This paper describes that Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications. Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. Clouds can be classified based on service models as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). It can also be classified based on types as public, private or hybrid cloud.
Imagine yourself in the world where the users of the computer of today’s internet world don’t have to run, install or store their application or data on their own computers, imagine the world where every piece of your information or data would reside on the Cloud (Internet).
This paper describes that Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications. Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. Clouds can be classified based on service models as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). It can also be classified based on types as public, private or hybrid cloud.
Imagine yourself in the world where the users of the computer of today’s internet world don’t have to run, install or store their application or data on their own computers, imagine the world where every piece of your information or data would reside on the Cloud (Internet).
Cloud computing - new class of network based computingAshita Agrawal
Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
-basically a step on from Utility Computing
-a collection/group of integrated and networked hardware, software and Internet infrastructure (called a platform).
The hardware and software services are available to
general public, enterprises, corporations and businesses markets.
TYPES OF CLOUD:
There are different types of clouds that you can subscribe to depending on your needs. As a home user or small business owner, you will most likely use public cloud services.
1.public
2.hybrid
3.community
4.private
PURPOSE AND BENEFITS
-Cloud computing enables companies and applications, which are system infrastructure dependent, to be infrastructure-less.
-By using the Cloud infrastructure on “pay as used and on demand”, all of us can save in capital and operational investment!
-Clients can:
Put their data on the platform instead of on their own desktop PCs and/or on their own servers.
They can put their applications on the cloud and use the servers within the cloud to do processing and data manipulations etc.
Features of Cloud Computing
• Cost
• Agility
• Security
• Reliability
• Scalability
• Availability
• Performance
• Device and Location Independence
Cloud Computing Service Providers
• Amazon
• App Nexus
• Google AppEngine
• Go Grid
• Microsoft Windows Azure
• Rack Space
Conclusion
The cloud provides many options for the everyday computer user as well as large and small businesses. It opens up the world of computing to a broader range of uses and increases the ease of use by giving access through any internet connection.
However, with this increased ease also come drawbacks. You have less control over who has access to your information and little to no knowledge of where it is stored.
You also must be aware of the security risks of having data stored on the cloud. The cloud is a big target for malicious individuals and may have disadvantages because it can be accessed through an unsecured internet connection.
Introduction
m Definiton of Cloud Computing
p Characteristics of Cloud Computing
p Benefits of Cloud Computing
m Cloud Infrastructure
m Service Delivery Models (IAAS, PAAS and SAAS)
m Cloud Deployment Models/ Types of Cloud
m Pros and Cons of Cloud Computing
The enterprise landscape is rapidly changing. Data is ubiquitous. Information is flowing into an organization’s applications from more sources than ever before. Business expec-tations are also changing. Corporations today demand speed and flexibility from their applications. Enterprise want services that allow them to make better business decisions, create more satisfied customers, and react ever more quickly to evolving market condi-tions. Current economic circumstances and increased competition are also driving the demand for a more effective model to deliver applications and services.
This relentless push for a faster, better and more cost-effective technology delivery model has set the stage for new approaches to application development, deployment and management. Several technologies such as grid computing, virtualization, and service-oriented architecture (SOA) have offered partial solutions for enterprises that require applications with greater scalability, agility and easier management capabilities. However, these alone have not been enough.
Enter cloud computing, an innovative model for delivering IT infrastructure, applications and data that shifts the emphasis from static, stand-alone application silos to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network.
Today, many forward-thinking enterprises are using cloud environments to take advan-tage of the increased scalability, agility, automation, and efficiency that this technology can deliver. Yet, because cloud computing has evolved so quickly, there are still many questions surrounding it. To understand the promise of cloud computing, decision makers and IT professionals must examine its development and benefits from an enterprise perspective.
Beginning with the origins of cloud computing, this paper will help define exactly what cloud computing is and how the enterprise can benefit from it. In doing so, the paper outlines a number of “cloud characteristics” which together illustrate the true potential of cloud computing and provide a framework for assessing current and future cloud offerings. Finally, the paper draws a distinction between infrastructure-oriented clouds and platform-oriented clouds and explains how cloud platforms allow end-user applica-tions to unlock the true promise of cloud computing.
El futuro de marketing an america latina (16 9)Esteban Kolsky
Presentacion para el Summit de SAP en Bogota el 29 de Julio de 2015.
Describe tres tendencias y seis iniciativas a usar para crear e implementar una estrategia exceptional de marketing para el 2015 y mas.
Cloud computing - new class of network based computingAshita Agrawal
Cloud Computing is a general term used to describe a new class of network based computing that takes place over the Internet,
-basically a step on from Utility Computing
-a collection/group of integrated and networked hardware, software and Internet infrastructure (called a platform).
The hardware and software services are available to
general public, enterprises, corporations and businesses markets.
TYPES OF CLOUD:
There are different types of clouds that you can subscribe to depending on your needs. As a home user or small business owner, you will most likely use public cloud services.
1.public
2.hybrid
3.community
4.private
PURPOSE AND BENEFITS
-Cloud computing enables companies and applications, which are system infrastructure dependent, to be infrastructure-less.
-By using the Cloud infrastructure on “pay as used and on demand”, all of us can save in capital and operational investment!
-Clients can:
Put their data on the platform instead of on their own desktop PCs and/or on their own servers.
They can put their applications on the cloud and use the servers within the cloud to do processing and data manipulations etc.
Features of Cloud Computing
• Cost
• Agility
• Security
• Reliability
• Scalability
• Availability
• Performance
• Device and Location Independence
Cloud Computing Service Providers
• Amazon
• App Nexus
• Google AppEngine
• Go Grid
• Microsoft Windows Azure
• Rack Space
Conclusion
The cloud provides many options for the everyday computer user as well as large and small businesses. It opens up the world of computing to a broader range of uses and increases the ease of use by giving access through any internet connection.
However, with this increased ease also come drawbacks. You have less control over who has access to your information and little to no knowledge of where it is stored.
You also must be aware of the security risks of having data stored on the cloud. The cloud is a big target for malicious individuals and may have disadvantages because it can be accessed through an unsecured internet connection.
Introduction
m Definiton of Cloud Computing
p Characteristics of Cloud Computing
p Benefits of Cloud Computing
m Cloud Infrastructure
m Service Delivery Models (IAAS, PAAS and SAAS)
m Cloud Deployment Models/ Types of Cloud
m Pros and Cons of Cloud Computing
The enterprise landscape is rapidly changing. Data is ubiquitous. Information is flowing into an organization’s applications from more sources than ever before. Business expec-tations are also changing. Corporations today demand speed and flexibility from their applications. Enterprise want services that allow them to make better business decisions, create more satisfied customers, and react ever more quickly to evolving market condi-tions. Current economic circumstances and increased competition are also driving the demand for a more effective model to deliver applications and services.
This relentless push for a faster, better and more cost-effective technology delivery model has set the stage for new approaches to application development, deployment and management. Several technologies such as grid computing, virtualization, and service-oriented architecture (SOA) have offered partial solutions for enterprises that require applications with greater scalability, agility and easier management capabilities. However, these alone have not been enough.
Enter cloud computing, an innovative model for delivering IT infrastructure, applications and data that shifts the emphasis from static, stand-alone application silos to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network.
Today, many forward-thinking enterprises are using cloud environments to take advan-tage of the increased scalability, agility, automation, and efficiency that this technology can deliver. Yet, because cloud computing has evolved so quickly, there are still many questions surrounding it. To understand the promise of cloud computing, decision makers and IT professionals must examine its development and benefits from an enterprise perspective.
Beginning with the origins of cloud computing, this paper will help define exactly what cloud computing is and how the enterprise can benefit from it. In doing so, the paper outlines a number of “cloud characteristics” which together illustrate the true potential of cloud computing and provide a framework for assessing current and future cloud offerings. Finally, the paper draws a distinction between infrastructure-oriented clouds and platform-oriented clouds and explains how cloud platforms allow end-user applica-tions to unlock the true promise of cloud computing.
El futuro de marketing an america latina (16 9)Esteban Kolsky
Presentacion para el Summit de SAP en Bogota el 29 de Julio de 2015.
Describe tres tendencias y seis iniciativas a usar para crear e implementar una estrategia exceptional de marketing para el 2015 y mas.
Fault Tolerance in AWS Distributed Cloud ComputingCaner KAYA
Abstract— The cloud computing enable information technologies solutions by using the visual machines to provide resource-sharing and using on demand basis; so within this complex, this area is becoming more attractive for researching. Upon the rapid development of these technologies, the fault tolerance of cloud computing has become one of the most important topic for information technologies. This requirement has become forefront since, this system needs reliability and must be ready all the time. This case-study, review the techniques that protect the cloud computing and user systems from process fault. One of the indications is as shown below, that, the cloud computing is prone to create faults. The main goals of the fault tolerance are to protect financial loses, to achieve the restoration of the system. The case study has review the scenario that the fault, repetitions could be solved by checkpoints and back-ups. The Amazon AWS is shown asan example for the fault-tolerance.
Keywords- Cloud Computing; Fault Tolerance; Dependability ; Availability ; Redundancy; Human Factor: Replication ;Amazon Web Services.
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Presentation at CCC (Callidus Customer Conference) in Vegas earlier this year (April 2015). Covers the topics related to Customer Experience at a high level for Executives to get the knowledge they need.
Presentation on long-tail of marketing given to Infor client meeting in Barcelona in March 2012. Of course, you will need some of the talk track, but there is good data in here IMO.
Changing the ‘experience’ of customer experienceEsteban Kolsky
Slide deck from 07-12-2011 Webinar with SAP and Management IQ. Talks about how to do Customer Service better by focusing customer experience, and how to accommodate the current issues in Customer Service in the design.
Slide deck from the Webinar with KANA Software to discuss the rise of knowledge infused processes, evolution of knowledge in the organization, and providing better self-service solutions.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
6. defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
7. defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
8. defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
cloud computing is a model for enabling ubiquitous, convenient, on-
demand network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and services) that
can be rapidly provisioned and released with minimal management effort
or service provider interaction
NIST
9. defining the cloud by “the book”
cloud computing is the delivery of computing as a service rather than
a product, whereby shared resources, software, and information are
provided to computers and other devices as a utility (like the electricity
grid) over a network (typically the internet)
wikipedia
cloud computing is a model for enabling ubiquitous, convenient, on-
demand network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and services) that
can be rapidly provisioned and released with minimal management effort
or service provider interaction
NIST
10. defining the cloud, the “purist” way
• leverage, mashup parts of history, current
definitions
– distributed computing
– single instance with replication
– uses systems management
– computing as a service
– separation into three layers
– open network
– connected and integrated
– measured by the usage, not by the user
– public, public, and public
19. debunking integration: solution a
S
P
I
S
P
I
S
P
I
S
P
I
SaaS-SaaS integration, within
the application, leveraging
the cloud
similar to existing, uses
service calls, middleware
20. debunking integration: solution b
S
P
I
S
P
I
S
P
I
S
P
IPaaS-PaaS integration,
leveraging the cloud, no need
for middleware,
easiest for elasticity (scale
out), establish once, reuse
many times as necessary
21. scalability: three sustaining pillars
design for
scalability
in the
cloud
scalability
must occur
in two
ways – up
and out
define
scalability by
Capacity
Availability
Performance
cloud scalability
the entire concept of cloud computing was conceived for scalability
sake
23. making the case for cloud computing E1
conomics
easiest part of the equation: someone else hosts hardware, software,
maintenance
anyway to look at it, remote, distributed computing is cheaper
move from CAPEX to OPEX is very attractive to managing stakeholders
cloud ROI traditionally done by comparing IT budgets to cloud expenses
#mmmkay
scalability, integration are cheaper and easier, security is still under (hot)
debate
25. making the case for cloud computing E2
lasticity
inherent to cloud architectures
makes case for scalability, high-availability, failover planning
done wrong – remember the failure of amazon EC2 and the
problems it caused
is a scale-out model in single-tenancy, multi-instance, that cannot
be tested
requires systems management for proper instance maintenance
27. making the case for cloud computing E3
nterprise application stores
mobile, social, user empowerment – all changed the game
users aren’t putting up with big, complex applications – they want “apps” on
iPad
best bet for support for all business is adoption of EAS, cloud is a must for that
model scalability, flexible interfaces, myriad device access via platform – all
part of the cloud two-to-three year trend, if you haven’t started – better get
going
29. making the case for cloud computing E4
xpansion
plans for all business units in next few years include “cloud” and SaaS
plans for IT over next three-to-four years include cloud infrastructure
integration, plans from partners, providers, suppliers, associates include cloud
in next five years
expansion of any organization must include cloud going forward, no questions
if all other fails, cite the fact that competitors are expanding into cloud
#Winning
31. making the case for cloud computing E5
volution
evolution of the world comes down to cloud, organizations have to adapt
vendors are evolving their products from hosted, on-demand to cloud
ventures with partners, other organizations will demand cloud; three-to-four
years
customers are demanding cloud –stirred up by microsoft “to the cloud” TV ads
with differentiation of what is cloud and how to deploy in it, definitely a must-
do
33. making the case for cloud computing E6
infrastructur
reports say from 10% to 30% of IT budgets put on cloud infrastructure
reports highlight more money spent by BU than IT on SaaS applications;
continuing
organizations cannot leverage the cloud as an external service only, must
integrate
to make cloud work across organization, to retain security, to enhance
integration – IT must be responsible for centralized cloud infrastructure; CEOs
are seeing this
34. issues: hosted != on-demand != cloud
• hosted: a vendor puts a web-interface to their apps
– MT (multitenancy) is a big deal here
– licensing is by the user, as usual
– reduced functionality or poor performance by comparison
• on-demand: vendors leverages SaaS, PaaS model
– web interface
– MT benefits vendor; not so much clients
– usually SaaS and PaaS “all in one” failing to leverage cloud
• cloud: three layer distributed computing model
– MT, single-instance hard to scale; ST, multi-instance better
– licensing by usage, starting, is winner model for biz
35. issues: private cloud
• short, simple, sweet
• today’s private cloud is used as a bridge between
client-server, web-based, on-demand, and SaaS
worlds to get to the real cloud infrastructure
• use if you must, you are better off planning around it
any well done definition of the cloud specifically
calls for open networks to support the cloud;
private clouds violate core tenet of cloud
36. your next steps
• define the cloud (for you)
• take charge of your existing “cloud” initiatives
–across stakeholders
–make case for central IT control
• setup 3-5 years strategy and investment
• get going, do your infrastructure while you
leverage SaaS and on demand solutions
• learn, implement, learn, implement – you get the
idea
American society of mechanical engineersNew concepts technologies, such as distributed computingUsing computers? No, but the concept was developed with views to the future
American society of mechanical engineersNew concepts technologies, such as distributed computingUsing computers? No, but the concept was developed with views to the future
1931 –Air Force invest $3MM towards understanding how distributed computing can change the world1946 – RAND defines distributed computing models1970 – IBM starts playing with models for grid computing (not like today, think shared timeshare, plus the “owned” most of the “iron)1976 – NCC the future of distributed computing systems, “future trends in distributed computing systems” mentions grid computing1984 – SUN (stanford university network) computer1991,1993 –- CORBA, COM/DCOM - Larry Elison, networking computing is nothing new – why make such a fuss?1999 – salesforce launches using SaaS model (from distributed computing fame, does not mention cloud yet – no software, hosted was their model – MT begins in earnest)2004 – eric schmidt make first reference to cloud computing since internet came about, starts craziness - 2009 – sirocco (wikipedia -
FearChange of infrastructureUpgrade cycleThree core problemsScalabilityIntegrationSecurity