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  • Cloud computing is Internet -based computing , whereby shared resources, software and information are provided to computers and other devices on-demand, like a public utility. The term cloud is used as a metaphor for the Internet, based on the cloud drawing used in the past to represent the telephone network, [5] and later to depict the Internet in computer network diagrams as an abstraction of the underlying infrastructure it represents It is a paradigm shift following the shift from mainframe to client-server that preceded it in the early '80s. Details are abstracted from the users who no longer have need of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. [1] Cloud computing describes a new supplement, consumption and delivery model for IT services based on the Internet, and it typically involves the provision of dynamically scalable and often virtualized resources as a service over the Internet . [2][3] It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet. [4] . [6] Typical cloud computing providers deliver common business applications online which are accessed from another web service or software like a web browser , while the software and data are stored on servers . The majority of cloud computing infrastructure consists of reliable services delivered through data centers and built on servers. Clouds often appear as single points of access for all consumers' computing needs. Commercial offerings are generally expected to meet quality of service (QoS) requirements of customers and typically offer SLAs . [7]
  • Oportunidad de negocio Anticipar mercado Aprovechamiento de clientes existentes
  • History The underlying concept of cloud computing dates back to 1960 , when John McCarthy opined that "computation may someday be organized as a public utility "; indeed it shares characteristics with service bureaus that date back to the 1960s By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them", [24] and observed that "[o]rganisations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to cloud computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas Agility improves with users' ability to rapidly and inexpensively re-provision technological infrastructure resources. [26] Cost is claimed to be greatly reduced and capital expenditure is converted to operational expenditure [27] . This ostensibly lowers barriers to entry , as infrastructure is typically provided by a third-party and does not need to be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is fine-grained with usage-based options and fewer IT skills are required for implementation (in-house). [28] Device and location independence [29] enable users to access systems using a web browser regardless of their location or what device they are using (e.g., PC, mobile). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect from anywhere. [28] Multi-tenancy enables sharing of resources and costs across a large pool of users thus allowing for: Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10–20% utilized. [22] Reliability improves through the use of multiple redundant sites, which makes cloud computing suitable for business continuity and disaster recovery . [30] Nonetheless, many major cloud computing services have suffered outages, and IT and business managers can at times do little when they are affected. [31][32] Scalability via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface. [28] One of the most important new methods for overcoming performance bottlenecks for a large class of applications is data parallel programming on a distributed data grid. [33] Security could improve due to centralization of data [34] , increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels [35] . Security is often as good as or better than under traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford. [36] Providers typically log accesses, but accessing the audit logs themselves can be difficult or impossible. Furthermore, the complexity of security is greatly increased when data is distributed over a wider area and / or number of devices. Maintenance cloud computing applications are easier to maintain, since they don't have to be installed on each user's computer. They are easier to support and to improve since the changes reach the clients instantly. Metering cloud computing resources usage should be measurable and should be metered per client and application on daily, weekly, monthly, and annual basis. This will enable clients on choosing the vendor cloud on cost and reliability (QoS).
  • History The underlying concept of cloud computing dates back to 1960, when John McCarthy opined that "computation may someday be organized as a public utility"; indeed it shares characteristics with service bureaus that date back to the 1960s By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them", [24] and observed that "[o]rganisations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to cloud computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas Agility improves with users' ability to rapidly and inexpensively re-provision technological infrastructure resources. [26] Cost is claimed to be greatly reduced and capital expenditure is converted to operational expenditure [27] . This ostensibly lowers barriers to entry, as infrastructure is typically provided by a third-party and does not need to be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is fine-grained with usage-based options and fewer IT skills are required for implementation (in-house). [28] Device and location independence [29] enable users to access systems using a web browser regardless of their location or what device they are using (e.g., PC, mobile). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect from anywhere. [28] Multi-tenancy enables sharing of resources and costs across a large pool of users thus allowing for: Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10–20% utilized. [22] Reliability improves through the use of multiple redundant sites, which makes cloud computing suitable for business continuity and disaster recovery. [30] Nonetheless, many major cloud computing services have suffered outages, and IT and business managers can at times do little when they are affected. [31][32] Scalability via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface. [28] One of the most important new methods for overcoming performance bottlenecks for a large class of applications is data parallel programming on a distributed data grid. [33] Security could improve due to centralization of data [34] , increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels [35] . Security is often as good as or better than under traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford. [36] Providers typically log accesses, but accessing the audit logs themselves can be difficult or impossible. Furthermore, the complexity of security is greatly increased when data is distributed over a wider area and / or number of devices. Maintenance cloud computing applications are easier to maintain, since they don't have to be installed on each user's computer. They are easier to support and to improve since the changes reach the clients instantly. Metering cloud computing resources usage should be measurable and should be metered per client and application on daily, weekly, monthly, and annual basis. This will enable clients on choosing the vendor cloud on cost and reliability (QoS).
  • History The underlying concept of cloud computing dates back to 1960, when John McCarthy opined that "computation may someday be organized as a public utility"; indeed it shares characteristics with service bureaus that date back to the 1960s By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them", [24] and observed that "[o]rganisations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to cloud computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas Agility improves with users' ability to rapidly and inexpensively re-provision technological infrastructure resources. [26] Cost is claimed to be greatly reduced and capital expenditure is converted to operational expenditure [27] . This ostensibly lowers barriers to entry, as infrastructure is typically provided by a third-party and does not need to be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is fine-grained with usage-based options and fewer IT skills are required for implementation (in-house). [28] Device and location independence [29] enable users to access systems using a web browser regardless of their location or what device they are using (e.g., PC, mobile). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect from anywhere. [28] Multi-tenancy enables sharing of resources and costs across a large pool of users thus allowing for: Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10–20% utilized. [22] Reliability improves through the use of multiple redundant sites, which makes cloud computing suitable for business continuity and disaster recovery. [30] Nonetheless, many major cloud computing services have suffered outages, and IT and business managers can at times do little when they are affected. [31][32] Scalability via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface. [28] One of the most important new methods for overcoming performance bottlenecks for a large class of applications is data parallel programming on a distributed data grid. [33] Security could improve due to centralization of data [34] , increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels [35] . Security is often as good as or better than under traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford. [36] Providers typically log accesses, but accessing the audit logs themselves can be difficult or impossible. Furthermore, the complexity of security is greatly increased when data is distributed over a wider area and / or number of devices. Maintenance cloud computing applications are easier to maintain, since they don't have to be installed on each user's computer. They are easier to support and to improve since the changes reach the clients instantly. Metering cloud computing resources usage should be measurable and should be metered per client and application on daily, weekly, monthly, and annual basis. This will enable clients on choosing the vendor cloud on cost and reliability (QoS).
  • History The underlying concept of cloud computing dates back to 1960, when John McCarthy opined that "computation may someday be organized as a public utility"; indeed it shares characteristics with service bureaus that date back to the 1960s By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them", [24] and observed that "[o]rganisations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to cloud computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas Agility improves with users' ability to rapidly and inexpensively re-provision technological infrastructure resources. [26] Cost is claimed to be greatly reduced and capital expenditure is converted to operational expenditure [27] . This ostensibly lowers barriers to entry, as infrastructure is typically provided by a third-party and does not need to be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is fine-grained with usage-based options and fewer IT skills are required for implementation (in-house). [28] Device and location independence [29] enable users to access systems using a web browser regardless of their location or what device they are using (e.g., PC, mobile). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect from anywhere. [28] Multi-tenancy enables sharing of resources and costs across a large pool of users thus allowing for: Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10–20% utilized. [22] Reliability improves through the use of multiple redundant sites, which makes cloud computing suitable for business continuity and disaster recovery. [30] Nonetheless, many major cloud computing services have suffered outages, and IT and business managers can at times do little when they are affected. [31][32] Scalability via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface. [28] One of the most important new methods for overcoming performance bottlenecks for a large class of applications is data parallel programming on a distributed data grid. [33] Security could improve due to centralization of data [34] , increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels [35] . Security is often as good as or better than under traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford. [36] Providers typically log accesses, but accessing the audit logs themselves can be difficult or impossible. Furthermore, the complexity of security is greatly increased when data is distributed over a wider area and / or number of devices. Maintenance cloud computing applications are easier to maintain, since they don't have to be installed on each user's computer. They are easier to support and to improve since the changes reach the clients instantly. Metering cloud computing resources usage should be measurable and should be metered per client and application on daily, weekly, monthly, and annual basis. This will enable clients on choosing the vendor cloud on cost and reliability (QoS).
  • 04/21/10 20:22 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • 04/21/10 20:22 © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
  • History The underlying concept of cloud computing dates back to 1960, when John McCarthy opined that "computation may someday be organized as a public utility"; indeed it shares characteristics with service bureaus that date back to the 1960s By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them", [24] and observed that "[o]rganisations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to cloud computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas Agility improves with users' ability to rapidly and inexpensively re-provision technological infrastructure resources. [26] Cost is claimed to be greatly reduced and capital expenditure is converted to operational expenditure [27] . This ostensibly lowers barriers to entry, as infrastructure is typically provided by a third-party and does not need to be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is fine-grained with usage-based options and fewer IT skills are required for implementation (in-house). [28] Device and location independence [29] enable users to access systems using a web browser regardless of their location or what device they are using (e.g., PC, mobile). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect from anywhere. [28] Multi-tenancy enables sharing of resources and costs across a large pool of users thus allowing for: Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10–20% utilized. [22] Reliability improves through the use of multiple redundant sites, which makes cloud computing suitable for business continuity and disaster recovery. [30] Nonetheless, many major cloud computing services have suffered outages, and IT and business managers can at times do little when they are affected. [31][32] Scalability via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface. [28] One of the most important new methods for overcoming performance bottlenecks for a large class of applications is data parallel programming on a distributed data grid. [33] Security could improve due to centralization of data [34] , increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels [35] . Security is often as good as or better than under traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford. [36] Providers typically log accesses, but accessing the audit logs themselves can be difficult or impossible. Furthermore, the complexity of security is greatly increased when data is distributed over a wider area and / or number of devices. Maintenance cloud computing applications are easier to maintain, since they don't have to be installed on each user's computer. They are easier to support and to improve since the changes reach the clients instantly. Metering cloud computing resources usage should be measurable and should be metered per client and application on daily, weekly, monthly, and annual basis. This will enable clients on choosing the vendor cloud on cost and reliability (QoS).
  • History The underlying concept of cloud computing dates back to 1960, when John McCarthy opined that "computation may someday be organized as a public utility"; indeed it shares characteristics with service bureaus that date back to the 1960s By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them", [24] and observed that "[o]rganisations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to cloud computing ... will result in dramatic growth in IT products in some areas and significant reductions in other areas Agility improves with users' ability to rapidly and inexpensively re-provision technological infrastructure resources. [26] Cost is claimed to be greatly reduced and capital expenditure is converted to operational expenditure [27] . This ostensibly lowers barriers to entry, as infrastructure is typically provided by a third-party and does not need to be purchased for one-time or infrequent intensive computing tasks. Pricing on a utility computing basis is fine-grained with usage-based options and fewer IT skills are required for implementation (in-house). [28] Device and location independence [29] enable users to access systems using a web browser regardless of their location or what device they are using (e.g., PC, mobile). As infrastructure is off-site (typically provided by a third-party) and accessed via the Internet, users can connect from anywhere. [28] Multi-tenancy enables sharing of resources and costs across a large pool of users thus allowing for: Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10–20% utilized. [22] Reliability improves through the use of multiple redundant sites, which makes cloud computing suitable for business continuity and disaster recovery. [30] Nonetheless, many major cloud computing services have suffered outages, and IT and business managers can at times do little when they are affected. [31][32] Scalability via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface. [28] One of the most important new methods for overcoming performance bottlenecks for a large class of applications is data parallel programming on a distributed data grid. [33] Security could improve due to centralization of data [34] , increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels [35] . Security is often as good as or better than under traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford. [36] Providers typically log accesses, but accessing the audit logs themselves can be difficult or impossible. Furthermore, the complexity of security is greatly increased when data is distributed over a wider area and / or number of devices. Maintenance cloud computing applications are easier to maintain, since they don't have to be installed on each user's computer. They are easier to support and to improve since the changes reach the clients instantly. Metering cloud computing resources usage should be measurable and should be metered per client and application on daily, weekly, monthly, and annual basis. This will enable clients on choosing the vendor cloud on cost and reliability (QoS).

Run 2 0 keynote azure Run 2 0 keynote azure Presentation Transcript

  • Guadalupe Casuso Arquitecta de Soluciones Microsoft Argentina y Uruguay [email_address]
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  • Costo en DC (1000 servers) Costo en DC (50.000 servers) Ratio Red USD 95 per Mbit/sec/mes USD 13 per Mbit/sec/mes 7.1 Almacenamiento USD 2.20 GB/mes USD 0.40 GB/mes 5.7 Administración 140 servers / admin 1000 servers / admin 7.1 Precio por KW/H Estado (EEUU) USD 3.6c Idaho Hidroeléctrica local USD 10.0c California Mayormente a distancia USD 18.0c Hawaii Off shore, barco
  •  
    • 11 millones de artículos desde el año 1851
    • 4TB – Formato TIFF
    • 100 computadoras virtuales
    • 11.000 PDFs, < 24 horas
    • 10c x 24 x 100 = $240
    + $240
    • Plataforma de Servicios: Nuevo Paradigma
    • Disponibilidad “infinita” de recursos
    • Interoperabilidad: estándares
    • Rehuso de habilidades
    • Extensibilidad: Server, Escritorio, Móvil
  •  
  • Small, with a single-core 1.6 GHz CPU, 1.75 GB of memory, and 225 GB of instance storage Medium, with a dual-core 1.6 GHz CPU, 3.5 GB of memory, and 490 GB of instance storage Large, with a four-core 1.6 GHz CPU, 7 GB of memory, and 1,000 GB of instance storage Extra large, with a eight-core 1.6 GHz CPU, 14 GB of memory, and 2,040 GB of instance storage
  •  
  • Luis Pandolfi Especialista Técnico Infocorp [email_address]
  •  
  •  
  • Sebastián Gómez Investigación & Desarrollo Artech [email_address]
  • Client Outbound bi-directional socket Kept alive in background .NET Service Bus sb://.../myqueue Client Empresa 1 Empresa 2 Firewall Firewall Outbound one-way socket Message routed accordingly
  • Others… Cloud
  •  
  • [email_address] [email_address] [email_address]