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Cloud computing has become the ideal way to deliver enterprise applications—and the preferred solution for companies extending their infrastructure or launching new innovations..
Cloud computing is an abstraction of compute, storage, and network infrastructure assembled as a platform on which applications and systems can be deployed quickly and scaled on the fly. Crucial to cloud computing is self-service: Users can simply fill in a web form and get up and running.
The vast majority of cloud customers consume public cloud computing services over the internet, which are hosted in large, remote data centers maintained by cloud providers. The most common type of cloud computing, SaaS (software as service) , delivers prebuilt applications to the browsers of customers who pay per seat or by usage, exemplified by such popular apps as Salesforce, Google Docs, or Microsoft Teams. Next in line is IaaS (infrastructure as a service) , which offers vast, virtualized compute, storage, and network infrastructure upon which customers build their own applications, often with the aid of providers’ API -accessible services.
When people casually say “the cloud,” they most often mean the big IaaS providers: AWS (Amazon Web Services), Google Cloud, or Microsoft Azure. All three have become gargantuan ecosystems of services that go way beyond infrastructure: developer tools, serverless computing, machine learning services and APIs, data warehouses, and thousands of other services. With both SaaS and IaaS, a key benefit is agility. Customers gain new capabilities almost instantly without capital investment in hardware or software—and they can instantly scale the cloud resources they consume up or down as needed.
Way back in 2011, NIST posted a PDF that divided cloud computing into three “service models”—SaaS, IaaS, and PaaS (platform as a service) —the latter a controlled environment within which customers develop and run applications. These three categories have largely stood the test of time, although most PaaS solutions now make themselves available as services within IaaS ecosystems rather than presenting themselves as their own clouds.
Two evolutionary trends stand out since NIST’s threefold definition. One is the long and growing list of subcategories within SaaS, IaaS, and PaaS, some of which blur the lines between categories. The other is the explosion of API-accessible services available in the cloud, particularly within IaaS ecosystems. The cloud has become a crucible of innovation where many emerging technologies appear first as services, a big attraction for business customers who understand the potential competitive advantages of early adoption.
This type of cloud computing delivers applications over the internet, typically with a browser-based user interface. Today, the vast majority of software companies offer their wares via SaaS—if not exclusively, then at least as an option.
The most popular SaaS applications for business can be found in Google’s G Suite and Microsoft’s Office 365; most enterprise applications, including giant ERP suites from Oracle and SAP, come in both SaaS and on-prem versions. SaaS applications typically offer extensive configuration options as well as development environments that enable customers to code their own modifications and additions. They also enable data integration with on-prem applications.
At a basic level, IaaS cloud providers offer virtualized compute, storage, and networking over the internet on a pay-per-use basis. Think of it as a data center maintained by someone else, remotely, but with a software layer that virtualizes all those resources and automates customers’ ability to allocate them with little trouble.
But that’s just the basics. The full array of services offered by the major public IaaS providers is staggering: highly scalable databases , virtual private networks, big data analytics, developer tools, machine learning , application monitoring, and so on. Amazon Web Services was the first IaaS provider and remains the leader, followed by Microsoft Azure , Google Cloud Platform , Alibaba Cloud, and IBM Cloud .
PaaS provides sets of services and workflows that specifically target developers, who can use shared tools, processes, and APIs to accelerate the development, testing, and deployment of applications. Salesforce’s Heroku and Salesforce Platform (formerly Force.com) are popular public cloud PaaS offerings; Cloud Foundry and Red Hat’s OpenShift can be deployed on premises or accessed through the major public clouds. For enterprises, PaaS can ensure that developers have ready access to resources, follow certain processes, and use only a specific array of services, while operators maintain the underlying infrastructure.
FaaS, the cloud version of serverless computing , adds another layer of abstraction to PaaS, so that developers are completely insulated from everything in the stack below their code. Instead of futzing with virtual servers, containers, and application runtimes, developers upload narrowly functional blocks of code, and set them to be triggered by a certain event (such as a form submission or uploaded file). All the major clouds offer FaaS on top of IaaS: AWS Lambda , Azure Functions , Google Cloud Functions , and IBM Cloud Functions. A special benefit of FaaS applications is that they consume no IaaS resources until an event occurs, reducing pay-per-use fees.
A private cloud downsizes the technologies used to run IaaS public clouds into software that can be deployed and operated in a customer’s data center. As with a public cloud, internal customers can provision their own virtual resources to build, test, and run applications, with metering to charge back departments for resource consumption. For administrators, the private cloud amounts to the ultimate in data center automation, minimizing manual provisioning and management. VMware provides the most popular commercial private cloud software, while OpenStack is the open source leader.
Note, however, that the private cloud does not fully conform to the definition of cloud computing. Cloud computing is a service. A private cloud demands that an organization build and maintain its own underlying cloud infrastructure; only internal users of a private cloud experience it as a cloud computing service.
A hybrid cloud is the integration of a private cloud with a public cloud. At its most developed, the hybrid cloud involves creating parallel environments in which applications can move easily between private and public clouds. In other instances, databases may stay in the customer data center and integrate with public cloud applications—or virtualized data center workloads may be replicated to the cloud during times of peak demand. The types of integrations between private and public cloud vary widely, but they must be extensive to earn a hybrid cloud designation.
Just as SaaS delivers applications to users over the internet, public APIs offer developers application functionality that can be accessed programmatically. For example, in building web applications, developers often tap into the Google Maps API to provide driving directions; to integrate with social media, developers may call upon APIs maintained by Twitter, Facebook, or LinkedIn. Twilio has built a successful business delivering telephony and messaging services via public APIs. Ultimately, any business can provision its own public APIs to enable customers to consume data or access application functionality.
Data integration is a key issue for any sizeable company, but particularly for those that adopt SaaS at scale. iPaaS providers typically offer prebuilt connectors for sharing data among popular SaaS applications and on-premises enterprise applications, though providers may focus more or less on business-to-business and e-commerce integrations, cloud integrations, or traditional SOA-style integrations. iPaaS offerings in the cloud from such providers as Dell Boomi, Informatica, MuleSoft, and SnapLogic also let users implement data mapping, transformations, and workflows as part of the integration-building process.
The most difficult security issue related to cloud computing is the management of user identity and its associated rights and permissions across private data centers and pubic cloud sites. IDaaS providers maintain cloud-based user profiles that authenticate users and enable access to resources or applications based on security policies, user groups, and individual privileges. The ability to integrate with various directory services (Active Directory, LDAP, etc.) and provide single sign-on across business-oriented SaaS applications is essential. Okta is the clear leader in cloud-based IDaaS; CA, Centrify, IBM, Microsoft, Oracle, and Ping provide both on-premises and cloud solutions.
Collaboration solutions such as Slack and Microsoft Teams have become vital messaging platforms that enable groups to communicate and work together effectively. Basically, these solutions are relatively simple SaaS applications that support chat-style messaging along with file sharing and audio or video communication. Most offer APIs to facilitate integrations with other systems and enable third-party developers to create and share add-ins that augment functionality.
Key providers in such industries as financial services, health care, retail, life sciences, and manufacturing provide PaaS clouds to enable customers to build vertical applications that tap into industry-specific, API-accessible services. Vertical clouds can dramatically reduce the time to market for vertical applications and accelerate domain-specific B-to-B integrations. Most vertical clouds are built with the intent of nurturing partner ecosystems.
The most widely accepted definition of cloud computing means that you run your workloads on someone else’s servers, but this is not the same as outsourcing. Virtual cloud resources and even SaaS applications must be configured and maintained by the customer. Consider these factors when planning a cloud initiative.
Objections to the public cloud generally begin with cloud security , although the major public clouds have proven themselves much less susceptible to attack than the average enterprise data center.
Of greater concern is the integration of security policy and identity management between customers and public cloud providers. In addition, government regulation may forbid customers from allowing sensitive data off premises. Other concerns include the risk of outages and the long-term operational costs of public cloud services.
The bar to qualify as a multicloud adopter is low: A customer just needs to use more than one public cloud service. However, depending on the number and variety of cloud services involved, managing multiple clouds can become quite complex from both a cost optimization and technology perspective.
In some cases, customers subscribe to multiple cloud services simply to avoid dependence on a single provider. A more sophisticated approach is to select public clouds based on the unique services they offer and, in some cases, integrate them. For example, developers might want to use Google’s TensorFlow machine learning service on Google Cloud Platform to build AI-driven applications, but prefer Jenkins hosted on the CloudBees platform for continuous integration.
To control costs and reduce management overhead, some customers opt for cloud management platforms (CMPs) and/or cloud service brokers (CSBs ) , which let you manage multiple clouds as if they were one cloud. The problem is that these solutions tend to limit customers to such common-denominator services as storage and compute, ignoring the panoply of services that make each cloud unique.
You often see edge computing described as an alternative to cloud computing. But it is not. Edge computing is about moving compute to local devices in a highly distributed system, typically as a layer around a cloud computing core. There is typically a cloud involved to orchestrate all the devices and take in their data, then analyze it or otherwise act on it.
The cloud’s main appeal is to reduce the time to market of applications that need to scale dynamically. Increasingly, however, developers are drawn to the cloud by the abundance of advanced new services that can be incorporated into applications, from machine learning to internet of things (IoT) connectivity.
Although businesses sometimes migrate legacy applications to the cloud to reduce data center resource requirements, the real benefits accrue to new applications that take advantage of cloud services and “cloud native” attributes. The latter include microservices architecture , Linux containers to enhance application portability, and container management solutions such as Kubernetes that orchestrate container-based services. Cloud-native approaches and solutions can be part of either public or private clouds and help enable highly efficient devops -style workflows.
Cloud computing, public or private or hybrid or multicloud, has become the platform of choice for large applications, particularly customer-facing ones that need to change frequently or scale dynamically. More significantly, the major public clouds now lead the way in enterprise technology development, debuting new advances before they appear anywhere else. Workload by workload, enterprises are opting for the cloud, where an endless parade of exciting new technologies invite innovative use.
SaaS has its roots in the ASP (application service provider) trend of the early 2000s, when providers would run applications for business customers in the provider’s data center, with dedicated instances for each customer. The ASP model was a spectacular failure because it quickly became impossible for providers to maintain so many separate instances, particularly as customers demanded customizations and updates.
Salesforce is widely considered the first company to launch a highly successful SaaS application using multitenancy—a defining characteristic of the SaaS model. Rather than each customer getting its own application instance, customers who subscribe to the company’s salesforce automation software share a single, large, dynamically scaled instance of an application (like tenants sharing an apartment building), while storing their data in separate, secure repositories on the SaaS provider’s servers. Fixes can be rolled out behind the scenes with zero downtime and customers can receive UX or functionality improvements as they become available.
Deciding and iterating with java statements, retrieval-augmented generation refined and reinforced, ibm adds mistral large language model to watsonx.ai, 10 more big devops gotchas to watch out for.
Eric Knorr is a freelance writer, editor, and content strategist. Previously he was the Editor in Chief of Foundry’s enterprise websites: CIO, Computerworld, CSO, InfoWorld, and Network World. A technology journalist since the start of the PC era, he has developed content to serve the needs of IT professionals since the turn of the 21st century. He is the former Editor of PC World magazine, the creator of the best-selling The PC Bible, a founding editor of CNET, and the author of hundreds of articles to inform and support IT leaders and those who build, evaluate, and sustain technology for business. Eric has received Neal, ASBPE, and Computer Press Awards for journalistic excellence. He graduated from the University of Wisconsin, Madison with a BA in English.
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Mastering Cloud Computing. Rajkumar Buyya, Christian Vecchiola, Thamarai Selvi. Chapters. • • • • • • • • • • • • • • • •. Part I: Foundations Chapter 1 — Introduction Chapter 2 — Principles of Parallel and Distributed Computing Chapter 3 — Virtualization
Mastering Cloud Computing Rajkumar Buyya, Christian Vecchiola, Thamarai Selvi
Chapters • • • • • • • • • • • • • • • • Part I: Foundations Chapter 1 — Introduction Chapter 2 — Principles of Parallel and Distributed Computing Chapter 3 — Virtualization Chapter 4 — Cloud Computing Architecture Part II: Cloud Application Programming and the Aneka Platform Chapter 5 — Aneka: Cloud Application Platform Chapter 6 — Concurrent Computing: Thread Programming Chapter 7 — High-Throughput Computing: Task Programming Chapter 8 — Data Intensive Computing: Map-Reduce Programming Part III: Industrial Platforms and New Developments Chapter 9 — Cloud Platforms in Industry Chapter 10 — Cloud Applications Chapter 11 — Advanced Topics in Cloud Computing
Chapter 1 - Introduction
I have a lot of infrastructure that I want to rent … I need to grow my infrastructure, but I do not know for how long… I have a surplus of infrastructure that I want to make use of I cannot invest in infrastructure, I just started my business…. I have infrastructure and middleware and I can host applications I want to focus on application logic and not maintenance and scalability issues I have infrastructure and provide application services I want to access and edit my documents and photos from everywhere..
Subscription-Oriented Cloud Services: X{compute, apps, data, ..} as a Service (..aaS) Manjrasoft Public Clouds Applications Development and Runtime Platform Compute Cloud Manager Storage Private Cloud Clients Other Govt. Cloud Services Cloud Services 10
Public Clouds Applications Development and Runtime Platform Compute Storage All users, on any device Cloud Manager Private Resources Private Cloud Private Cloud (Government) Organization Personnel Government Agencies
Cloud Deployment Models Private/Enterprise Clouds Hybrid/Inter Clouds Public/Internet Clouds * 3rd party, multi-tenant Cloud infrastructure & services: * Mixed usage of private and public Clouds: Leasing public cloud services when private cloud capacity is insufficient * A public Cloud model within a company’s own Data Center / infrastructure for internal and/or partners use. * available on subscription basis to all.
No capital investments Quality of Service Pay as you go Billing IT outsourcing Security Cloud Computing?
Software as a Service Web 2.0 Interfaces End user applications Scientific applications Office automation, Photo editing, CRM, and Social Networking Examples: Google Documents, Facebook, Flickr, Salesforce Platform as a Service Runtime Environment for Applications Development and Data Processing Platforms Examples: Windows Azure, Hadoop, Google AppEngine, Aneka Infrastructure as a Service Virtualized Servers Storage and Networking Examples: Amazon EC2, S3, Rightscale, vCloud
2010: Microsoft Azure 1970: DARPA’s TCP/IP 1999: Grid Computing 1984: IEEE 802.3 Ethernet & LAN 1997: IEEE 802.11 (Wi-Fi) 2008: Google AppEngine 1966: Flynn’s Taxonomy SISD, SIMD, MISD, MIMD 1989: TCP/IP IETF RFC 1122 2007: Manjrasoft Aneka 1969: ARPANET 2005: Amazon AWS (EC2, S3) 1984: DEC’s VMScluster 1951: UNIVAC I, First Mainframe 1975: Xerox PARC Invented Ethernet 2004: Web 2.0 Clouds 1990: Lee-Calliau WWW, HTTP, HTML 1960: Cray’s First Supercomputer Grids Clusters Mainframes 1950 1960 1970 1980 1990 2000 2010
Chapter 2 – Parallel and Distributed Computing
ParallelApplications Parallel Programming Environments Sequential Applications Compilers, PVM, MPI, …. Cluster Middleware: Single System Image and Availability Infrastructure PC / Workstation PC / Workstation PC / Workstation PC / Workstation Common SW & Applications Common SW & Applications Common SW & Applications Common SW & Applications Operating System Operating System Operating System Operating System Network Interface HW Network Interface HW Network Interface HW Network Interface HW High speed network connection
Applications User interface for presentation Distributed System Stack Middleware Support for heterogeneous resource sharing, communication, and programming environments for application development Operative System Execution platform including network connectivity services Hardware Computer and network hardware
MPI Programming, JMS, MSMQ, MQS Message Based Communication Paradigms / Architectural Models
Architectures Sequential Era Compilers Applications Problem Solving Environments Architectures Compilers Parallel Era Applications Problem Solving Environments 2030 2020 1990 2000 2010 1970 1980 1960 1940 1950
Instruction Stream Data Input Data Output Processor
Single Instruction Stream Data Input 1 Data Output 1 Processor 1 Data Output 2 Data Input 2 Processor 2 Data Output N Data Input N Processor N
Instruction Stream 1 Instruction Stream N Instruction Stream 2 Single Data Output Stream Single Data Input Stream Processor 1 Processor 2 Processor N
Instruction Stream 1 Instruction Stream N Instruction Stream 2 Data Output 1 Data Input 1 Processor 1 Data Input 2 Data Output 2 Processor 2 Data Output 3 Data Input N Processor N
Cache L1 Cache L1 Core 2 IPC Channel IPC Channel Processor 1 Processor 2 Processor N Processor 2 Processor 1 Processor 2 Memory Bus Memory Bus Memory Bus Memory Bus Local Local Local Global System Memory Memory Memory Memory
Messages IPC Messages IPC Large Level (Processes, Tasks) Task 1 Task 2 Task N Shared Memory Shared Memory function fJ() {…} function f2() {…} function f1() {…} Medium Level (Threads, Functions) Function 1 Function 2 Function J Fine Level (Processor, Instructions) a[1] = … b[1] = … a[k] = … b[k] = … a[0] = … b[0] = … Statements Statements Statements Very Fine Level (Cores, Pipeline, Instructions) x + load
Applications Frameworks for distributed programming Middleware IPC primitives for control and data. Operating System Networking and Parallel Hardware Hardware
Social Networks, Scientific Computing, Enterprise Applications Applications (SaaS) Frameworks for Cloud Application Development Middleware (PaaS) Virtual hardware, networking, OS images, and storage. Hardware and OS (IaaS)
Client-server request Two Tier (Classic Model) client server response Three Tier client server Server/client N Tier server client Server/client Server/client server
P2P peer peer peer peer peer peer peer
RPC Node B Node A Procedure Registry Main Procedure Procedure C:Node B Procedure A Procedure C RPC Service RPC Library Procedure B Program C (RPC Server) Program A (RPC Client) Return Value Marshaling Parameters Marshaling and Procedure Name Return Value Unmarshaling Parameters Unmarshaling and Procedure Name Network
DOF interaction Node B Node A Application B 21 10 16 Instance Remote Instance 15 5: Object Activation 1: Ask for Reference Object Skeleton Object Proxy 11 17 6 20 4 9 14 Remote Reference Module Remote Reference Module Application A 8 7 12 13 3 19 2 18 Network
Web Service WSDL(s) Web Server UDDI Registry WS Client WSDL Web Server Application Web Service WSDL WS Client Application Application
WS technology Stack WSFL Web Service Flow Static UDDI Service Discovery Quality of Service Direct UDDI Service Publication Management Service Description Security WSDL XML-based Messaging SOAP Network HTTP, FTP,e-mail, MQ, IIOP, ….
SOAP Messages POST /InStock HTTP/1.1 Host: www.stocks.com Content-Type: application/soap+xml; charset=utf-8 Content-Length: <Size> <?xml version=“1.0”> Envelope <soap:Envelope xmlns:soap=“http//www.w3.org/2001/12/soap-envelope” soap:encondingStyle=“http//www.w3.org/2001/12/soap-encoding”> Header: Metadata & Assertions <soap:Header></soap:Header> <soap:Body xmlns:m=http://www.stocks.org/stock> <m:GetStockPrice> <m:StockName>IBM<m:StockName> </m:GetStockPrice> </soap:Body> Body: Method Call </soap:Envelope>
SOAP Messages POST /InStock HTTP/1.1 Host: www.stocks.com Content-Type: application/soap+xml; charset=utf-8 Content-Length: <Size> <?xml version=“1.0”> Envelope <soap:Envelope xmlns:soap=“http//www.w3.org/2001/12/soap-envelope” soap:encondingStyle=“http//www.w3.org/2001/12/soap-encoding”> Header: Metadata & Assertions <soap:Header></soap:Header> <soap:Body xmlns:m=http://www.stocks.org/stock> <m:GetStockPriceResponse> <m:Price>34.5<m:Price> </m:GetStockPriceResponse> </soap:Body> Body: Execution Result </soap:Envelope>
Chapter 3 – Virtualisation
Virtual Image Applications Applications Guest Virtual Hardware Virtual Storage Virtual Networking Virtualization Layer Software Emulation Host Physical Storage Physical Hardware Physical Networking
Applications Application - level Virtualization Programming Languages Execution Stack Programming Language level Virtualization Operative Systems OS- level Virtualization Hardware Hardware - level Virtualization
Virtual Resources Sharing Isolation Aggregation Emulation Virtualization Physical Resources
How it is done? Technique Virtualization Model Emulation Application Execution Environment Programming Language High-Level VM Process Level Storage Operating System Multiprogramming Virtualization Network Hardware-assisted Virtualization Full Virtualization Hardware System Level Paravirtualization …. Partial Virtualization
Applications Applications API calls API Libraries Libraries User ISA ABI System calls User ISA Operative System Operative System ISA ISA Hardware Hardware
Least privileged mode (user mode) Ring 3 Privileged modes Ring 2 Ring 1 Ring 0 Most privileged mode (supervisor mode)
Guest In memory representation Virtual Image Storage VMM Host emulation Virtual Machine binary translation instruction mapping interpretation …… Host
VM VM VM VM ISA Virtual Machine Manager VM VM VM VM ISA ABI Virtual Machine Manager Operative System ISA ISA Hardware Hardware
Virtual Machine Instance ISA Instructions (ISA) Interpreter Routines Routines Interpreter Dispatcher Allocator Virtual Machine Manager
Privileged Instructions Sensitive Instructions User Instructions
VM VM VM VM VM VM Virtual Machine Manager Server A (running) Server B (running) Before Migration VM VM VM VM VM VM Virtual Machine Manager Server A (running) Server B (inactive) After Migration
User Applications (unmodified ABI) Management Domain (Domain 0) • VM Management • HTTP interface • Access to the Xen Hypervisor Ring 3 User Domains (Domain U) • Guest OS • Modified codebase • Hypercallsinto Xen VMM Ring 2 Ring 1 Ring 0 Privileged instructions Xen Hypervisor (VMM) • Memory management • CPU state registers • Devices I/O Hardware trap Hardware (x86)
User Applications (unmodified ABI) Ring 3 Ring 2 Ring 1 Guest Operating System • Unmodified codebase • VMM unaware Ring 0 Hypervisor • Binary translation • Instruction caching Hardware trap (sensitive instructions) Dynamic / cached translation (sensitive instructions) Hardware (x86)
User Applications I/O Guest Operating System User Applications VMware Workstation Virtual Machine Instance Host Operating System VMware Hypervisor (VMM) • Direct access to hardware •I/O, memory, networking for guests • Save/Restore CPU state for host OS VMware Driver Hardware (x86)
serverd (daemon) VMware VMware Web Server VMware VM Instance VM Instance VM Instance Host Operating System VMware Hypervisor (VMM) • Direct access to hardware •I/O, memory, networking for guests • Save/Restore CPU state for host OS VMware Driver Hardware (x86)
SNMP vxpa CIM broker VM VM VM syslog hostd DCUI VMX VMX VMX Third-party CIM plug-ins VMM VMM VMM User world API Virtual Ethernet adapter and switch Distributed VM file system Network stack Storage stack Resource scheduling Device drivers VMkernel Hardware
Application Virtualization Zimbra Platform Virtualization vFabric vCloud vCenter vCenter Infrastructure Virtualization vSphere vSphere vSphere vSphere ESXi ESXi ESXi ESXi ESX ESX ESX ESX Server Server Server Server Data Center Data Center Cloud
VMWPs User Applications (Ring 3) User Applications (Ring 3) User Applications (Ring 3) WMI VMMS Hypervisor-aware Kernel (Ring 0) Hypervisor-aware Wndows Kernel (Ring 0) Hypervisor-aware Linux Kernel (Ring 0) Hypervisor-unaware Kernel (Ring 0) VSPs VID VSCs / ICs VSCs / ICs WinHv WinHv LinuxHv I/O Stack Drivers I/O Stack Drivers I/O Stack Drivers Latest Pictures. VMBus VMBus VMBus Unenlightened Child Partition Root / Parent Partition Enlightened Child Partition Enlightened Child Partition Hypervisor (Ring -1) Address Management Partition Management Hypercalls MSRs APIC Scheduler Processor Memory Hardware (x86)
Cloud Computing. Disruptive Innovation & Enabling Technology. Authors: John Keagy (CEO & Co-Founder of GoGrid/ServePath) Michael Sheehan (Technology Evangelist of GoGrid/ServePath) Paul Lancaster (Business Development Manager for GoGrid/ServePath) August 2008.
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Cloud Computing. Larry Gottschalk Computer Science Faculty Metropolitan State University. Definition. The movement of computing from the desktop and corporate servers to computing services (on a myriad of hosts/servers).
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Cloud Computing. Bala Rajaraman, IBM Distinguished Engineer. On today ’ s Smarter Planet, organizations are taking new approaches to optimizing dynamic business services, processes & relationships . * Source: IBM CEO Study. Uncover new Profit opportunity. Build operating dexterity.
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Cloud Computing. Presentation by Michael Calvo Paper by M. Armbrust, A. Fox, R.Griffith, A.D. Joseph, et. al. Table of Contents. Cloud Computing: A Primer Cloud Advantages Scalability Applications for Clouds Cloud Models Utility Computing Models Reasons for Moving to the Cloud
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Cloud Computing. Group No.6. Group Members. Mohsin Ali Ali Raza Khan Usman Aziz Kashif Nazir. What is cloud computing?. Cloud computing is Internet "cloud” based development and use of computer technology "computing" .
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Cloud Computing. Chapter 16 Evaluating the Cloud’s Business Impact and Economics. Learning Objectives. Discuss the total cost of ownership for an IT solution. Compare and contrast the capital expenses and operational expenses of an IT solution.
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Cloud Computing. By Heather, Cindy, Lisa and Allison. What is Cloud Computing?. The “cloud” refers to surplus computing resources that are available from specialized data centers that power the world’s largest websites and web services. - The Horizon Report 2010.
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Cloud Computing. Ali Ghodsi UC Berkeley, AMPLab [email protected]. Background of Cloud Computing. 1990: Heyday or parallel computing, multi-processors Cannot make computers faster, they’ll overheat, cannot make transistors smaller, etc. Multiprocessors the only way to go
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CrowdStrike’s cybersecurity software is used by scores of industries, including airlines, hospitals and retailers, to prevent hacks and data breaches.
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CrowdStrike, which went public in 2019, is worth about $76 billion. Its stock fell dramatically on Friday after news of the outage, and remained down about eight percent that morning.
“This is an unprecedented event and not something we or anyone had in their cards,” analysts for Evercore, an investment banking firm, wrote in a note to investors. “This event clearly proves that cyber needs to be diversified and the idea of relying on one or two vendors will come under scrutiny.”
Kate Conger is a technology reporter based in San Francisco. She can be reached at [email protected]. More about Kate Conger
Claire Moses is a Times reporter in London, focused on coverage of breaking and trending news. More about Claire Moses
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Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. Cloud computing relies on sharing of resources to achieve coherence and typically uses a pay-as-you-go model, which can help in reducing capital expenses but may ...
Cloud computing is the on-demand access of computing resources—physical servers or virtual servers, data storage, networking capabilities, application development tools, software, AI-powered analytic tools and more—over the internet with pay-per-use pricing. The cloud computing model offers customers greater flexibility and scalability ...
What is cloud computing, in simple terms? Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over ...
Cloud computing is the on-demand availability of computing resources over the internet. Learn about the types of cloud computing service models, deployment models, benefits, and use cases from Google Cloud.
Explore the transformative realm of cloud computing in this comprehensive presentation. From understanding cloud computing service providers to delving into specialized solutions, discover how Amazon Web Services, Microsoft Azure, and Google Cloud Platform lead the industry. Impressico Business Solutions exemplifies tailored guidance for businesses, ensuring seamless integration and ...
With cloud computing, organizations essentially buy a range of services offered by cloud service providers (CSPs). The CSP's servers host all the client's applications. Organizations can enhance their computing power more quickly and cheaply via the cloud than by purchasing, installing, and maintaining their own servers.
Cloud security refers to the processes, mechanisms and services used to control the security, compliance and other usage risks of cloud computing. Security, including governance, compliance and privacy, should be addressed from the outset in cloud strategy. Attitudes toward security have changed significantly.
This slide represents the difference between edge computing, fog computing, and cloud computing based on the location of data processing, processing power, and storage capacity and purpose. Presenting concurrent computing with fog computing and cloud computing ppt slides skills pdf to provide visual cues and insights.
Cloud computing can be a very interesting proposition for both companies and individuals, as it allows the use of a network of servers remotely connected to the Internet to process and manage data. However, understanding 100% of how this system works can be complicated, but that's okay! That's what you are here for with the introduction to ...
Template 10: Cloud Computing Security. This PPT Template is your passport to a high-level overview of cloud computing security, including components that safeguard infrastructure and data. The encryption techniques are explained as well, giving the user enough confidence that the data is safe, both in terms of confidentiality and integrity.
The cloud computing PPT templates cover various topics, from AWS e-commerce models to roadmaps, cloud migration plans, diagrams, models, etc. Presenters can use these high-visual impact templates to deliver talks to their teams or stakeholders and repurpose them as often as required. Our templates are fully compatible with any PowerPoint ...
Cloud Computing. Cloud Computing. Presentation by Michael Calvo Paper by M. Armbrust, A. Fox, R.Griffith, A.D. Joseph, et. al. Table of Contents. Cloud Computing: A Primer Cloud Advantages Scalability Applications for Clouds Cloud Models Utility Computing Models Reasons for Moving to the Cloud. 547 views • 18 slides
Cloud Computing is a network of remote servers hosted on the internet for storing and retrieving data. The cloud provides a number of IT services such as servers, databases, software, virtual storage, and networking, among others. Companies that offer all the services are called cloud providers. They provide you with the ability to store and ...
Free Google Slides theme, PowerPoint template, and Canva presentation template. Cloud computing is rapidly becoming the norm for businesses of all sizes. It provides a secure, cost-effective, and efficient way to store data, process complex tasks, and access computing resources. It's like having access to virtually unlimited amounts of data ...
Cloud computing definitions for each type. Way back in 2011, NIST posted a PDF that divided cloud computing into three "service models"—SaaS, IaaS, and PaaS (platform as a service)—the ...
Cloud Computing. Cloud Computing. Presentation by Michael Calvo Paper by M. Armbrust, A. Fox, R.Griffith, A.D. Joseph, et. al. Table of Contents. Cloud Computing: A Primer Cloud Advantages Scalability Applications for Clouds Cloud Models Utility Computing Models Reasons for Moving to the Cloud. 545 views • 18 slides
Cloud computing is a way to access information and applications online instead of having to build, manage, and maintain them on your own hard drive or servers. It's fast, efficient, and secure. It's also a little bit mysterious. Although most of us have been using the cloud for years, the question still echoes inside of many organizations ...
CrowdStrike, which was founded in 2011, is a cloud-based cybersecurity platform whose software is used by scores of industries around the world to protect against hackers and outside breaches.
Crowdstrike says Falcon is designed to protect files saved in the cloud. CrowdStrike's cybersecurity software — used by numerous Fortune 500 companies, including major global banks, healthcare ...