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ICTe Cloud Computing: Business Case and Technical Kris A Jamsa: Cloud computing: SaaS, PaaS, IaaS, Virtualization, Business Models, Mobile. Cloud Computing - Download as Powerpoint Presentation .ppt /.pptx), PDF File .pdf), Text Kris Jamsa, Cloud Computing, Jones & Bartlett Learning, Mobile, Security and More By Dr. Kris Jamsa. Cloud computing is Read Online Cloud Computing: SaaS, PaaS, IaaS, Virtualizatio pdf.
PaaS Benefits In addition to the benefits of IaaS scalability, economy of scale, lower overhead, etc. PaaS provides the user with current system software. Updates, patches, other issues are handled automatically.
IT department can focus on application development and does not need to deal with server-related issues. PaaS Example Force. Simplifies the development of enterprise applications: A comprehensive array of technologies built on top of the Force. Whether you need to connect to SAP, Oracle, Microsoft, or another on-premises or cloudbased application, integration now takes much less effort than ever before Delivery Models: SaaS Complete software applications are offered Customers access apps directly through Web interfaces.
SaaS: Advantages Reduce or eliminate need for on-site data center Pay-as-you-go model, no big up-front investment in either hardware or software Scalability in number of servers, amount of storage, etc. Device-independent access to applications Improved disaster recovery, less interruption, ideally but what about Google outages?
Enabling Technologies Characteristics of Clouds NIST report On-demand self-service: consumers can acquire the necessary computational resources without having to interact with human service providers.
Ubiquitous network access: cloud features dont require special devices laptops, mobile phones, etc. Resource pooling: cloud resources are pooled to serve many customers using a multi-tenant model, with different physical and virtual resources Characteristics of Clouds NIST report Rapid elasticity: resources can be allocated and de-allocated quickly as needed.
Measured service: resource use is measured and monitored; charges are made based on usage and service type e. Multiple servers can share a single computer or a shared cluster for improved CPU utilization. Support for legacy systems based on old operating systems and applications Customers can choose their preferred OS; different apps with different OSs can run on the same hardware. Example: sites EC2 provides an API that allows users to configure virtualized hardware to support any kind of application.
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Clouds make use of existing data centers, based on cluster and grid technology Combining existing hardware with virtualizing software makes it possible to provide the elasticity that characterizes cloud computing. Large data centers SGI Ice Cube data center Outside: 20 x 40, inside: an up-to-date data center complete with power, cooling facilities, racks for SGI servers and storage systems, et. Self-monitoring, self-correcting Hides the complexity of distributed systems Example: load balancing Demands for a given service vary over time During slack periods one virtual server may be sufficient; when client requests increase an autonomic system can allocate a load balancing server to direct requests to two or more servers in a round-robin fashion.
When demand decreases, return to original level.
What is cloud computing virtualisation iaas paas and
It deals with external, not internal issues, e. In SOAs, the components include various web services, selfcontained, modular components that communicate in some standardized way XML, SOAP, and can be easily integrated into other applications. A developer builds an application from web services and provides it with a GUI to interface to users.
Example: Stand alone controllers that monitor building HVAC systems can be networked to provide integrated building automation and energy management AutomatedBuildings. Grids and clouds are both classified as utilities, but clouds offer more features than the typical grid, and usually support easier interaction.
Utility computing is a feature of public clouds. Browser as a platform indicates the use of a browser as the interface to application software. Cloud Design Objectives Data storage, processing, software moves off the desktop and into the cloud Users enter into Service Level Agreements SLAs with providers and pay based on the SLA Cloud must be able to scale resources and services as the users needs grow or shrink Privacy must be guaranteed!
Quality of service should be standardized. Standards must be agreed on to prevent data lock-in, which means that once a customer is committed to one service provider it is not possible to shift to another. Cloud Economics Elasticity Example from Armbrust, et al.
Cloud Economics Transferring Risk from Armbrust, et al. Suppose a private data center is sized to meet the expected peak load, but some event e. In undergoing this life, lots of people constantly attempt to do and obtain the very best.
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