Danny Quilton from Capacitas presented a paper, ‘Capacity Management and the Cloud’. The presentation made the case for capacity management of cloud-based services, highlighting the critical role of capacity management in controlling cloud cost. The presentation referenced a number of client engagement case studies to debunk some of the myths surrounding cloud:
Capacity can be turned up instantaneously
Capacity planning discipline is no longer required
Cloud capacity is cheap
Bottlenecks can be alleviated by expanding cloud capacity
Capacity management can be delegated to the cloud provider
Performance is guaranteed by the cloud provider
Sample of workshop given at CloudAsia 2012. Workshop is 700 slides, so this is just a small sample to give a feel for the content, depth and independent approach.
Cloud Computing - Challenges and Opportunities - Jens NimisJensNimis
IBM's cloud offerings will attract large customers by providing a coherent portfolio of cloud products and additional services covering development/test, analytics, storage, collaboration, and more. This comprehensive approach positions IBM to appeal to the needs of large enterprises.
The document discusses the shift in the IT industry towards cloud computing. It notes that cloud computing represents a new deployment option that offers flexible consumption of computing resources and storage on demand. While cloud computing promises potential cost savings and business agility, organizations need to carefully assess which workloads and applications are suitable for a cloud environment versus maintaining existing on-premises infrastructure. A hybrid approach that combines on-premises systems with cloud-based services may provide the optimal solution for most businesses.
This document summarizes Microsoft's vision for cloud computing. It discusses how cloud computing represents a shift from centralized, on-premises computing to an on-demand service model where scalable resources are provided over the internet. The document outlines Microsoft's consumer and business cloud offerings, including Software as a Service, Platform as a Service, and Infrastructure as a Service. It promotes Microsoft's private cloud solutions and Windows Azure platform as ways for organizations to leverage cloud computing.
Danny Quilton from Capacitas presented a paper, ‘Capacity Management and the Cloud’. The presentation made the case for capacity management of cloud-based services, highlighting the critical role of capacity management in controlling cloud cost. The presentation referenced a number of client engagement case studies to debunk some of the myths surrounding cloud:
Capacity can be turned up instantaneously
Capacity planning discipline is no longer required
Cloud capacity is cheap
Bottlenecks can be alleviated by expanding cloud capacity
Capacity management can be delegated to the cloud provider
Performance is guaranteed by the cloud provider
Sample of workshop given at CloudAsia 2012. Workshop is 700 slides, so this is just a small sample to give a feel for the content, depth and independent approach.
Cloud Computing - Challenges and Opportunities - Jens NimisJensNimis
IBM's cloud offerings will attract large customers by providing a coherent portfolio of cloud products and additional services covering development/test, analytics, storage, collaboration, and more. This comprehensive approach positions IBM to appeal to the needs of large enterprises.
The document discusses the shift in the IT industry towards cloud computing. It notes that cloud computing represents a new deployment option that offers flexible consumption of computing resources and storage on demand. While cloud computing promises potential cost savings and business agility, organizations need to carefully assess which workloads and applications are suitable for a cloud environment versus maintaining existing on-premises infrastructure. A hybrid approach that combines on-premises systems with cloud-based services may provide the optimal solution for most businesses.
This document summarizes Microsoft's vision for cloud computing. It discusses how cloud computing represents a shift from centralized, on-premises computing to an on-demand service model where scalable resources are provided over the internet. The document outlines Microsoft's consumer and business cloud offerings, including Software as a Service, Platform as a Service, and Infrastructure as a Service. It promotes Microsoft's private cloud solutions and Windows Azure platform as ways for organizations to leverage cloud computing.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
Cloud computing is a model for delivering IT capabilities as a service over a network. There are different ways to deploy cloud computing including private, public, hybrid, and community clouds. Customers are choosing various cloud models to meet their unique needs and priorities around flexibility, security, and cost. Hybrid cloud delivers benefits beyond only public or private cloud by allowing organizations to maintain control and visibility while reducing costs.
Swiftly increasing demand of computational
calculations in the process of business, transferring of files
under certain protocols and data centers force to develop an
emerging technology cater to the services for computational
need, highly manageable and secure storage. To fulfill these
technological desires cloud computing is the best answer by
introducing various sorts of service platforms in high
computational environment. Cloud computing is the most
recent paradigm promising to turn around the vision of
“computing utilities” into reality. The term “cloud
computing” is relatively new, there is no universal agreement
on this definition. In this paper, we go through with different
area of expertise of research and novelty in cloud computing
domain and its usefulness in the genre of management. Even
though the cloud computing provides many distinguished
features, it still has certain sorts of short comings amidst with
comparatively high cost for both private and public clouds. It
is the way of congregating amasses of information and
resources stored in personal computers and other gadgets
and further putting them on the public cloud for serving
users. Resource management in a cloud environment is a
hard problem, due to the scale of modern data centers, their
interdependencies along with the range of objectives of the
different actors in a cloud ecosystem. Cloud computing is
turning to be one of the most explosively expanding
technologies in the computing industry in this era. It
authorizes the users to transfer their data and computation to
remote location with minimal impact on system performance.
With the evolution of virtualization technology, cloud
computing has been emerged to be distributed systematically
or strategically on full basis. The idea of cloud computing has
not only restored the field of distributed systems but also
fundamentally changed how business utilizes computing
today. Resource management in cloud computing is in fact a
typical problem which is due to the scale of modern data
centers, the variety of resource types and their inter
dependencies, unpredictability of load along with the range of
objectives of the different actors in a cloud ecosystem.
The document discusses the cloud ecosystem, including concepts of cloud computing, technologies like virtualization and service-oriented architecture, security considerations, challenges around data protection and management capabilities, and benefits such as reduced costs and increased flexibility. Cloud computing provides on-demand access to shared computing resources over a network in various service models like SaaS, PaaS and IaaS. While cloud offers benefits, challenges remain around data security, availability and regulatory compliance.
2011.04.04. Les partenaires IBM et le Cloud Business - Loic SimonClub Alliances
Deck sur les Partenaires IBM et le Cloud Business préparé par Loic Simon à l'occasion de sessions de Formation délivrées aux responsables de la relation partenaires chez IBM.
Understanding Cloud Computing & Its Relevance to Financial Software SolutionsZannettos Zannettou
Understanding Cloud Computing & Its Relevance to Financial Software Solutions is a presentation that discusses cloud computing and its applicability to financial software solutions. It defines cloud computing, outlines the capital intensive IT model versus consumption-based model, and explains how cloud computing addresses issues like unpredictable workload patterns, scaling challenges, and wasted capacity. The presentation also discusses cloud computing options like public, private, hybrid and different service models. It covers how regulators recognize the value of cloud computing and compliance needs. Case studies demonstrate deploying financial software on the cloud for credit risk simulations and provisioning development/test servers rapidly. Finally, it notes even critics of cloud computing have embraced its value over time.
Uni Systems presentation in Cloud Computing Forum 2012 in Athens. Uni Systems presented the complete Uni|Cloud solutions portfolio, supported by Cisco Systems and EMC Corporation.
The document provides an overview of cloud computing. It defines cloud computing as enabling on-demand access to configurable computing resources over the internet. There are five essential cloud characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). There are also four deployment models: private cloud, community cloud, public cloud, and hybrid cloud. The document discusses advantages and challenges of cloud computing as well as trends in data centers and cloud adoption.
The document discusses Microsoft's private cloud computing roadmap. It defines cloud computing and outlines Microsoft's offerings including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It describes the evolution from traditional datacenters to virtualized datacenters to private and public clouds. It highlights key aspects of private clouds like application packaging, monitoring, and automation. It also discusses System Center 2012 and how it can help manage private and public clouds with common tools and deliver applications as a service.
Closing the gap in your cloud ecosystem capgemini mark skilton v1Mark Skilton
The presentation discusses various gaps that exist between the current state of cloud computing technologies and ecosystems and their potential. It identifies gaps in areas such as standards, portability, integration, security and vertical industry adoption. It argues that closing these gaps will require continued evolution of standards to improve semantics, usability, and data portability across heterogeneous cloud solutions and systems.
The document provides an overview of cloud computing, including definitions, models, advantages, disadvantages, characteristics, and applications. It discusses the history of cloud computing concepts dating back to the 1960s. The key models of cloud computing are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The document outlines the advantages of cloud computing like reduced costs, scalability, and accessibility, as well as disadvantages around security, internet dependence, and speed. Common characteristics are pooled computing resources, virtualization, elastic scaling, flexible pricing, and resources delivered as a service. The future of cloud computing is predicted to include increased customization, mission-critical applications in the
Curious about the cloud? We've got answers. Join HOSTING for an overview of cloud hosting and computing basics. From the history of the cloud to the projected future, we'll investigate the foundation of this $2.1 billion industry.
Cw13 cloud computing & big data by ahmed aamerinevitablecloud
The document discusses emerging technologies like cloud computing and big data from a CIO's perspective. It covers topics such as cloud maturity models, challenges of cloud services, and characteristics of big data including the need to capture, correlate, coordinate and corporatize large amounts of data from various sources. The document provides an overview of how new technologies are impacting business and IT experiences.
Although many organizations have adopted the cloud and are reaping the
benefits of a cloud computing platform, there are still concerns with the
handling of sensitive information on a public cloud platform. For such
organizations an alternate option is available, and it means having their own
private cloud.
Systems Advantage Forum : Autonomous DB e DBaaS Riccardo Romani
The document discusses Oracle's strategy for building an "Innovative, Secured, and Unified Data Platform" through a strategic journey involving standardization, consolidation, delivering services as a service, and evolving to autonomous capabilities. The objectives are to simplify IT, make it more efficient, deliver services with self-driving automation, and support agile innovation. This will be achieved through capabilities like database consolidation, security features, high availability, and eventually autonomous databases that are self-securing, self-driving, and self-repairing. Significant benefits for IT operations productivity and infrastructure costs are projected.
This document provides an overview of cloud computing including market drivers, services, architecture, delivery models, deployment models, benefits, and concerns. Key points include:
- Cloud computing is driven by cost savings, scalability, and flexibility benefits over traditional IT. The market is growing rapidly and projected to reach $150 billion by 2013.
- Common cloud services include SaaS, PaaS, and IaaS. SaaS provides applications, PaaS provides development platforms, and IaaS provides infrastructure resources.
- Cloud computing uses a shared pool of configurable computing resources that can be accessed over the internet on-demand in a self-service manner. Resources are metered and elastic.
- Common
Cloud computing provides standardized IT capabilities that are always available and can automatically scale on demand. It offers two main types - public cloud computing which is available to the general public, and private cloud computing which is for exclusive use by a single organization. The key benefits are reduced costs through a pay-per-use model and efficient resource utilization, while the main drawbacks are concerns around security, reliability, and contractual obligations.
Cloud computing delivers computer services such as software, infrastructure, security and platforms as utilities via the internet. Key benefits include lower costs compared to maintaining internal infrastructure, flexibility and scalability. Major types of cloud services include Software as a Service (SaaS), Infrastructure as a Service (IaaS), Security as a Service (SecaaS), and Platform as a Service (PaaS). Emerging specialized cloud services also provide opportunities for on-demand access to communication, storage, backup and file sharing resources.
The document discusses soCloud, a multi-cloud Platform as a Service (PaaS). It presents a case study using Amazon EC2, CloudBees, and Heroku to demonstrate multi-cloud portability, provisioning, elasticity, and high availability. It outlines challenges in these areas and reviews related work. The document proposes soCloud, a PaaS built on top of existing infrastructure and platform providers. soCloud uses service-oriented architecture and extensions to the SCA standard to develop multi-cloud applications in a portable way across providers. Annotations are used to specify deployment details like cloud locations.
Cloud computing provides on-demand, dynamically scalable computing resources and services delivered over the internet. It has elements of grid computing, utility computing, web hosting, software as a service, and other internet-based development approaches. Cloud applications are designed to be horizontally scalable, loosely coupled, resilient, and able to adapt to the underlying cloud infrastructure.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
Cloud computing is a model for delivering IT capabilities as a service over a network. There are different ways to deploy cloud computing including private, public, hybrid, and community clouds. Customers are choosing various cloud models to meet their unique needs and priorities around flexibility, security, and cost. Hybrid cloud delivers benefits beyond only public or private cloud by allowing organizations to maintain control and visibility while reducing costs.
Swiftly increasing demand of computational
calculations in the process of business, transferring of files
under certain protocols and data centers force to develop an
emerging technology cater to the services for computational
need, highly manageable and secure storage. To fulfill these
technological desires cloud computing is the best answer by
introducing various sorts of service platforms in high
computational environment. Cloud computing is the most
recent paradigm promising to turn around the vision of
“computing utilities” into reality. The term “cloud
computing” is relatively new, there is no universal agreement
on this definition. In this paper, we go through with different
area of expertise of research and novelty in cloud computing
domain and its usefulness in the genre of management. Even
though the cloud computing provides many distinguished
features, it still has certain sorts of short comings amidst with
comparatively high cost for both private and public clouds. It
is the way of congregating amasses of information and
resources stored in personal computers and other gadgets
and further putting them on the public cloud for serving
users. Resource management in a cloud environment is a
hard problem, due to the scale of modern data centers, their
interdependencies along with the range of objectives of the
different actors in a cloud ecosystem. Cloud computing is
turning to be one of the most explosively expanding
technologies in the computing industry in this era. It
authorizes the users to transfer their data and computation to
remote location with minimal impact on system performance.
With the evolution of virtualization technology, cloud
computing has been emerged to be distributed systematically
or strategically on full basis. The idea of cloud computing has
not only restored the field of distributed systems but also
fundamentally changed how business utilizes computing
today. Resource management in cloud computing is in fact a
typical problem which is due to the scale of modern data
centers, the variety of resource types and their inter
dependencies, unpredictability of load along with the range of
objectives of the different actors in a cloud ecosystem.
The document discusses the cloud ecosystem, including concepts of cloud computing, technologies like virtualization and service-oriented architecture, security considerations, challenges around data protection and management capabilities, and benefits such as reduced costs and increased flexibility. Cloud computing provides on-demand access to shared computing resources over a network in various service models like SaaS, PaaS and IaaS. While cloud offers benefits, challenges remain around data security, availability and regulatory compliance.
2011.04.04. Les partenaires IBM et le Cloud Business - Loic SimonClub Alliances
Deck sur les Partenaires IBM et le Cloud Business préparé par Loic Simon à l'occasion de sessions de Formation délivrées aux responsables de la relation partenaires chez IBM.
Understanding Cloud Computing & Its Relevance to Financial Software SolutionsZannettos Zannettou
Understanding Cloud Computing & Its Relevance to Financial Software Solutions is a presentation that discusses cloud computing and its applicability to financial software solutions. It defines cloud computing, outlines the capital intensive IT model versus consumption-based model, and explains how cloud computing addresses issues like unpredictable workload patterns, scaling challenges, and wasted capacity. The presentation also discusses cloud computing options like public, private, hybrid and different service models. It covers how regulators recognize the value of cloud computing and compliance needs. Case studies demonstrate deploying financial software on the cloud for credit risk simulations and provisioning development/test servers rapidly. Finally, it notes even critics of cloud computing have embraced its value over time.
Uni Systems presentation in Cloud Computing Forum 2012 in Athens. Uni Systems presented the complete Uni|Cloud solutions portfolio, supported by Cisco Systems and EMC Corporation.
The document provides an overview of cloud computing. It defines cloud computing as enabling on-demand access to configurable computing resources over the internet. There are five essential cloud characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). There are also four deployment models: private cloud, community cloud, public cloud, and hybrid cloud. The document discusses advantages and challenges of cloud computing as well as trends in data centers and cloud adoption.
The document discusses Microsoft's private cloud computing roadmap. It defines cloud computing and outlines Microsoft's offerings including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It describes the evolution from traditional datacenters to virtualized datacenters to private and public clouds. It highlights key aspects of private clouds like application packaging, monitoring, and automation. It also discusses System Center 2012 and how it can help manage private and public clouds with common tools and deliver applications as a service.
Closing the gap in your cloud ecosystem capgemini mark skilton v1Mark Skilton
The presentation discusses various gaps that exist between the current state of cloud computing technologies and ecosystems and their potential. It identifies gaps in areas such as standards, portability, integration, security and vertical industry adoption. It argues that closing these gaps will require continued evolution of standards to improve semantics, usability, and data portability across heterogeneous cloud solutions and systems.
The document provides an overview of cloud computing, including definitions, models, advantages, disadvantages, characteristics, and applications. It discusses the history of cloud computing concepts dating back to the 1960s. The key models of cloud computing are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The document outlines the advantages of cloud computing like reduced costs, scalability, and accessibility, as well as disadvantages around security, internet dependence, and speed. Common characteristics are pooled computing resources, virtualization, elastic scaling, flexible pricing, and resources delivered as a service. The future of cloud computing is predicted to include increased customization, mission-critical applications in the
Curious about the cloud? We've got answers. Join HOSTING for an overview of cloud hosting and computing basics. From the history of the cloud to the projected future, we'll investigate the foundation of this $2.1 billion industry.
Cw13 cloud computing & big data by ahmed aamerinevitablecloud
The document discusses emerging technologies like cloud computing and big data from a CIO's perspective. It covers topics such as cloud maturity models, challenges of cloud services, and characteristics of big data including the need to capture, correlate, coordinate and corporatize large amounts of data from various sources. The document provides an overview of how new technologies are impacting business and IT experiences.
Although many organizations have adopted the cloud and are reaping the
benefits of a cloud computing platform, there are still concerns with the
handling of sensitive information on a public cloud platform. For such
organizations an alternate option is available, and it means having their own
private cloud.
Systems Advantage Forum : Autonomous DB e DBaaS Riccardo Romani
The document discusses Oracle's strategy for building an "Innovative, Secured, and Unified Data Platform" through a strategic journey involving standardization, consolidation, delivering services as a service, and evolving to autonomous capabilities. The objectives are to simplify IT, make it more efficient, deliver services with self-driving automation, and support agile innovation. This will be achieved through capabilities like database consolidation, security features, high availability, and eventually autonomous databases that are self-securing, self-driving, and self-repairing. Significant benefits for IT operations productivity and infrastructure costs are projected.
This document provides an overview of cloud computing including market drivers, services, architecture, delivery models, deployment models, benefits, and concerns. Key points include:
- Cloud computing is driven by cost savings, scalability, and flexibility benefits over traditional IT. The market is growing rapidly and projected to reach $150 billion by 2013.
- Common cloud services include SaaS, PaaS, and IaaS. SaaS provides applications, PaaS provides development platforms, and IaaS provides infrastructure resources.
- Cloud computing uses a shared pool of configurable computing resources that can be accessed over the internet on-demand in a self-service manner. Resources are metered and elastic.
- Common
Cloud computing provides standardized IT capabilities that are always available and can automatically scale on demand. It offers two main types - public cloud computing which is available to the general public, and private cloud computing which is for exclusive use by a single organization. The key benefits are reduced costs through a pay-per-use model and efficient resource utilization, while the main drawbacks are concerns around security, reliability, and contractual obligations.
Cloud computing delivers computer services such as software, infrastructure, security and platforms as utilities via the internet. Key benefits include lower costs compared to maintaining internal infrastructure, flexibility and scalability. Major types of cloud services include Software as a Service (SaaS), Infrastructure as a Service (IaaS), Security as a Service (SecaaS), and Platform as a Service (PaaS). Emerging specialized cloud services also provide opportunities for on-demand access to communication, storage, backup and file sharing resources.
The document discusses soCloud, a multi-cloud Platform as a Service (PaaS). It presents a case study using Amazon EC2, CloudBees, and Heroku to demonstrate multi-cloud portability, provisioning, elasticity, and high availability. It outlines challenges in these areas and reviews related work. The document proposes soCloud, a PaaS built on top of existing infrastructure and platform providers. soCloud uses service-oriented architecture and extensions to the SCA standard to develop multi-cloud applications in a portable way across providers. Annotations are used to specify deployment details like cloud locations.
Cloud computing provides on-demand, dynamically scalable computing resources and services delivered over the internet. It has elements of grid computing, utility computing, web hosting, software as a service, and other internet-based development approaches. Cloud applications are designed to be horizontally scalable, loosely coupled, resilient, and able to adapt to the underlying cloud infrastructure.
La persona anuncia que dejará su empleo actual para abrir una nueva clínica dental con instalaciones modernas y atención personalizada para todas las edades. Ofrece descuentos especiales a amigos que le refieran nuevos clientes y garantiza alta tecnología, comodidad, privacidad y satisfacción certificada por diez años.
Este documento habla sobre la medicina. Explica que la medicina es la ciencia dedicada al estudio de la vida, la salud y las enfermedades del ser humano. También menciona que la práctica de la medicina involucra al médico, al paciente y a la enfermedad, y que combina tanto la ciencia como el arte de aplicar el conocimiento para brindar servicios de salud. Además, señala que otros agentes de salud como enfermeros y farmacéuticos también participan en el proceso.
2895 CCID CViews Autumn Mar May 2016 1-8 LowResSinglesBrent Smith
The document provides information about recent initiatives and surveys conducted by the Cape Town Central City Improvement District (CCID). It includes the following key points:
- Surveys of businesses, residents, and visitors to the Central City reveal increasing interest in public spaces, amenities like cycle lanes and night buses, and a continued perception of safety and cleanliness.
- The CCID's Urban Management team runs a Clean Campaign each year focused on litter removal and illegal dumping to maintain the cleanliness of the area.
- Redevelopments in the Foreshore are increasingly catering to pedestrians with ground-level retail inviting people off the sidewalk and into buildings.
- The CCID continues its work in areas like safety
Flirt, Date, Commit: Injecting Design into an Open Source ProjectJuhan Sonin
The document discusses injecting design into an open source project called LimeSurvey, an open source survey engine. It has over 1 million worldwide users and 218,000 total downloads from its community. The designer discusses taking on the project to address technical issues with the aging prototype and meet more customer demands for the service due to improved design and perceived business impact. The results of the designer's contributions will be determined upon the Beta 2 release and community adoption.
JP Distribution is launching a new initiative to increase market share for ILFORD's wide format inkjet media and studio RIP software in the UK. Their plan includes appointing a network of dedicated "ILFORD PRO CENTRES" dealers, providing sales training and support, offering special pricing, and implementing marketing campaigns. The goal is to rebuild loyalty among customers and dealers who had switched to other brands due to past issues. Key actions involve dealer support, lead generation, events/roadshows, and advertising to promote ILFORD as a quality option.
Este documento proporciona una descripción detallada del Museo Reina Sofía en Madrid. Explica que el museo se encuentra en el edificio Sabatini y contiene colecciones permanentes y temporales de artistas españoles e internacionales como Picasso, Dalí y Miró. También describe las diversas actividades educativas, para niños, jóvenes y escuelas que ofrece el museo para acercar el arte al público. El número de visitantes ha ido aumentando a lo largo de los años, alcanzando casi 2,7 mill
Este documento lista los diferentes billetes y monedas emitidos en pesetas españolas durante las décadas de 1980 y 1990, incluyendo billetes de 10,000, 5,000, 2,000 y 500 pesetas emitidos en la década de 1980, y billetes de 10,000 y 2,000 pesetas emitidos en la década de 1990, así como monedas de 500, 200, 25 y 1 peseta.
Este documento presenta una introducción al seminario de arquitectura de software dictado por Billy Reynoso de la Universidad de Buenos Aires. El seminario consta de 4 webcasts que cubren temas como los estilos de arquitectura, la arquitectura orientada a servicios y el diseño de la arquitectura. Además, el primer webcast introduce conceptos clave de la arquitectura de software como estilos, puntos de vista, requerimientos no funcionales y lenguajes de descripción arquitectónica.
Project Management se refiere a la gestión de proyectos inmobiliarios. El documento describe las tres etapas clave del proceso de inversión inmobiliaria - planificación, ejecución y gestión - y las numerosas actividades involucradas en cada etapa. También explica cómo una empresa especializada como CAdip Dirección de Proyectos puede asistir a los inversores mediante servicios como Project Management y Construction Management para reducir costos y asegurar el cumplimiento de plazos y calidad.
Publicación obtenida de la revista Strategoanibalbasurto
Aníbal Basurto Amparano fundó Empresa Inteligente Asociación con el objetivo de ayudar a mejorar la competitividad de las empresas mexicanas a través de tres entidades: el Instituto Empresa Inteligente para generar conocimiento, el Centro de Desarrollo Tecnológico para desarrollar tecnología, y el Bufete Empresa Inteligente para mejorar habilidades empresariales. Basurto explica que las empresas necesitan una transformación basada en una nueva metodología de trabajo y capacitando a la gente de acuerdo a la
The document is the July 2015 issue of "Leading Business", a monthly magazine published by the Greater Elkhart Chamber of Commerce. It discusses how economic diversification through various business ventures is important for the long-term success of the Pokagon Band of Potawatomi Indians. It also highlights some recent ribbon cuttings and awards given by the Chamber, and encourages taking advantage of Elkhart County's outdoor recreational activities over the summer.
This document provides an introduction to information on estimates of Gross State Product (GSP) for Australia using the production approach (GSP(P)). Key points discussed are:
- The ABS has published annual GSP estimates as part of the Australian National Accounts: State Accounts since 1987 using the income/expenditure approach.
- In recent years there has been increased effort to improve quality and expand information in the State Accounts, including establishing a specialist team focused on State Accounts and a State Accounts User Group for consultation.
- This paper presents results of a project to compile GSP(P) estimates for each state and discuss gross value added by industry, to provide an alternative to the current official GSP estimates
Este documento presenta los objetivos y contenidos de una unidad didáctica sobre publicidad. Los objetivos son conocer la influencia de la publicidad, los elementos del mensaje publicitario, y desarrollar un espíritu crítico. Los contenidos incluyen conceptos como funciones y tipos de publicidad, historia de la publicidad, y análisis crítico de mensajes publicitarios. Los criterios de evaluación miden la capacidad de análisis crítico y creación de mensajes publicitarios.
La crema nocturna de reparación avanzada LUMINESCETM trabaja mientras se duerme para mejorar la salud del ADN de la piel y reparar los daños causados por el envejecimiento mediante ingredientes naturales que ayudan a reparar el ADN a nivel celular. Se basa en la investigación clínica más avanzada para mejorar vías metabólicas específicas relacionadas con el envejecimiento y proporciona una hidratación máxima, restaura la humedad y reduce los signos de envejecimiento
Presentation on Cloud Computing by Vivek Atalkar.pptxVivek Atalkar
Cloud computing refers to the delivery of on-demand computing services over the internet. It allows users to access computing resources such as servers, storage, databases, and software applications on a pay-as-you-go basis, without having to own and maintain their own infrastructure.
The key benefit of cloud computing is flexibility. By leveraging cloud services, businesses can quickly scale up or down their computing resources to meet changing demands. This allows them to avoid the high upfront costs and ongoing maintenance expenses associated with owning and operating their own infrastructure.
Another significant benefit of cloud computing is reliability. Cloud providers typically offer high levels of availability and uptime, with service level agreements (SLAs) guaranteeing a certain level of performance. This can help businesses to avoid costly downtime and data loss.
Cloud computing also offers improved security. Cloud providers invest heavily in security measures and technologies to protect their infrastructure and data. This can provide businesses with a level of security that may be difficult or expensive to achieve on their own.
There are several types of cloud computing services, including:
Infrastructure as a Service (IaaS): This involves the provision of virtualized computing resources such as servers, storage, and networking over the internet.
Platform as a Service (PaaS): This provides a platform for building and deploying applications without having to manage the underlying infrastructure.
Software as a Service (SaaS): This provides software applications over the internet, without the need for users to install and maintain their own software.
There are also several deployment models for cloud computing, including public cloud, private cloud, and hybrid cloud. Public cloud involves using computing resources provided by third-party cloud providers, while private cloud involves using dedicated infrastructure that is managed by the organization. Hybrid cloud involves using a combination of both public and private cloud services.
While cloud computing offers many benefits, there are also potential drawbacks to consider. One concern is the risk of vendor lock-in, where businesses become dependent on a single cloud provider and may have difficulty switching to another provider or bringing their services in-house. Additionally, there are concerns about data privacy and security, particularly when sensitive or regulated data is stored in the cloud.
In conclusion, cloud computing offers businesses significant benefits in terms of flexibility, reliability, and security. By leveraging cloud services, businesses can avoid the high upfront costs and ongoing maintenance expenses associated with owning and operating their own infrastructure. However, it is important to carefully consider the potential drawbacks and risks associated with cloud computing, and to choose a cloud provider and deployment model that best meets the organization
- Cloud computing represents a major shift in enterprise IT that will transform the industry over several years.
- It offers opportunities for new cloud-based application and service companies as well as those providing enabling infrastructure.
- Virtualization technologies have allowed data centers to transition from isolated silos to automated and optimized cloud environments, improving efficiency and agility.
Cloud computing provides computing services over the Internet. It offers lower costs, flexibility, and economies of scale compared to traditional infrastructure. There are several common benefits to cloud computing including reduced costs, increased speed and global scaling, improved productivity, enhanced performance and reliability, and strengthened security. Cloud services can be deployed via public, private, or hybrid clouds. The main types of cloud services are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), serverless computing, and Software as a Service (SaaS).
An educational overview of the Cloud Computing Ecosystem or Framework. This presentation is geared toward those who are just beginning to understand Cloud Computing.
This document summarizes a presentation on whether social housing is ready for cloud computing. The presentation examined the business drivers for cloud computing, discussed defining cloud computing and different cloud models. It also covered mitigating the risks of cloud computing, the top 10 questions to ask a cloud provider, and Viridian Housing Association's experience migrating their systems and infrastructure to the cloud with Exponential-e. The migration has provided Viridian with an enterprise-class IT environment, the ability to scale resources, and true 24/7 support at a total cost of ownership that is equal to their prior on-premise model after 3 years and cheaper beyond.
The document provides an introduction to cloud computing, including definitions and concepts. It discusses the evolution of cloud computing from earlier technologies like grid computing and utility computing. It also outlines some key characteristics of cloud computing models including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Additionally, it covers basic cloud architecture, characteristics, purposes and benefits, as well as opportunities and challenges of cloud computing.
Introduction To Cloud Computing By Beant Singh DuggalBeantsingh
The document provides an overview of cloud computing, including definitions of related terms like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It discusses the history and evolution of cloud computing from concepts like grid computing and utility computing. Key characteristics of cloud computing include agility, scalability, reliability, and multi-tenancy. The document also outlines public, private and hybrid cloud models and how cloud computing relates to concepts like service-oriented architecture.
This document provides an overview of cloud computing, including definitions of key cloud computing terms and models. It discusses the evolution of cloud computing from earlier technologies like grid computing and utility computing. The document also compares and contrasts clouds and grids. It examines public, private and hybrid cloud models and how virtualization enables cloud infrastructure. Finally, it outlines some open issues regarding security, reliability and vendor lock-in within cloud computing.
Cloud manufacturing is a customer-centric manufacturing model that exploits on-demand access to a shared collection of diversified and distributed resources. These resources (hardware, software, and knowledge) form temporary and reconfigurable production lines so that we can improve resource usage efficiency and reduce product lifecycle cost. Cloud manufacturing (CM) is an open and service-oriented platform that virtualizes distributed design, manufacturing, and assembling resources together in order to provide a seamless, stable, and high quality transaction of manufacturing procedures. With the fast development of cloud computing, its potential application to other fields has attracted a lot of research efforts.
This document provides an overview of cloud computing, including its key characteristics, service models, deployment models, examples, advantages and limitations. Specifically, it defines cloud computing as the delivery of computing resources such as servers, storage, databases and software over the internet. It describes the main service models of software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It also outlines the deployment models of public, private and hybrid clouds and discusses some advantages like scalability, cost savings and disadvantages like security issues and dependence on internet connectivity.
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.
This document provides an overview of cloud computing. It defines cloud computing, describes its key characteristics including on-demand self-service, broad network access, resource pooling, and rapid elasticity. It also discusses cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Additionally, it covers cloud architecture, security concerns in cloud computing, and the future of Network as a Service (NaaS).
Emerging Technology in the Cloud! Real Life Examples. Pol Mac Aonghusacatherinewall
Set up in March 2008, the Dublin Cloud Center was created by IBM Software Group to provide a real-life laboratory for IBM Cloud Computing. Since then the Dublin Center has engaged around the world in delivery, development and research on the Cloud. A broad range of IBM, Client & Research projects provide a real-life insight into IBM 'Smart Infrastructure' in action.
Pol will provide a range of experiences and insights into Cloud Computing – from a practitioner's perspective. In this respect, Pol brings a unique, 'hands-on' perspective to IBM Cloud Computing capability and how it is being used in 'the wild'. This workshop is an opportunity for discussion and debate at a deep, paractical & technical level that will compliment the other workshops. The intention of the workshop is to illustrate IBM Cloud Computing in action!
In addition, Pol will also discuss emerging technologies using the Cloud platform and architecture in research and development projects in the Dublin Center. An interesting range of projects from High-performance, Pervasive & Mobile Computing coupled with research into topics such as active energy & green computing in the Cloud will provide insights into some of the next generation of solutions to use Cloud Computing.
Cloud infrastructure serves as the foundation for modern computing, offering a dynamic and scalable framework for businesses to deploy applications and services. From virtual machines to storage solutions and networking technologies, cloud infrastructure encompasses a diverse array of components essential for building resilient and agile Cloud Computing platforms. Explore the intricacies of cloud infrastructure to unlock its potential for driving innovation, enhancing efficiency, and ensuring the seamless delivery of cloud computing services.
Website - https://techtweekinfotech.com/cloud-infrastructure-maximizing-performance-security-and-scalability/
Cloud Computing Security Issues in Infrastructure as a Service” reportVivek Maurya
This document provides an introduction to cloud computing security issues in infrastructure as a service (IaaS). It discusses how cloud computing works and the service models of software as a service, platform as a service, and IaaS. IaaS provides processing power, data storage, and other shared resources on a pay-as-you-go basis. The document focuses on security issues related to the IaaS model, examining security for service level agreements, utility computing, platform virtualization, networks and connectivity, and computer hardware. It also discusses how security issues with cloud software can impact IaaS and cloud computing overall.
This document discusses cloud deployment plans. It begins with an introduction to cloud computing, defining it as scalable IT capabilities provided over the internet. It then discusses the benefits of cloud computing such as reduced costs and increased flexibility. The document outlines the history and origins of cloud computing. It describes the essential characteristics of cloud computing such as on-demand access, resource pooling, and elasticity. It defines the three main cloud service models of SaaS, PaaS, and IaaS and compares their characteristics. Finally, it discusses the different types of cloud implementation including public, private, community, and hybrid clouds.
A revolution in information technology cloud computing.Minor33
This document discusses cloud computing and its key aspects. It begins by defining cloud computing as a collection of interconnected networks represented as a cloud in diagrams. The cloud allows users to access applications and store data remotely through an internet connection. There are three main types of cloud models - public, private, and hybrid clouds which combine public and private. The cloud provides major advantages like reduced costs, flexibility, and scalability. It discusses the various cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document outlines the key characteristics of clouds such as elasticity, self-service provisioning, application programming interfaces, and billing/metering
Cloud computing refers to applications and services delivered over the Internet. It provides on-demand access to shared computing resources like servers, storage, databases and software that can be provisioned with minimal management effort. Major cloud service models include SaaS, PaaS and IaaS. The cloud computing market is growing rapidly with major players like Amazon, Microsoft and Google dominating different segments. Emerging services like STaaS, Daas and Caas are facilitating wider cloud adoption.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.
1. A Technical Overview of Cloud Computing
Pethuru Raj PhD
Infrastructure Architect
IBM Global Cloud Center of Excellence (CoE)
IBM India, Bangalore
Email: peterindia@gmail.com
2. A Captivating Cloud Case
Problem
• Make all NewYork Times archived articles from 1851 to 1922
available free of charge over the internet.That means, 11 Million
articles as images to be scanned and converted to PDF format
• IT Requirements – 100 servers & 5.5TB storage
Cloud Solution
• Use cloud infrastructures for reading and converting the article
images to PDF
• Upload data and ranTIFFPDF conversion routine
• All 11 million articles processed in < 24 hours
• Use 100 Cloud instances
• The total cost is ~$240
4. Defining the Cloud in a Capsule Form
On the Infrastructural perspective, a cloud is a dynamic pool of
consolidated, centralised, increasingly federated, virtualised or non-
virtualized, automated, and shared IT infrastructures (Compute,
storage and network components)
Automation is at multiple levels (resource provisioning, service
management, job scheduling, load-balancing, security, governance, etc.)
“Cloud – IT Infrastructures Optimized”
5. The Cloud Evolution
Web Sites in the Web (Web 1.0) (Read Only)
Search Engines in the Web (Search only)
Social Sites in the Web (Web 2.0) (Read andWrite Only)
Enterprise-scale Web Applications in the Web (E-commerce Applications
such as Amazon.com, Flipkart.com, etc., E-auction applications such as e-
bay, etc. E-mail applications (Gmail,Yahoo, etc.), Online Banking, …)
COTS & Home-Grown, Bespoke Business Applications in theWeb
◦ These applications are not given freely as above. Therefore the cost model is to go for
subscription and consumption-based charge. That means, any application needs to be firstly
refactored and refined to be given as a multitenant, online, off-premise, secure, multi-device,
ubiquitous, intuitive, elastic, & QoS-compliant service.
6. The Cloud Services
Software as a Service - All kinds of software solutions are being provided as service from Clouds
over the Internet to worldwide users.
For example, business software as a service from Clouds (Salesforce.com, Ramco, NetSuite, Oracle,
SAP, etc.)
Platform Software as a Service (Design, Development, Deployment, Delivery, Integration,
Management, Orchestration,, etc.) .
For example, application development, testing, delivery, and management are happening in clouds.
Infrastructure as a Service (Compute, Storage, Memory, and Networking). Clouds are the highly
optimized, service-oriented, on-demand, elastic, and web-scale IT infrastructure
Federation as a Service - With cloud brokers, geographically distributed and disparate clouds are
being orchestrated to craft and deliver business-aware and people-centric services in time.This will lead
to the Intercloud.
8. The IT Constraints
The IT Infrastructure Utilization
The Alignment between Business and IT
The IT Agility, and Autonomy & Affordability
The Quality Attributes (Scalability, Performance,Availability,
Flexibility, Consumability, etc.) of IT Infrastructures
The IT Complexity (due to the growing multiplicity and
heterogeneity of technologies, programming languages,
protocols, data formats, etc.)
9. 9
For Consolidated,Virtualized,Adaptive, & Shared Infrastructures
85% idleIn distributed computing environments,
up to 85% of computing capacity sits
idle.
Explosion of information driving
54% growth in storage shipments
every year.
1.5x
70¢ per $1
70% on average is spent on
maintaining current IT infrastructures
versus adding new capabilities.
The Concerns & Challenges of Enterprise IT
11. The Business IT Goals
More with Less – Less Wastage, Slippage and Pilferage
Adaptive & Instant-On Enterprise IT
On-Demand, Converged, Real-time & Dynamic IT Infrastructures
Affordable Yet High-Performance Computing
Green, Lean, and Elastic IT
Distributed Deployment & Centralised IT Monitoring and Management
Transitioning to Virtual IT
12. The Way Forward
Transitioning to Next-Generation IT Infrastructures that are
Cloud-ready
Software-defined
Policy-based & Orchestration-enabled
Programmable, Secure & Sharable
Accessible & Autonomic
Federated yet Converged
Distributed Deployment yet Centrally Managed
Through a host of rationalization, simplification, automation, and optimization
techniques
13. Why the Cloud Paradigm is very Popular?
Cloud is a grant conglomeration and convergence of proven, mission-
critical and enterprise-scale technologies
Path-breaking Impacts on Business & IT
IT as a Service
Generic & Green Technology
Breeds Innovations on the Business front
IT Optimization to be Lean
IT and Business Agility
Shared and Service Era
Quality of Service (QoS) Attributes
14. “Smartly leveraging a dynamic pool of commodity servers to perform and
provide the varying computing needs of a multitude of distributed
organizations and users as a service over the open and public Internet”
Cloud is just an advanced, optimized, and programmable IT environment
providing the illusion of infinite compute and storage power.
Applications, platforms and infrastructures become publicly available,
discoverable, interoperable, reusable, & composable network services
Defining Cloud Computing
15. Mainframe -> Personal -> Client / Server -> Cloud -> Intercloud
(Centralization to Distribution to Centralization to Federation)
The Journey towards the Cloud Era
16. The Prominent CloudTypes
Public Cloud or External Cloud* - Resources are
dynamically provisioned on a fine-grained, self-
service basis over the Internet
Hybrid Cloud – A combination of Public and Private cloud
Private Cloud, Internal Cloud, Enterprise Cloud – Emulation
of the Public Cloud on a private network
17. The Cloud Delivery Models
With the technology-enabled convergence of all kinds of cyber and physical systems is
maturing and stabilizing, the vision of “anything as a service (AaaS)” (Both IT as well as
physical services) is to see the light soon. Cloud is the most crucial and core
Infrastructure Component in that vision.
19. The Implications of Cloud Computing
Business Cases – Newer Deployment, Delivery, Consumption, Management,
Monitoring, Subscription & Pricing Models
Technical Cases – The materialization of Consolidated, Centralized, Converged,
Federated,Virtualized, Automated and Shared IT Infrastructures
Use Cases – Self-Servicing, Simplicity, Consumability, Ubiquity, Utility, etc.
19
22. The Cloud Realization Technologies
◦ Consolidation, Centralization & Federation, Convergence &Virtualization
◦ Service oriented Architecture (SOA) & Software as a Service (SaaS)
◦ Cluster,Autonomic, On-demand, Grid and Utility Computing
◦ Ultra-high Bandwidth Ambient Communication
◦ Rationalization, Optimization, & Simplification
◦ Multi-tenancy and Sharing
◦ Automation (Resource provisioning & Management,Workload Management
& Job Scheduling, Load Balancing, Integration, Self-Servicing, etc.)
23. Virtualization
Replicating the proven “Separation of Concerns” and “Divide & Conquer”
Techniques in Software Engineering for Hardware Engineering is the essence of
virtualization.
Virtualization facilitates programming and managing hardware rationally
Virtualization is the core technique for creating a dynamic pool ofVirtual Machines
(VMs) by decomposing Physical machines
On the reverse side, composing thoseVMs on need basis systematically to do better
and bigger things
Hypervisors (VMMs) is the tool for provisioning, de-provisioning & monitoring VMs
VMs are easily configurable, replaceable, scalable, migratable, etc.
VMs are the new commodity servers and all the relevant intelligence gets
transferred to hypervisors, the operating system of operating systems.
The snapshot of eachVM is persisted in a storage
30. The Spread ofVirtualization
Through a layer of abstraction, virtualization lays a stimulating foundation for
decimating all kinds of dependencies.That is, the tight coupling between software
and hardware gets eliminated to ensure true portability. Any software runs on any
hardware.
A typicalVM comprises vCPU, Memory, Storage, vSwitch, etc.
Virtualization penetrates into every resource
◦ ServerVirtualization
◦ StorageVirtualization
◦ NetworkVirtualization
◦ ApplicationVirtualization
◦ DataVirtualization
◦ ServiceVirtualization
◦ DesktopVirtualization
31. Flexible Deployment
Rapid Deployment
Server Consolidation
Business Flexibility
Energy Efficiency
High Availability
Management Automation
Enhanced QoS
The Benefits ofVirtualization
32. Virtual Machine
Virtual Machine Hardware
hardware
3D
1 IDE
controller
4 devices
up to 3
parallel
ports
up to 4
serial/com ports
HD audio
1 USB
controller
20 Devices
1 floppy controller
2 Devices
1-10
NICs
15 devices
per adapter
up to
1TB of RAM
up to 4 SCSI
adapters
up to
64 vCPUs
33. Why UseVirtual Machines?
Easy to relocate:
◦ Encapsulated into files
◦ Independent of physical
hardware
Easy to manage:
◦ Isolated from other virtual
machines
◦ Insulated from hardware changes
Provides the ability to support legacy
applications
Allows servers to be consolidated
Virtual machinePhysical machine
Difficult to relocate:
Moves require downtime
Specific to physical Hardware
Difficult to manage:
Requires physical maintenance
Hardware failures cause downtime
Hardware has limitations:
Hardware changes limit application
support
Servers are physically individual
34. The Power of Service Orientation (SO)
Expressing and Exposing Everything as a Service
Not only software applications but also hardware and network modules
are being presented as services
Services are having the following distinctions
publicly discoverable,
network accessible, easily consumable,
Highly reusable, and composable,
Semantically and syntactically Interoperable, replaceable,
sustainable, serviceable, etc.
38. Why Cloud Federation?
Cloud service providers collaborate dynamically to share their virtual
infrastructure for crafting the Intercloud.
Load
Balancing
Prevention from
Vendor
Lock-ins
Prevention from
Power Outages &
Failures
Capacity
Management
Efficient use of
Surplus Resources
Scaling Data to
other CSPs
38
46. Envisaging the Cloud Applications
Clouds will be the core, converged, and cognitive IT Infrastructure
behind the vision of Smarter Planet Platforms,Applications and
Services
1. Cloud-enabled Applications – Analyzed for the cloud fitment,
modernized, migrated, and delivered from Clouds
2. Cloud-native Applications – designed on the three basic tenets
(Resiliency, Economics, and Security) deployed, tuned, delivered
and managed
47. The Design Considerations of Cloud Native Applications
Services
• All functionality is published and consumed via web
services
Handling
Failures
• Every Integration point will eventually fail one time or
another
• Be prepared to handle all kind of failures
Horizontal
Scalability
• Design for Scale Out
Asynchronous
Processing
• Break down the task, process requests asynchronously
• Use queues to decouple functionality
• Eventual consistency model
Stateless Model
• Build stateless services that can be scaled out and load
balanced
Minimize
Human
Intervention
• Go DevOps/NoOps
48. The Steps towards Cloud-Enabled Applications
First do the tool-based fitment analysis on all the applications to be
moved to cloud environments.This includes the check of compatible
environments in the cloud to host, configure, manage and deliver
those applications
To understand the dependencies (application, data, etc.)
To do a deeper analysis of the business, technical and use cases of
moving applications to clouds
The barriers such as the controllability, security, availability,
performance, scalability, etc. need to be taken into consideration
before the migration
To check whether appropriate cloud integrators, brokers and
orchestrators are made available in order to ensure seamless and
spontaneous access, leverage and compose them together
49. Cloud Application Domains
The general trend is that all kinds of ICT applications are accordingly modified, modernized to
be multi-tenant,migrated to cloud servers and delivered to worldwide users concurrently via
the open web.That is, software as a service (SaaS) is the progressive paradigm and “everything as
a service” is the ultimate vision with the maturity and stability of the emerging and evolving
cloud concepts. Primarily
Social Networking (Web 2.0) Sites
E-Business,E-Commerce, & Mobile Applications
Enterprise Information Systems (EISs) such as ERP, CRM, KM, CM, SCM, etc.
Images &Video Processing, Storage,Analysis, Management and Surveillance
Big Data capture, storage, mining, processing, and analyses for descriptive, predictive and
prescriptive analytics towards real-time business intelligence (BI)
The Internet of Things (IoT) / Machine-to-Machine (M2M) Integration / Cyber Physical Systems
(CPS) / Smarter EnvironmentsApplications and Services
Different kinds of Platforms and Databases are being primed for Clouds
59. The Sensor Cloud
An infrastructure that allows truly pervasive computation using sensors as interface
between physical and cyber worlds, the data-compute clusters as the cyber
backbone and the Internet as the communication medium.
It integrates large-scale sensor networks with sensing applications (Smarter Homes,
Hospitals, Hotels, Cities, etc.) and cloud computing infrastructures.
It collects and processes data from various sensor networks.
Enables large-scale data sharing and collaborations among users and applications on
the cloud.
Delivers cloud services via sensor-rich mobile devices.
Allows cross-disciplinary applications that span organizational boundaries.
63. Sensor-to-Cloud Integration
Acquisition of data feeds from numerous body area (blood sugar,
heat, perspiration, etc.) and wide area (water quality, weather
monitoring, etc.) sensor networks in real time.
Real-time processing of heterogeneous data sources in order to
make critical decisions.
Automatic formation of workflows and invocation of services on
the cloud one after another to carry out complex tasks.
Highly swift data processing using the immense processing power of
the cloud to provide quick response to the user.
64. The Government Cloud
Governments are mandated to vigorously and rigorously pursue
incorporating smartness in their service conceptualization, concretization and
delivery aspects to that they can empower their constituents and citizens
with a bevy of next-generation personal, social, professional services in a
time-bound, responsible, transparent, and proactive manner.
The need therefore is to establish and sustain service-oriented clouds.
Service Delivery Platform (SDP) is a major ingredient in fulfilling the above-
mentioned goals in an automated way.
As citizen-centric services are undergoing a variety of changes and challenges,
an unified and standards-compliant platform is the most sought-after for
governments to strengthen the service delivery mechanism.
73. The Cloud – Research Challenges
Performability Analysis for Infrastructure Cloud (Stochastic Models Approach)
Dynamic Capacity Planning for Infrastructure Cloud
Replication Scheme for Cloud Storage
Secure and Trustworthy Clouds
Performance Interference Effects for QoS-Aware Clouds
Scalability, consistency & economical processing of large scale data on the cloud
High Performance Scientific Applications in Cloud
Automatic IO Filtering for Optimizing Cloud Analytics
Scheduling Cloud Capacity for Time-Varying Customer Demand
Shared Resource Monitoring and Throughput Optimization in Clouds
Integrating Graph Partitioning into large graph processing in the cloud
Exploiting Performance Heterogeneity in Public Clouds
Dynamically Scaling Applications in the Cloud
Performance Estimation and Enhancement – Measurement-based Approach
74. The Cloud – Research Challenges
Managing Parallelism for Stream Processing in the Cloud
Profit-Based Experimental Analysis of IaaS Cloud Performance
Clustering Techniques for High Availability
Green Techniques for energy-aware Clouds
Indexing Multi-dimensional Data in a Cloud System
Adaptive Provisioning of Stream Processing Systems in the Cloud
Cloud Micro-Elasticity via VM State Coloring
Variations in Performance and Scalability when Migrating n-Tier Applications to
Different Clouds
Self-adaptive Cloud Capacity Planning
Automated Provisioning and De-Provisioning Techniques
Data integrity in the cloud - the Correctness of Cloud-based Data