This document discusses cloud and grid computing. It begins by defining cloud and grid computing and comparing their similarities and differences. Cloud computing focuses on servicing multiple users through virtualization at several levels, while grid computing focuses on coordinating shared resources to solve large problems. Both utilize on-demand access to pooled computing resources over a network. The document then provides examples of current grid implementations in the Netherlands, Europe, and for scientific research. It also discusses some of the largest cloud companies and considerations around privacy and security in the cloud.
When the world changes, it brings both disruption and progress. Cloud computing is rightly emerging as the key technology trend of 2021 and is becoming a technology of choice across industries for driving the app-based technology ecosystem. From healthcare to education, and from manufacturing to gaming, every industry is moving its IT infrastructure to the cloud. This presentation captures the future trends in cloud computing that we think will drive the cloud revolution in 2021.
Extentia® is a global technology and services firm that helps clients transform and realize their digital strategies. With a unique Experience Centric Transformation approach, our ground-breaking solutions are in the space of mobile, cloud, and design. Our team is differentiated by an emphasis on excellent design skills that they bring to every project. Focused on enterprise mobility, cloud computing, and user experiences, we strive to accomplish and surpass their customers’ business goals. Our inclusive work environment and culture inspire team members to be innovative and creative and to provide clients with an exceptional partnership experience.
Expand your digital horizons with us. We will help you transform your business and surpass your goals.
Write to us at inquiries@extentia.com
https://www.extentia.com/
In a fast growing storage space management world, it is now an important task to think about options that can safely store our data and at a cheaper cost. Small scale businesses, that cant afford their own storage spaces, can easily take the advantage of such services.
When the world changes, it brings both disruption and progress. Cloud computing is rightly emerging as the key technology trend of 2021 and is becoming a technology of choice across industries for driving the app-based technology ecosystem. From healthcare to education, and from manufacturing to gaming, every industry is moving its IT infrastructure to the cloud. This presentation captures the future trends in cloud computing that we think will drive the cloud revolution in 2021.
Extentia® is a global technology and services firm that helps clients transform and realize their digital strategies. With a unique Experience Centric Transformation approach, our ground-breaking solutions are in the space of mobile, cloud, and design. Our team is differentiated by an emphasis on excellent design skills that they bring to every project. Focused on enterprise mobility, cloud computing, and user experiences, we strive to accomplish and surpass their customers’ business goals. Our inclusive work environment and culture inspire team members to be innovative and creative and to provide clients with an exceptional partnership experience.
Expand your digital horizons with us. We will help you transform your business and surpass your goals.
Write to us at inquiries@extentia.com
https://www.extentia.com/
In a fast growing storage space management world, it is now an important task to think about options that can safely store our data and at a cheaper cost. Small scale businesses, that cant afford their own storage spaces, can easily take the advantage of such services.
Evolution of Distributed computing: Scalable computing over the Internet – Technologies for network based systems – clusters of cooperative computers - Grid computing Infrastructures – cloud computing - service oriented architecture – Introduction to Grid Architecture and standards – Elements of Grid – Overview of Grid Architecture.
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.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
PowerPoint Presentation on Distributed Operating Systems,reasons for opting for distributed systems over centralized systems,types of Distributed Systems,Process Migration and its advantages.
Evolution of Distributed computing: Scalable computing over the Internet – Technologies for network based systems – clusters of cooperative computers - Grid computing Infrastructures – cloud computing - service oriented architecture – Introduction to Grid Architecture and standards – Elements of Grid – Overview of Grid Architecture.
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.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
PowerPoint Presentation on Distributed Operating Systems,reasons for opting for distributed systems over centralized systems,types of Distributed Systems,Process Migration and its advantages.
In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
Key to the definition of cloud computing is the “cloud” itself. Here , the cloud is a large group of interconnected computers. These computers can be personal computers or network servers; they can be public or private. This cloud of computers extends beyond a single company or enterprise. The applications and data served by the cloud are available to broad group of users, cross-enterprise and cross-platform. Access is via the Internet. Any authorized user can access these docs and apps from any computer over any Internet connection.
This presentation contains basic introduction to cloud computing and Grid computing . Also mainly focusing on comparison in cloud and grid. This presentation taking some references on research papers.
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UiPath Test Automation using UiPath Test Suite series, part 4
Cloud and Grid Computing
1. Cloud and Grid Computing
Leen Blom
Centric Research & Development
June 21st, 2013
2. Cloud and Grid Computing
Part 1: Setting the scene
• What is Cloud Computing and Grid Computing
• Differences and similarities
• Using grids and clouds
Part 2: What happens today
• Grid activities in The Netherlands, Europe and Romania
• Privacy and Security in the Cloud
• The big cloud service providers
• Our vision on Cloud
3. What is Cloud and Grid?
Power grid metaphor for both terms
• Utility computing
• John McCarthy (AI, Lisp) opined in the 1960s that "computation
may someday be organized as a public utility."[link]
• Grid definition used nowadays (2002)
• “What is the Grid? A Three Point Checklist”,[link] Ian Foster lists
these primary attributes:
• Computing resources are not administered centrally.
• Open standards are used.
• Nontrivial quality of service is achieved.
• Cloud definition based on NIST (2011)
• NIST Definition of Cloud Computing
• NIST: National Institute of Standards and Technology
• Part of the U.S. Department of Commerce
• Origin unclear: cloud was used as a metaphor for the Internet
and a standardized cloud-like shape was used to denote a
network
4. Grid Computing
Grid Computing is concerned with
• “Coordinated resource sharing and problem solving in dynamic, multi-institutional
virtual organizations.” [Foster 2002]
Focus on
• The problem
• Coordination of resources shared
• Multi organizations involved
Tasks are “bigger” than resources needed
• One task to many resources
• Task split-up in parallel sub-tasks
Classes of Grid Computing
• High Performance Computing (HPC)
• Using message passing interfaces (MPI)
• Expensive
• Embarrassingly Parallel Computing (EPC)
• Or High Throughput Computing (HTC)
• Often Volunteer Computing like Boinc
5. Cloud Computing by NIST
Service Models
Public
Private
Community
Hybrid
Deployment
Models
source: http://www.nist.gov/itl/cloud/index.cfm
7. Why Cloud (and Grid)?
On-demand self-service
• A consumer can unilaterally provision computing capabilities without
requiring human interaction with each service provider.
Broad network access
• Capabilities are available over the network and accessed through standard
mechanisms
Resource pooling
• The provider’s computing resources are pooled to serve multiple consumers
• Customer generally has no control or knowledge over the exact location of
the provided resources
Rapid elasticity
• Capabilities can be elastically provisioned and released, in some cases
automatically, often appear to be unlimited and can be appropriated in any
quantity at any time.
Measured service
• Cloud systems automatically control and optimize resource use by
leveraging a metering
See also: http://arxiv.org/pdf/0901.0131
8. Cloud and Grid: similar concepts
On-demand self-service
• A consumer can unilaterally provision computing capabilities without
requiring human interaction with each service provider.
Broad network access
• Capabilities are available over the network and accessed through standard
mechanisms
Resource pooling
• The provider’s computing resources are pooled to serve multiple consumers
• Customer generally has no control or knowledge over the exact location of
the provided resources
Rapid elasticity
• Capabilities can be elastically provisioned and released, in some cases
automatically, often appear to be unlimited and can be appropriated in any
quantity at any time.
Measured service
• Cloud systems automatically control and optimize resource use by
leveraging a metering
Grid Cloud
Grid Cloud
Grid Cloud
Grid Cloud
Grid Cloud
Public
cloud only
Batch
oriented
Capabilities
must match
Depends
Commercial
grids
Public
cloud only
See also: http://arxiv.org/pdf/0901.0131
9. Cloud and Grid: different concepts
Grid
• Focus on the task at hand
• Need resources to complete
• Scientific research
• Might use dedicated hardware components
• Like GPU or storage
• Virtualization of jobs, not of programs
• Batch oriented
Cloud
• Focus on servicing multiple users (multi-tenant)
• Information workers in many cases
• Virtualization at several levels
• Infrastructure, Platform and Software
• Userinterfaces like Windows
10. Cloud fundamentals
Virtualization
Up- and downscaling
From Capex to Opex
• Prevents entry costs
• Easier to downscale
Increasing utilization
• Research of IBM/VMware
11. Cloud And Grid Computing
Cloud Computing is being integrated into Grids
Big Data, BigTable, Hadoop needs Grid techniques
• Shift from userinterface to “batchjobs”
Rendering software in the Cloud
• Offered as SaaS,
• Autodesk 360
• vSwarm (rendering for free)
• Underlying principles are Grid
Weather services
• Offered as SaaS to end users
• Meteo organizations
• Eurogrid.org
Financial services
13. Cloud: Privacy and Security
What is more secure: Private Cloud or Public Cloud?
• Private
• Pro: easier to isolate
• Con: need to keep knowledge up-to-date
• Public
• Pro: may expect top security measures
• Con: dependent on provider
What would respect privacy more: Private Cloud or Public Cloud?
• Private
• Pro: no intrusion of people outside
• Con: need to keep knowledge up-to-date
• Public
• Pro: easier to uniform policies
• Con: conflicting laws and jurisdiction in some cases
more than 77 million accounts
affected, 12 million had
unencrypted credit card numbers
National security electronic
surveillance program operated by
the United States National Security
Agency (NSA) since 2007
15. Grid examples
Old example: SETI@Home launched 1999
• Goal is to detect intelligent life outside Earth
• Uses Boinc: Open-source software for volunteer computing and grid computing
Life science Grid
• Contains a limited number of bioinformatics applications
• Free access for all
BiG Grid / SurfSara (NL)
• National e-Infrastructure for research, SurfSara
• Huygens: the national supercomputer / Lisa: the national compute cluster / GPU
cluster: a cluster equipped with GPUs / Grid: the Grid infrastructure / HPC Cloud: the
cloud computing infrastructure / Hadoop: Big Data analytics framework / DIS: Data
Ingest service / Collaboratorium: advanced visualization and presentation space /
Visualization: high-end render cluster
European Grid Infrastructure
• For scientists and researchers
Cartesius is the fastest supercomputer in the
Netherlands and eventually will be able to perform
more than one quadrillion computations per second
(1 Petaflop/s).
16. Grid examples
Rotterdam University of Applied Science (HR)
• Donates their spare capacity of 6000 desktop to Erasmus Medical
Center. Usage
• DNA-sequence analysis
• Simulating spread of infectious deseases
• MRI-scan analysis (Alzheimer)
• Technical
• HTCondor™ middleware
• Specialized workload management system for compute-intensive jobs
• Open Source provides by University of Wisconsin Madison
• HR research by their students (Bachelor)
• Fractal movie and rendering
• Security (desk cracker)
• Calculating prime numbers