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2.VIRTUALIZATION
By ,
Prashant Sahatiya,
Asst. Prof , IT Department,
PIET,Parul University
KEY POINTS
• Virtualization of Computing
• Storage and Resources
• IaaS, PaaS,SaaS
VIRTUALIZATION OF COMPUTING[2]
• Create shared pools of resources
• Logical address can be mapped to a
physical resource
• Cloud : collection of objects that are
grouped together
• Pooling resources to allocate them on
demand
• Efficient utilization
• Provide reasonable costs to users
• Proactively react to demand
VIRTUALIZATION [2]
• Virtualization
assigns a logical
name for a
physical resource
and then
provides a
pointer to that
physical resource
when a request
is made.
VIRTUALIZATION [2]
• Virtualization assigns a logical name for a physical resource and then provides a
pointer to that physical resource when a request is made.
• Different types of virtualization:
• Access:
• Application:
• CPU:
• Storage:
VIRTUALIZATION [2]
• Different types of virtualization:
• Access: A client can request access to a cloud service from any location.
VIRTUALIZATION [2]
• Different types of virtualization:
• Application: A cloud has multiple application instances and directs requests to
an instance based on conditions.
VIRTUALIZATION [2]
• CPU virtualization : Computers can be partitioned into a set of virtual machines
with each machine being assigned a workload. Alternatively, systems can be
virtualized through load-balancing technologies.
VIRTUALIZATION [2]
• Storage: Data is stored across storage devices and often replicated for
redundancy.
OVERALL VIRTUALIZATION [2]
• Virtualization can
be defined as the
abstraction of the
four computing
resources
(storage,
processing
power, memory,
and network or
I/O).
• Service-based: A service-based architecture is where clients are
abstracted from service providers through service interfaces.
• Scalable and elastic: Services can be altered to affect capacity and
performance on demand.
• Shared services: Resources are pooled in order to create greater
efficiencies.
• Metered usage: Services are billed on a usage basis.
• Internet delivery: The services provided by cloud computing are
based on Internet protocols and formats.
LOAD BALANCING AND VIRTUALIZATION
• Load balancing is an optimization technique
• It can be used to increase utilization and throughput, lower latency, reduce
response time, and avoid system overload.
• The following network resources can be load balanced:
• Network interfaces and services such as DNS, FTP, and HTTP
• Connections through intelligent switches
• Processing through computer system assignment
• Storage resources
• Access to application instances
VIRTUALIZATION AD LOAD BALANCING
• A session ticket is
created by the
load balancer so
that subsequent
related traffic
from the client
that is part of
that session can
be properly
routed to the
same resource.
ADVANCED LOAD BALANCING
• Determine the current
utilization of the
resources in their pool
• The response time
• The work queue
length
• Connection latency
and capacity
• Other factors in order
to assign tasks to each
resource.
ADVANCED LOAD BALANCING [2]
• An Application Delivery Controller (ADC) is a combination load balancer and
application server that is a server placed between a firewall or router and a
server farm providing Web services
Mobile
web
application Firewall
Server Load Balancer
CLOUD SERVICE MODELS
© 2019 Amazon Web Services, Inc. or its Affiliates. All rights reserved.
19
© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. This work may not be reproduced or redistributed, in whole or in part, without prior written permission
from Amazon Web Services, Inc. Commercial copying, lending, or selling is prohibited. Corrections or feedback on the course, please email us at: aws-course-
feedback@amazon.com. For all other questions, contact us at: https://aws.amazon.com/contact-us/aws-training/. All trademarks are the property of their owners.
Thank You
References
• [1] Barrie Sosinsky: "Cloud Computing Bible", Wiley-India, 2010
• [2] Rajkumar Buyya, James Broberg, Andrzej M. Goscinski: "Cloud
Computing: Principles and Paradigms", Wiley, 2011
21
© 2019 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

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2.Virtualization.pptx

  • 1. 2.VIRTUALIZATION By , Prashant Sahatiya, Asst. Prof , IT Department, PIET,Parul University
  • 2. KEY POINTS • Virtualization of Computing • Storage and Resources • IaaS, PaaS,SaaS
  • 3. VIRTUALIZATION OF COMPUTING[2] • Create shared pools of resources • Logical address can be mapped to a physical resource • Cloud : collection of objects that are grouped together • Pooling resources to allocate them on demand • Efficient utilization • Provide reasonable costs to users • Proactively react to demand
  • 4.
  • 5. VIRTUALIZATION [2] • Virtualization assigns a logical name for a physical resource and then provides a pointer to that physical resource when a request is made.
  • 6. VIRTUALIZATION [2] • Virtualization assigns a logical name for a physical resource and then provides a pointer to that physical resource when a request is made. • Different types of virtualization: • Access: • Application: • CPU: • Storage:
  • 7. VIRTUALIZATION [2] • Different types of virtualization: • Access: A client can request access to a cloud service from any location.
  • 8. VIRTUALIZATION [2] • Different types of virtualization: • Application: A cloud has multiple application instances and directs requests to an instance based on conditions.
  • 9. VIRTUALIZATION [2] • CPU virtualization : Computers can be partitioned into a set of virtual machines with each machine being assigned a workload. Alternatively, systems can be virtualized through load-balancing technologies.
  • 10. VIRTUALIZATION [2] • Storage: Data is stored across storage devices and often replicated for redundancy.
  • 11. OVERALL VIRTUALIZATION [2] • Virtualization can be defined as the abstraction of the four computing resources (storage, processing power, memory, and network or I/O).
  • 12.
  • 13. • Service-based: A service-based architecture is where clients are abstracted from service providers through service interfaces. • Scalable and elastic: Services can be altered to affect capacity and performance on demand. • Shared services: Resources are pooled in order to create greater efficiencies. • Metered usage: Services are billed on a usage basis. • Internet delivery: The services provided by cloud computing are based on Internet protocols and formats.
  • 14.
  • 15. LOAD BALANCING AND VIRTUALIZATION • Load balancing is an optimization technique • It can be used to increase utilization and throughput, lower latency, reduce response time, and avoid system overload. • The following network resources can be load balanced: • Network interfaces and services such as DNS, FTP, and HTTP • Connections through intelligent switches • Processing through computer system assignment • Storage resources • Access to application instances
  • 16. VIRTUALIZATION AD LOAD BALANCING • A session ticket is created by the load balancer so that subsequent related traffic from the client that is part of that session can be properly routed to the same resource.
  • 17. ADVANCED LOAD BALANCING • Determine the current utilization of the resources in their pool • The response time • The work queue length • Connection latency and capacity • Other factors in order to assign tasks to each resource.
  • 18. ADVANCED LOAD BALANCING [2] • An Application Delivery Controller (ADC) is a combination load balancer and application server that is a server placed between a firewall or router and a server farm providing Web services Mobile web application Firewall Server Load Balancer
  • 19. CLOUD SERVICE MODELS © 2019 Amazon Web Services, Inc. or its Affiliates. All rights reserved. 19
  • 20. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. This work may not be reproduced or redistributed, in whole or in part, without prior written permission from Amazon Web Services, Inc. Commercial copying, lending, or selling is prohibited. Corrections or feedback on the course, please email us at: aws-course- feedback@amazon.com. For all other questions, contact us at: https://aws.amazon.com/contact-us/aws-training/. All trademarks are the property of their owners. Thank You
  • 21. References • [1] Barrie Sosinsky: "Cloud Computing Bible", Wiley-India, 2010 • [2] Rajkumar Buyya, James Broberg, Andrzej M. Goscinski: "Cloud Computing: Principles and Paradigms", Wiley, 2011 21 © 2019 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Editor's Notes

  1. Thanks for participating!