution • Virtualization arose from a need in the 1960’s to partition large mainframe hardware. • Improved in the 1990s to allow mainframes to multitask. • First implemented by IBM more than 30 years ago.
- 7. Pros • Benefits include freedom in choice of operating system. • It saves time and money. • Consolidates server and infrastructure. • Makes it easier to manage and secure desktop environments.
- 8. Cons • Only powerful computers can successfully create virtual environment. • Requires training to operate.
- 9. Our Opinion • Virtualization is a cost-effective way to run multiple operating systems and software. It allows for greater access to basic system resources. It is safer and easier to manage than physical hardware.
- 10. The end • Thanks • Have a nice afternoon