“This chapter provide an overview of introductory cloud computing topics. It begins with a brief history of cloud computing along with short descriptions of its business and technology drivers. This is followed by definitions of basic concepts and terminology, in addition to explanations of the primary benefits and challenges of cloud computing adoption.”
“The upcoming sections cover introductory topic areas pertaining to the fundamental models used to categorize and define clouds and their most common service offerings, along with definitions of organizational roles and the specific set of characteristics that collectively distinguish a cloud.”
Cloud infrastructure mechanisms are foundational building blocks of cloud environments that establish primary artifacts to form the basis of fundamental cloud technology architecture.
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
“The upcoming sections cover introductory topic areas pertaining to the fundamental models used to categorize and define clouds and their most common service offerings, along with definitions of organizational roles and the specific set of characteristics that collectively distinguish a cloud.”
Cloud infrastructure mechanisms are foundational building blocks of cloud environments that establish primary artifacts to form the basis of fundamental cloud technology architecture.
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
Cloud computing began to get both awareness and popularity in the early 2000s.
When the concept of cloud computing originally came to prominence most people did
not fully understand what role it fullled or how it helped an organization. In some
cases people still do not fully understand the concept of cloud computing. Cloud
computing can refer to business intelligence (BI), complex event processing (CEP),
service-oriented architecture (SOA), Software as a Service (SaaS), Web-oriented architecture
(WOA), and even Enterprise 2.0. With the advent and growing acceptance
of cloud-based applications like Gmail, Google Calendar, Flickr, Google Docs, and
Delicious, more and more individuals are now open to using a cloud computing environment
than ever before. As this need has continued to grow so has the support
and surrounding infrastructure needed to support it. To meet those needs companies
like Google, Microsoft, and Amazon have started growing server farms in order to
provide companies with the ability to store, process, and retrieve data while generating
income for themselves. To meet this need Google has brought on-line more
than a million servers in over 30 data centers across its global network. Microsoft
is also investing billions to grow its own cloud infrastructure. Microsoft is currently
adding an estimated 20,000 servers a month. With this amount of process, storage
and computing power coming online, the concept of cloud computing is more of a
reality than ever before. The growth of cloud computing had the net eect of businesses
migrating to a new way of managing their data infrastructure. This growth of
cloud computing capabilities has been described as driving massive centralization at
its deep center to take advantage of economies of scale in computing power, energy
consumption, cooling, and administration.
These All Cloud Computing Architectures have been Discussed in this Lecture
Hypervisor Clustering Architecture
Load Balanced Virtual Server Instances Architecture
Non-Disruptive Service Relocation Architecture
Zero Downtime Architecture
Cloud Balancing Architecture
Resource Reservation Architecture
Dynamic Failure Detection and Recovery Architecture
Bare-Metal Provisioning Architecture
Rapid Provisioning Architecture
Storage Workload Management Architecture
Cloud-based IT resources need to be set up, configured, maintained, and monitored. The systems covered in this chapter are mechanisms that encompass and enable these types of management tasks.
This chapter introduces and describes several of the more common foundational cloud architectural models, each exemplifying a common usage and characteristic of contemporary cloud-based environments. The involvement and importance of different combinations of cloud computing mechanisms in relation to these architectures are explored.
This presentation will help you all a lot.
because this is not from a particular text book or a reference guide it is a collection of several web sites.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
Cloud computing began to get both awareness and popularity in the early 2000s.
When the concept of cloud computing originally came to prominence most people did
not fully understand what role it fullled or how it helped an organization. In some
cases people still do not fully understand the concept of cloud computing. Cloud
computing can refer to business intelligence (BI), complex event processing (CEP),
service-oriented architecture (SOA), Software as a Service (SaaS), Web-oriented architecture
(WOA), and even Enterprise 2.0. With the advent and growing acceptance
of cloud-based applications like Gmail, Google Calendar, Flickr, Google Docs, and
Delicious, more and more individuals are now open to using a cloud computing environment
than ever before. As this need has continued to grow so has the support
and surrounding infrastructure needed to support it. To meet those needs companies
like Google, Microsoft, and Amazon have started growing server farms in order to
provide companies with the ability to store, process, and retrieve data while generating
income for themselves. To meet this need Google has brought on-line more
than a million servers in over 30 data centers across its global network. Microsoft
is also investing billions to grow its own cloud infrastructure. Microsoft is currently
adding an estimated 20,000 servers a month. With this amount of process, storage
and computing power coming online, the concept of cloud computing is more of a
reality than ever before. The growth of cloud computing had the net eect of businesses
migrating to a new way of managing their data infrastructure. This growth of
cloud computing capabilities has been described as driving massive centralization at
its deep center to take advantage of economies of scale in computing power, energy
consumption, cooling, and administration.
These All Cloud Computing Architectures have been Discussed in this Lecture
Hypervisor Clustering Architecture
Load Balanced Virtual Server Instances Architecture
Non-Disruptive Service Relocation Architecture
Zero Downtime Architecture
Cloud Balancing Architecture
Resource Reservation Architecture
Dynamic Failure Detection and Recovery Architecture
Bare-Metal Provisioning Architecture
Rapid Provisioning Architecture
Storage Workload Management Architecture
Cloud-based IT resources need to be set up, configured, maintained, and monitored. The systems covered in this chapter are mechanisms that encompass and enable these types of management tasks.
This chapter introduces and describes several of the more common foundational cloud architectural models, each exemplifying a common usage and characteristic of contemporary cloud-based environments. The involvement and importance of different combinations of cloud computing mechanisms in relation to these architectures are explored.
This presentation will help you all a lot.
because this is not from a particular text book or a reference guide it is a collection of several web sites.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
Its about the small basic of Wi -Fi .How the wifi acess its access point and what is wifi , component of wifi, security and its application........etc
pls sahre ur experience with me n give feedback
PSMJ Newsletter October 2015-The place where A/E/C firm leaders get proven ad...Frank A. Stasiowski, FAIA
Where can you find the most innovative results-driven strategies and tactics for A/E/C firm leaders? It is all right here...in every issue of Professional Services Management Journal. PSMJ is one of the fastest-growing and most action-oriented sources of proven advice...for less than you probably spend on coffee each week!
We've been hard at work making PSMJ more relevant, timely, and action-oriented than ever before! In fact, no other industry publication has the power to transform your firm's growth and your career like PSMJ.
Sample a complimentary edition here and then subscribe at http://store.psmj.com/publications/newsletters/professional-services-management-journal/
Got a resolution to improve your finances this year? John-Paul Valdez, a finance professional on Pearl.com, shared many tips for boosting your financial fitness in this webinar (view slides here).
Μία Παρουσίαση γιά το τι είναι Beacons και πως η χρήση των συσκευών Bluetooth Low Energy προσθέτει Ψηφιακή Προέκταση στον Πραγματικό Κόσμο, επειδή δεν είναι απλά μιά καινούργια τεχνολογία σε μια εξειδικευμένη συσκευή αλλά ένας νέος τρόπος αντίληψης του φυσικού περιβάλλοντος μας.
switch~ is an energy entertainment event using 5min pecha-kucha talk format to inspire or humor a sustainability geek audience. This talk was given at eTown Hall fall of 2014 by Chuck Ray addressing the struggle between regulated monopoly electric delivery and market side entrepreneurs. switch-energy.org
“Tay làm hàm nhai” dường như đang trở thành thói quen của nhiều nhân viên công sở để nhằm giải tỏa áp lực công việc. Tuy nhiên, việc ăn, uống cũng vô tình trở thành thủ phạm gây hại đến răng miệng.
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Cloud computing Definition, Types of cloud, Cloud services: Benefits and challenges of cloud computing, Evolution of Cloud Computing, Applications cloud computing, Business models around Cloud, Major Players in Cloud Computing, Issues in Cloud - Eucalyptus - Nimbus - Open Nebula, CloudSim.
Abstract--The paper identifies the issues and the solution to overcome these problems. Cloud computing is a subscription based service where we can obtain networked storage space and computer resources. This technology has the capacity to admittance a common collection of resources on request. It is the application provided in the form of service over the internet and system hardware in the data centers that gives these services. But having many advantages for IT organizations cloud has some issues that must be consider during its deployment. The main concern is security privacy and trust. There are various issues that need to be dealt with respect to security and privacy in a cloud computing scenario [4].
Keywords--Cloud, Issues, Security, Privacy, Resources, Technology.
The Slide Explains the concepts of Cloud Computing. Covers various definitions of Cloud Computing. Its Models, Types, Advantages, Challenges. A must to understand what is Cloud Computing.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
JMeter webinar - integration with InfluxDB and Grafana
Understanding Cloud Computing
1. Mohammed Sajjad Ali
PMP, CCNP, E-commerce
Understanding
Cloud Computing
Place photo here
1
Sartaj Fatima
Lecturer,
2. Contents :
• Introduction
• History
• Architecture
• Key features
• Service models
• Deployment models
• How to work the cloud computing
• Growth of cloud computing
• Advantages and disadvantages
• Conclusion
Understanding Cloud Computing
“This chapters provide an overview of introductory cloud computing topics. It begins with a
brief history of cloud computing along with short descriptions of its business and technology
drivers. This is followed by definitions of basic concepts and terminology, in addition to
explanations of the primary benefits and challenges of cloud computing adoption.”
2
3. Understanding Cloud Computing
Introduction
Cloud computing is a model for enabling convenient on demand network
access to share a pool of configurable computing resources.
That can be rapidly provisioned and released with minimal management effort
or service provider interaction.
The essential features are service models and deployment models
4. Understanding Cloud Computing
What is cloud computing ?
Use of a network of remote servers which are hosted on the internet in order to
store, manage & process data rather than using a local server or personal
computer.
7. Understanding Cloud Computing
History
The concept was born in the 1960s from the ideas of pioneers like J.C.R
Licklider
The John mcCaurthy form a global net work computation and framing
computation as a public utility
Flash forward to 1997,when the term “Cloud Computing” was used by first
information systems professor Ramnath chellappa Within a just a few years,
companies began switching from hardware to cloud services
8. Understanding Cloud Computing
Why Cloud- As basic Business Scenarios
• Fast Application Deployment.
• Hassle Free Maintenance.
• Better Resources Utilization.
• Platform Independent, Security, Scalability
11. Understanding Cloud Computing
Key Characteristics
•Data stored on the cloud.
•Software and services on the cloud-Access via web browsers.
•Broad network access.
•Accessible from any devices.
•Low cost software.
•Advances security technologies.
13. Understanding Cloud Computing
Models of Cloud
The most recent achievements are the following models:
• Cloud Software as a Service (SaaS)
use providers application over a network
• Cloud Platform as a Service (PaaS)
Deploy customer created application to cloud
• Cloud Infrastructure as Service (IaaS)
Rent processing, storage network capacity,
and other fundamental computing resources.
• Cloud Hardware as a Service (HaaS)
Reduce cost, less failure and crashes
14. Understanding Cloud Computing
Latest Examples
Software as a Service:
Salesforce.com
Gmail
Facebook
Platform as a Service:
3Tera
Google application engine
Caghead
Infrastructure as a Service:
Amazone AWS
Joyent
Mosso
Nirvanix
17. Understanding Cloud Computing
Deployment models
The cloud deployment models define the purpose of the cloud
and nature of how the cloud is located there are four basic
models
1. Private model
2. Public model
3. Community model
4. Hybrid model
18. Understanding Cloud Computing
1. Private cloud
Private cloud or internal cloud are neologisms that some vendors
have recently used to describe offerings that emulate cloud
computing on private networks. These (typically virtualization
automation) products claim to "deliver some benefits of cloud
computing without the pitfalls",.
19. Understanding Cloud Computing
2. Public cloud
Public cloud or external cloud describes cloud computing in the
traditional mainstream sense, whereby resources are dynamically
provisioned on a fine-grained, self-service basis over the Internet, via
web applications/web services, from an off-site third-party provider
who shares resources and bills on a fine-grained utility computing
basis.
A public cloud sells services to anyone on the Internet. (Currently,
Amazon Web services is the largest public cloud provider.)
20. Understanding Cloud Computing
3. Community model
The cloud infrastructure shared by several organization and supports
a specific community that shared concerns.
example : mission , security requirements , policy , and compliance
consideration
21. Understanding Cloud Computing
4. Hybrid cloud
A hybrid cloud environment consisting of multiple internal and/or
external providers "will be typical for most enterprises". By integrating
multiple cloud services users may be able to ease the transition to
public cloud services while avoiding issues such as PCI compliance.
Hybrid cloud basically combines both public and private cloud
models together.
24. Understanding Cloud Computing
Advantages
Fast application deployment.
Hassel free maintenance.
Better resource utilization.
Platform independent, security, scalability.
Backup and recovery.
Easy access to information.
Almost unlimited storage
25. Understanding Cloud Computing
Disadvantages
Must have stable internet.
Slower than local software.
Concern about reliable and security.
Phone to attack.
Inflexibility
26. Understanding Cloud Computing
Why Cloud Computing ?
Business Drivers.
I. Capacity Planning
II. Organizational Agility
III. Cost Reduction
Technology Innovations.
I. Clustering
II. Grid Computing
III. Virtualization
27. Understanding Cloud Computing
Virtualization Principles
Server virtualization separates
software from hardware.
The low-layer virtualization software
abstracts a virtual hardware interface
by means of space segmentation,
timed division, and emulation to provide
the upper-layer OSs with an expected
hardware environment.
28. Understanding Cloud Computing
Virtualization Implementation
VMM virtualizes three types of physical resources: CPU, memory,
and I/O device. CPU virtualization is the most important.
We will go through:
.
CPU virtualization.
Memory virtualization.
I/O device virtualization.
29. Understanding Cloud Computing
Technology Innovations vs. Enabling Technologies
These are distinguished as cloud-enabling technologies:
Broadband Networks and Internet Architecture.
Data Center Technology.
(Modern) Virtualization Technology.
Web Technology.
Multitenant Technology.
Service Technology.
31. Understanding Cloud Computing
Cloud
A Cloud refers to a distinct IT environment that is designed for the
purpose of remotely provisioning scalable and measured IT
resources.
Figure 1.1 The symbol used to denote the
boundary of a cloud environment.
32. Understanding Cloud Computing
IT Resource
An IT resource is a physical or virtual IT-related artifact that can be either
software based, such as a virtual server or a custom software program, or
hardware-based, such as a physical server or a network device
( figure 1.2 )
Figure 1.2 Examples of common IT resources and their corresponding symbols
33. Understanding Cloud Computing
Figure 1.3 A cloud is hosting eight IT resources three virtual servers, two cloud
services, and three storage devices.
34. Understanding Cloud Computing
Scaling
Scaling from an IT resource perspective, represents the ability of
the IT resource to handle increased or decreased usage
demands.
The following are types of scaling:
Horizontal Scaling - scaling out and scaling in
Vertical Scaling - scaling up and scaling down
36. Understanding Cloud Computing
Cloud Service
A cloud service is any IT resource that is made remotely
accessible via cloud.
Unlike other IT fields that fall under the service technology
umbrella - such as service - oriented architecture - the term
"service" within the context of cloud computing is especially
broad.
37. Hope this is been informative and I would like to thank you for viewing.