This presentation will discuss cloud computing from the evolution of service orientation point of view. It will discuss cloud computing models, the prior-arts, and the evolution path in federal government from Federal Enterprise Architecture, Service Oriented Architecture (SOA), and Service Oriented Infrastructure (SOI) or Federal Infrastructure Optimization Initiative, to Cloud Computing. It will also discuss the current trend of the new generation IT operating model, as well as the related business impact. While cloud computing is contributing to the enterprise evolution towards service orientation and shared services, appropriate business management and operation mechanisms must be in place in order to practice successfully, e.g. suitable business models, service models, service structure, funding models, operation models, operation structure, as well as lifecycle and governance. This presentation intends to provide a holistic view for the cloud computing evolution and shared service adoption in Federal Government.
Cluster computing involves linking together independent computers as a single system for high availability and high performance computing. A cluster contains multiple commodity computers connected by a high-speed network. There are different types of clusters like high availability clusters that provide uninterrupted services if a node fails, and load balancing clusters that distribute requests across nodes. Key components of clusters are nodes, networks, and software. Clusters provide benefits like availability, performance, and scalability for applications. However, limitations include high latency and lack of software to treat a cluster as a single system.
Cluster computing involves linking multiple computers together to act as a single system. There are three main types of computer clusters: high availability clusters which maintain redundant backup nodes for reliability, load balancing clusters which distribute workloads efficiently across nodes, and high-performance clusters which exploit parallel processing across nodes. Clusters offer benefits like increased processing power, cost efficiency, expandability, and high availability.
This document discusses computer clusters and their architecture. A cluster consists of loosely connected computers that can be viewed as a single system. It includes nodes, a network, an operating system, and cluster middleware to allow programs to run across nodes. Clusters provide benefits like data sharing, parallel processing, and task scheduling. The architecture includes a master node that manages the cluster and computing nodes that process tasks. Beowulf clusters specifically use many connected commodity computers as nodes. The document outlines some example applications and operating systems used in clusters.
This document provides an overview of cluster computing. It defines a cluster as a group of loosely coupled computers that work together closely to function as a single computer. Clusters improve speed and reliability over a single computer and are more cost-effective. Each node has its own operating system, memory, and sometimes file system. Programs use message passing to transfer data and execution between nodes. Clusters can provide low-cost parallel processing for applications that can be distributed. The document discusses cluster architecture, components, applications, and compares clusters to grids and cloud computing.
The document defines a distributed system and provides examples. It outlines the challenges in designing distributed systems, including heterogeneity, openness, security, scalability, failure handling, concurrency, and transparency. Distributed systems divide tasks across networked computers and aim to appear as a single computer to users.
Trends in distributed systems include the emergence of pervasive technology, ubiquitous and mobile computing, increasing demand for multimedia, and viewing distributed systems as a utility. These trends have led to modern networks consisting of interconnected wired and wireless devices that can connect from any location. Mobile and ubiquitous computing allow small portable devices to connect to distributed systems from different places. Distributed multimedia systems enable accessing content like live broadcasts from desktops and mobile devices. Distributed systems are also seen as a utility with physical and logical resources rented rather than owned, such as with cloud computing which provides internet-based applications and services on demand.
The document discusses cloud computing, providing an overview of what it is, its history and evolution, characteristics, components, infrastructure models, commercial offerings, advantages, and disadvantages. Specifically, cloud computing is defined as a new class of network-based computing that takes place over the Internet, allowing users to access hardware and software services remotely via the web. The cloud's flexibility, scalability, and cost benefits are highlighted, though concerns around internet dependency, limited features, and data security are also summarized.
Cluster computing involves linking together independent computers as a single system for high availability and high performance computing. A cluster contains multiple commodity computers connected by a high-speed network. There are different types of clusters like high availability clusters that provide uninterrupted services if a node fails, and load balancing clusters that distribute requests across nodes. Key components of clusters are nodes, networks, and software. Clusters provide benefits like availability, performance, and scalability for applications. However, limitations include high latency and lack of software to treat a cluster as a single system.
Cluster computing involves linking multiple computers together to act as a single system. There are three main types of computer clusters: high availability clusters which maintain redundant backup nodes for reliability, load balancing clusters which distribute workloads efficiently across nodes, and high-performance clusters which exploit parallel processing across nodes. Clusters offer benefits like increased processing power, cost efficiency, expandability, and high availability.
This document discusses computer clusters and their architecture. A cluster consists of loosely connected computers that can be viewed as a single system. It includes nodes, a network, an operating system, and cluster middleware to allow programs to run across nodes. Clusters provide benefits like data sharing, parallel processing, and task scheduling. The architecture includes a master node that manages the cluster and computing nodes that process tasks. Beowulf clusters specifically use many connected commodity computers as nodes. The document outlines some example applications and operating systems used in clusters.
This document provides an overview of cluster computing. It defines a cluster as a group of loosely coupled computers that work together closely to function as a single computer. Clusters improve speed and reliability over a single computer and are more cost-effective. Each node has its own operating system, memory, and sometimes file system. Programs use message passing to transfer data and execution between nodes. Clusters can provide low-cost parallel processing for applications that can be distributed. The document discusses cluster architecture, components, applications, and compares clusters to grids and cloud computing.
The document defines a distributed system and provides examples. It outlines the challenges in designing distributed systems, including heterogeneity, openness, security, scalability, failure handling, concurrency, and transparency. Distributed systems divide tasks across networked computers and aim to appear as a single computer to users.
Trends in distributed systems include the emergence of pervasive technology, ubiquitous and mobile computing, increasing demand for multimedia, and viewing distributed systems as a utility. These trends have led to modern networks consisting of interconnected wired and wireless devices that can connect from any location. Mobile and ubiquitous computing allow small portable devices to connect to distributed systems from different places. Distributed multimedia systems enable accessing content like live broadcasts from desktops and mobile devices. Distributed systems are also seen as a utility with physical and logical resources rented rather than owned, such as with cloud computing which provides internet-based applications and services on demand.
The document discusses cloud computing, providing an overview of what it is, its history and evolution, characteristics, components, infrastructure models, commercial offerings, advantages, and disadvantages. Specifically, cloud computing is defined as a new class of network-based computing that takes place over the Internet, allowing users to access hardware and software services remotely via the web. The cloud's flexibility, scalability, and cost benefits are highlighted, though concerns around internet dependency, limited features, and data security are also summarized.
This document discusses service-oriented architecture (SOA). It defines SOA as an architecture based on reusable services that are loosely coupled and provide platform, technology, and language independence. The document outlines SOA principles like standardized service contracts, loose coupling, abstraction, and others. It also discusses SOA implementation steps, the value of SOA for businesses and technologies, and when SOA may not be recommended.
This document discusses current security issues for cloud computing. It begins by defining cloud computing and describing its key characteristics and delivery models. It then outlines the main security problems which stem from loss of control, lack of trust, and multi-tenancy in cloud environments. Specifically, it examines issues relating to network security, data security, virtualization, interfaces, and governance in cloud computing. It concludes that while cloud computing provides scalable resources, it also introduces both traditional and new security threats for users.
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
The document provides an overview of cloud computing, including its definition, history, advantages, disadvantages and components. Cloud computing is defined as internet-based computing where shared resources, software and information are provided on demand. The history of cloud computing is traced from the 1990s to present day. Key advantages include flexibility, low costs, scalability and device diversity. Disadvantages include dependency on providers, security risks and needing a constant internet connection. The document also outlines the architecture, types (public, private, hybrid clouds) and components of cloud computing.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
Cloud Computing Principles and Paradigms: 9 aneka-integration of private and ...Majid Hajibaba
The document discusses Aneka, a platform that allows for the integration of private and public clouds. It presents an overview of Aneka's architecture, which enables resource provisioning across different cloud infrastructures. Aneka supports the creation of hybrid clouds through its ability to dynamically incorporate additional cloud service providers and rapidly integrate new features. The talk concludes by examining open issues for further research in hybrid cloud environments, such as pricing models, security standardization, and management policies for heterogeneous systems.
This document discusses process migration and allocation in distributed systems. It covers:
1) Process allocation is easier in multiprocessor systems where all processors share memory and resources, compared to multicomputer systems without shared memory.
2) Processes can either be non-migratory and run on one system, or migratory and move between systems to improve resource utilization. Ensuring transparency is important for migratory processes.
3) Different strategies for process migration include moving state, keeping state on the original system and using RPC, or ignoring state. Centralized, hierarchical, and distributed algorithms can be used to determine optimal or suboptimal migration.
This Presentation provides a detailed insight about Collaborating Using Cloud Services Email Communication over the Cloud - CRM Management – Project Management-Event
Management - Task Management – Calendar - Schedules - Word Processing –
Presentation – Spreadsheet - Databases – Desktop - Social Networks and Groupware.
Privacy Issues in the Cloud
Presentation to the Chief Privacy Officers Council of Canada, May 4, 2010
Ponemon Institute paper at:
http://tinyurl.com/3a3pqgl
The document discusses ad-hoc networks and their key characteristics. It describes several challenges in ad-hoc networks including limited battery power, dynamic network topology, and scalability issues. It also summarizes several ad-hoc network routing protocols (e.g. DSDV, AODV, DSR), addressing both table-driven and on-demand approaches. Additionally, it outlines some ad-hoc MAC protocols like MACA and PAMAS that aim to manage shared wireless medium access.
Motivation
Types of Distributed Operating Systems
Network Structure
Network Topology
Communication Structure
Communication Protocols
Robustness
Design Issues
An Example: Networking
Fault tolerance is important for distributed systems to continue functioning in the event of partial failures. There are several phases to achieving fault tolerance: fault detection, diagnosis, evidence generation, assessment, and recovery. Common techniques include replication, where multiple copies of data are stored at different sites to increase availability if one site fails, and check pointing, where a system's state is periodically saved to stable storage so the system can be restored to a previous consistent state if a failure occurs. Both techniques have limitations around managing consistency with replication and overhead from checkpointing communications and storage requirements.
Middleware and Middleware in distributed applicationRishikese MR
The seminar discuss about the common middleware concept and middleware in distributed applications .Also we discuss about 4 different types of middleware. MOM( Message oriented Middleware), ORB (object request broker), TP Monitors, Request procedure calls RPC.
The slide also gives the advantages and disadvantages of each.
Cloud computing Definition, Types of cloud, Cloud services: Benefits and challenges of cloud computing, Evolution of Cloud Computing, Applications cloud computing, Business models around Cloud, Major Players in Cloud Computing, Issues in Cloud - Eucalyptus - Nimbus - Open Nebula, CloudSim.
The document discusses different models for distributed systems including physical, architectural and fundamental models. It describes the physical model which captures the hardware composition and different generations of distributed systems. The architectural model specifies the components and relationships in a system. Key architectural elements discussed include communicating entities like processes and objects, communication paradigms like remote invocation and indirect communication, roles and responsibilities of entities, and their physical placement. Common architectures like client-server, layered and tiered are also summarized.
Cloud computing is the on-demand delivery of IT resources and applications via the Internet with pay-as-you-go pricing. It evolved from earlier technologies like grid computing and utility computing by providing greater ease of use and on-demand scaling. A cloud broker acts as an intermediary between cloud service providers and customers, providing a unified interface and moving workloads between public and private clouds for improved performance and redundancy.
The document discusses how a Service Oriented Infrastructure (SOI) model can be combined with cloud computing. SOI defines infrastructure services and how they relate to business services, while cloud computing provides scalable, on-demand access to resources over the internet. Integrating SOI and cloud computing allows infrastructure to dynamically scale based on demand, with consumers only paying for resources as needed. This combined model provides transparency, governance, and cost control for cloud services.
For the past few years, the evolution of cloud computing has been potentially becoming one of the major advances in the history of computing. But is cloud computing the saviour of business? Does it signal the demise of the corporate IT functionality entirely? However, if cloud computing has to achieve its potential, there is a need to have a clear understanding of various issues involved, both from the perspectives of the providers and the consumers related to the technology, management and business aspects. Objective of this research is to explore the strategic business, management and technical challenges existing in cloud
systems. It is believed that adopting a methodology and suggesting a corresponding architectural framework would serve as a potential comprehensive conceptual tool, which shows path for mitigating challenges and hence effort are put in bringing in by mentioning a suitable methodology and its brief description. It concludes that International Business Machine Common Cloud Management Platform is one
way to realize the combined features of various models such as Hub & Spoke Model as a quality of Governance model; Gen-Spec Research Methodology design for semantic and quality research studies into one in the form of Reference Architecture. However in order to realize the full potential of the Customer- Respond-Adapt-Sense-Provider (conceptual) methodology for dealing with semantics, it is important to
consider Internet of Things Architecture Reference Model where in the resources are translated into Services.
This document discusses service-oriented architecture (SOA). It defines SOA as an architecture based on reusable services that are loosely coupled and provide platform, technology, and language independence. The document outlines SOA principles like standardized service contracts, loose coupling, abstraction, and others. It also discusses SOA implementation steps, the value of SOA for businesses and technologies, and when SOA may not be recommended.
This document discusses current security issues for cloud computing. It begins by defining cloud computing and describing its key characteristics and delivery models. It then outlines the main security problems which stem from loss of control, lack of trust, and multi-tenancy in cloud environments. Specifically, it examines issues relating to network security, data security, virtualization, interfaces, and governance in cloud computing. It concludes that while cloud computing provides scalable resources, it also introduces both traditional and new security threats for users.
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
The document provides an overview of cloud computing, including its definition, history, advantages, disadvantages and components. Cloud computing is defined as internet-based computing where shared resources, software and information are provided on demand. The history of cloud computing is traced from the 1990s to present day. Key advantages include flexibility, low costs, scalability and device diversity. Disadvantages include dependency on providers, security risks and needing a constant internet connection. The document also outlines the architecture, types (public, private, hybrid clouds) and components of cloud computing.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
Cloud Computing Principles and Paradigms: 9 aneka-integration of private and ...Majid Hajibaba
The document discusses Aneka, a platform that allows for the integration of private and public clouds. It presents an overview of Aneka's architecture, which enables resource provisioning across different cloud infrastructures. Aneka supports the creation of hybrid clouds through its ability to dynamically incorporate additional cloud service providers and rapidly integrate new features. The talk concludes by examining open issues for further research in hybrid cloud environments, such as pricing models, security standardization, and management policies for heterogeneous systems.
This document discusses process migration and allocation in distributed systems. It covers:
1) Process allocation is easier in multiprocessor systems where all processors share memory and resources, compared to multicomputer systems without shared memory.
2) Processes can either be non-migratory and run on one system, or migratory and move between systems to improve resource utilization. Ensuring transparency is important for migratory processes.
3) Different strategies for process migration include moving state, keeping state on the original system and using RPC, or ignoring state. Centralized, hierarchical, and distributed algorithms can be used to determine optimal or suboptimal migration.
This Presentation provides a detailed insight about Collaborating Using Cloud Services Email Communication over the Cloud - CRM Management – Project Management-Event
Management - Task Management – Calendar - Schedules - Word Processing –
Presentation – Spreadsheet - Databases – Desktop - Social Networks and Groupware.
Privacy Issues in the Cloud
Presentation to the Chief Privacy Officers Council of Canada, May 4, 2010
Ponemon Institute paper at:
http://tinyurl.com/3a3pqgl
The document discusses ad-hoc networks and their key characteristics. It describes several challenges in ad-hoc networks including limited battery power, dynamic network topology, and scalability issues. It also summarizes several ad-hoc network routing protocols (e.g. DSDV, AODV, DSR), addressing both table-driven and on-demand approaches. Additionally, it outlines some ad-hoc MAC protocols like MACA and PAMAS that aim to manage shared wireless medium access.
Motivation
Types of Distributed Operating Systems
Network Structure
Network Topology
Communication Structure
Communication Protocols
Robustness
Design Issues
An Example: Networking
Fault tolerance is important for distributed systems to continue functioning in the event of partial failures. There are several phases to achieving fault tolerance: fault detection, diagnosis, evidence generation, assessment, and recovery. Common techniques include replication, where multiple copies of data are stored at different sites to increase availability if one site fails, and check pointing, where a system's state is periodically saved to stable storage so the system can be restored to a previous consistent state if a failure occurs. Both techniques have limitations around managing consistency with replication and overhead from checkpointing communications and storage requirements.
Middleware and Middleware in distributed applicationRishikese MR
The seminar discuss about the common middleware concept and middleware in distributed applications .Also we discuss about 4 different types of middleware. MOM( Message oriented Middleware), ORB (object request broker), TP Monitors, Request procedure calls RPC.
The slide also gives the advantages and disadvantages of each.
Cloud computing Definition, Types of cloud, Cloud services: Benefits and challenges of cloud computing, Evolution of Cloud Computing, Applications cloud computing, Business models around Cloud, Major Players in Cloud Computing, Issues in Cloud - Eucalyptus - Nimbus - Open Nebula, CloudSim.
The document discusses different models for distributed systems including physical, architectural and fundamental models. It describes the physical model which captures the hardware composition and different generations of distributed systems. The architectural model specifies the components and relationships in a system. Key architectural elements discussed include communicating entities like processes and objects, communication paradigms like remote invocation and indirect communication, roles and responsibilities of entities, and their physical placement. Common architectures like client-server, layered and tiered are also summarized.
Cloud computing is the on-demand delivery of IT resources and applications via the Internet with pay-as-you-go pricing. It evolved from earlier technologies like grid computing and utility computing by providing greater ease of use and on-demand scaling. A cloud broker acts as an intermediary between cloud service providers and customers, providing a unified interface and moving workloads between public and private clouds for improved performance and redundancy.
The document discusses how a Service Oriented Infrastructure (SOI) model can be combined with cloud computing. SOI defines infrastructure services and how they relate to business services, while cloud computing provides scalable, on-demand access to resources over the internet. Integrating SOI and cloud computing allows infrastructure to dynamically scale based on demand, with consumers only paying for resources as needed. This combined model provides transparency, governance, and cost control for cloud services.
For the past few years, the evolution of cloud computing has been potentially becoming one of the major advances in the history of computing. But is cloud computing the saviour of business? Does it signal the demise of the corporate IT functionality entirely? However, if cloud computing has to achieve its potential, there is a need to have a clear understanding of various issues involved, both from the perspectives of the providers and the consumers related to the technology, management and business aspects. Objective of this research is to explore the strategic business, management and technical challenges existing in cloud
systems. It is believed that adopting a methodology and suggesting a corresponding architectural framework would serve as a potential comprehensive conceptual tool, which shows path for mitigating challenges and hence effort are put in bringing in by mentioning a suitable methodology and its brief description. It concludes that International Business Machine Common Cloud Management Platform is one
way to realize the combined features of various models such as Hub & Spoke Model as a quality of Governance model; Gen-Spec Research Methodology design for semantic and quality research studies into one in the form of Reference Architecture. However in order to realize the full potential of the Customer- Respond-Adapt-Sense-Provider (conceptual) methodology for dealing with semantics, it is important to
consider Internet of Things Architecture Reference Model where in the resources are translated into Services.
Strategic Business Challenges in Cloud Systemsneirew J
For the past few years, the evolution of cloud computing has been potentially becoming one of the major
advances in the history of computing. But is cloud computing the saviour of business? Does it signal the
demise of the corporate IT functionality entirely? However, if cloud computing has to achieve its potential,
there is a need to have a clear understanding of various issues involved, both from the perspectives of the
providers and the consumers related to the technology, management and business aspects. Objective of this
research is to explore the strategic business, management and technical challenges existing in cloud
systems. It is believed that adopting a methodology and suggesting a corresponding architectural
framework would serve as a potential comprehensive conceptual tool, which shows path for mitigating
challenges and hence effort are put in bringing in by mentioning a suitable methodology and its brief
description. It concludes that International Business Machine Common Cloud Management Platform is one
way to realize the combined features of various models such as Hub & Spoke Model as a quality of
Governance model; Gen-Spec Research Methodology design for semantic and quality research studies into
one in the form of Reference Architecture. However in order to realize the full potential of the CustomerRespond-Adapt-Sense-Provider
(conceptual) methodology for dealing with semantics, it is important to
consider Internet of Things Architecture Reference Model where in the resources are translated into
Services.
This document provides an overview of service-oriented architecture (SOA). It defines SOA as a design paradigm that specifies the creation of automation logic in the form of discrete, autonomous services. The key benefits of SOA include enabling flexible, federated business processes and optimization through reuse of services across organizations. The document discusses SOA concepts like loose coupling, service contracts, and different service types. It also outlines the layers of a service architecture and some core SOA principles.
The document discusses service-oriented architecture (SOA) and how it can help address challenges with traditional application integration. SOA involves exposing software as services that can be easily accessed and composed to form applications. This loose coupling allows for improved adaptability, reuse, and independent change management. By focusing on interoperability through standardized interfaces rather than point-to-point integration, SOA aims to reduce integration costs and better fulfill evolving business needs.
Successful Approaches To Achieving Real Results With Soastevendearborn
The document discusses successful approaches to achieving business value through service-oriented architecture (SOA). It outlines the benefits of SOA such as improved flexibility, responsiveness, and cost savings. It also provides guidance on implementing SOA initiatives including selecting pilot projects, exposing legacy systems as services, and establishing governance structures.
OUCC2015 Service Oriented Enterprise (SOE)Colin Bell
Extending Service Oriented Architectures (SOA) to the whole organization from first principles in the Cloud (*aaS), through ITIL, and eventually landing at architected business services.
Service-Oriented Architecture Methods to Develop Networked Library ServicesRichard Akerman
This document discusses using service-oriented architecture (SOA) methods to develop networked library services. It outlines SOA methodologies and how SOA is being applied to develop Canada's scientific infostructure (Csi) to provide Canadians access to digital content. Csi is being built using an SOA approach with flexible architecture, and CISTI has implemented an SOA methodology to support growing services for Csi and facilitate its development as a Canada-wide research infostructure.
Cloud, the Enterprise, and the Enterprise ArchitectElisabeth Stahl
The document discusses the role of enterprise architects in cloud adoption. It provides examples of how enterprise architects helped two clients leverage cloud computing to improve user experiences and enable rapid business transformation. The key takeaways are that enterprise architects should utilize their expertise in enterprise architecture domains to support cloud adoption and lead enterprise-wide transformation initiatives involving cloud. Architects need skills in business processes, business cases, ROI analysis and technical architecture definition to effectively guide organizations' cloud strategies.
Delivering On It Innovation - Our Journey To Choosing Service Oriented Archit...bpriddey
The document summarizes Wellington City Council's journey to adopting a service-oriented architecture (SOA) approach to modernize its aging IT systems. Key points include:
- WCC faced increasing demands from citizens and aging IT infrastructure that needed to be more responsive and cost-effective.
- An analysis found issues with existing Java and PowerBuilder applications that were difficult to maintain and integrate.
- WCC chose an evolutionary transformation approach over replacing systems, to preserve investments while upgrading the architecture using SOA principles.
- Early results included improved ability to rapidly change systems, support business process automation, and preserve investments with minimal disruption.
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The workshop outline provides an overview of cloud computing concepts and technologies. It will compare cloud delivery models and evaluate products from companies like Amazon, Microsoft and Google. Attendees will learn about data center infrastructure, virtualization technologies, and how to deploy Software as a Service, Platform as a Service and Infrastructure as a Service. The workshop aims to help organizations understand how to implement cloud computing and address issues related to security, compliance and business continuity. It is intended for those interested in evaluating cloud computing technologies.
The document discusses how service-oriented architecture (SOA) impacts IT infrastructure and introduces new considerations for performance, security, availability, service management, and virtualization. Key points include:
- SOA introduces new infrastructure components like XML gateways and introduces challenges for monitoring distributed applications and isolating performance bottlenecks.
- Security must be implemented across multiple layers to secure messages in SOA environments while propagating identities among partners.
- High availability, disaster recovery, and scalability require techniques like clustering, workload management, and data replication across SOA components.
- Service management requires monitoring all components and closing the loop between infrastructure events and business services.
- Virtualization can help decouple applications from infrastructure
This document provides an overview of service-oriented architecture (SOA) and related concepts. It discusses SOA principles like loose coupling and implementation neutrality. It describes the roles involved in SOA like providers, registries, and requestors. Core Web services standards like SOAP, WSDL, and UDDI are explained. Examples of synchronous and asynchronous messaging between services are also provided.
The document discusses event driven architectures and how they have evolved over time. It describes how event driven design first emerged with control engineering applications using sensors. Standards like CORBA aimed to facilitate interoperability but still had tight coupling. Later, SOA introduced looser coupling but still had request/response services. Event driven architecture takes a different approach where systems react to events in an asynchronous, distributed manner using an enterprise service bus to connect applications.
While going through in-depth on Service Oriented Architecture (SOA) and Enterprise Architecture (EA) as part of my Oracle SOA and TOGAF certification, I had questions as to how SOA fits in the EA, and how TOGAF for EA support adopting SOA.
Here is an attempt to address that...
The document discusses cloud computing models that could support the growing business needs of Falcon Security. It suggests that Falcon adopt cloud services like Amazon RDS for databases, Amazon S3 for storage, and Google Mail, Office 365, and Microsoft CRM online for software. The paper compares cloud computing to service-oriented architecture and discusses private, public, and hybrid cloud deployment models as well as platform as a service (PaaS), software as a service (SaaS), and service-oriented architecture (SOA).
Moving to the cloud requires proper planning. There are many reasons to move to the cloud but without starting with a solid plan it will be difficult to achieve your objectives.
Are you prepared for the cloud?
In this webinar, Portal Solutions’ Daniel Cohen-Dumani and Dale Tuttle discuss Making your Cloud Strategy Work in 2016, including:
- Learning the key steps to making a cloud strategy that works
- Determining how moving to the cloud impacts your staff & your business
- Learning how to align your goals with opportunities
Moving to the cloud requires proper planning. There are many reasons to move to the cloud but without starting with a solid plan it will be difficult to achieve your objectives.
Are you prepared for the cloud?
In this webinar, Portal Solutions’ Daniel Cohen-Dumani and Dale Tuttle discuss Making your Cloud Strategy Work in 2016, including:
- Learning the key steps to making a cloud strategy that works
- Determining how moving to the cloud impacts your staff & your business
- Learning how to align your goals with opportunities
Similar to Cloud Computing Model with Service Oriented Architecture (20)
Enterprise Architecture .vs. Collection of Architectures in EnterpriseYan Zhao
The document discusses the differences between enterprise architecture (EA) and a collection of architectures in an enterprise. It argues that EA requires a top-down guidance framework to ensure the various architectures developed across an organization are coordinated and aligned. The key elements of an effective EA framework include a target vision, principles, governance, reference architectures, development approaches, and an evolution roadmap. The document also outlines the focus areas in each phase of the TOGAF architecture development method to help ensure successful adoption of EA in initiatives, programs and projects. Effective EA requires balancing top-down guidance with bottom-up flexibility for organic growth.
This paper introduces the notion of Inter-Enterprise Architecture (IEA) in response to the current evolution of business environment and landscape associated with the adoptions of common service, cloud computing, and social networking. The IEA describes the context, business environment, collaboration channels, partnership opportunities, influential components and relationships across enterprises and business organizations in selected business domain or service domain for a targeted enterprise or business organization(s). The IEA enables enterprises and business organizations to understand its position in currently connected and networked business world. Due to the open and dynamic nature of service adoption and collaboration, and the autonomy of current enterprise structure, culture, and operation environment, it is necessary to explore how business should be architected across boundaries to effectively response to the common service and collaboration environment.
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The document discusses the evolution of IT and IT infrastructure towards service orientation and cloud computing. It defines key concepts like enterprise architecture, service-oriented architecture, and cloud computing. It explains that cloud computing enhances service-oriented infrastructure by providing shared services and resources across organizations. Finally, it introduces a service-oriented infrastructure framework and discusses its relationship to the ITIL framework for IT service management.
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The document discusses agile software development and its impacts. It provides an overview of agile concepts, why organizations adopt agile approaches, current efforts to support agile, and the impacts of agile on software engineering processes, project management, and organizations. The author proposes solutions to help clients adopt agile in a disciplined way that integrates with existing practices and mandates.
Yan Zhao presents on service oriented enterprise architecture (SOEA). He discusses some of the challenges with traditional enterprise architecture (EA) modeling, stakeholder participation, maintenance and usage. SOA can help address these challenges by taking a more business-centric, service-oriented approach to modeling capabilities. Zhao outlines SOEA concepts including layered service components, domain segmentation, and service federation. He describes the benefits of SOEA such as increased business agility, reuse of existing assets, and reduced costs. Zhao also discusses SOEA governance and lifecycles to help manage services.
Integrate IT Strategic Planning with Performance MeasurementYan Zhao
This document discusses integrating IT strategic planning with performance measurement in the federal government. It proposes a full scope practice mechanism with comprehensive components, including: (1) an IT strategic planning structure and lifecycle model; (2) a performance measurement model with reference models, metrics, and tools; and (3) integrating strategic plans, tactical plans, and performance measurement to align initiatives and projects with strategic goals. The framework is intended to help agencies plan IT strategies, define goals and measures, collect performance data, and use results to improve over time.
Service Oriented Enterprise Architecture and Service Oriented EnterpriseYan Zhao
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Cloud Computing Model with Service Oriented Architecture
1. Cloud Computing Model
as Service Oriented Architecture
Yan Zhao, PhD
President, ArchiTech Consulting LLC
yan.zhao@architechllc.com
www.architechllc.com
July 16, 2013
The Open Group Conference, Philadelphia, PA., July 15 – 18, 2012
2. Content Summary
■ Rationale
■ Cloud computing in the evolution of Enterprise IT
■ The challenges in enterprise cloud computing
adoptions
■ EA, SOA, and Cloud Computing
■ Cloud computing model in terms of SOA
■ Shared service domain in enterprise
■ Cloud computing as an integral part in the new
generation IT operating Model
■ Conclusion
2
3. Rationale
Cloud computing is a natural step further from EA and SOA
EA has been practiced visibly for over 10 years, necessity is well
recognized, but success is limited
SOA is a good concept, but also has limited success
Cloud computing is a new spin for enterprise IT efficiency, enables an
more effective technical implementation of SOA, i.e. shared services.
The major challenges
New paradigm in organization structure and culture towards shared
service and collaboration
Architectural leadership and stakeholder participation
Engineering discipline that follows architectural models
Cloud service lifecycle management and governance
Intention of this presentation
Put cloud computing in the context of SOA and EA
Integrate cloud computing into the new generation IT operating model
Yan Zhao, Ph.D, ArchiTech Consulting LLC 37/18/2013
4. Yan Zhao, Ph.D, ArchiTech Consulting LLC 4
The Evolution of Enterprise IT
IT in Business
Past
Operation support
Individual project based decision
Ad hoc and technology driven implementation
Current Trend
Involved into business strategies and decisions (the agility of business
depends heavily on the flexibility of IT for decision support and automation)
Have long-term blueprint and big pictures as guidance (strategic plan and
EA)
IT Infrastructure
Past
Hardware, software, network components
Infrastructure silos
Current Trend
IT infrastructure is a line of business; is a segment in Enterprise Architecture
Service Oriented Infrastructure (infrastructure as a commodity service)
Cloud Computing (continue the trend with technical means)
5. Yan Zhao, Ph.D, ArchiTech Consulting LLC 5
Business Evolution Associated with IT
Business Online Integrated Business Business On Demand
Web access via
static web pages
Web access with
web applications
Online transactions
with connections to
backend applications
Online presentation Integration of both
business and IT
Backend IT system
integration
(interoperation across
Systems, e.g. EAI)
Business integration
(EA efforts across
organizational
stove pipes, SOA)
The Evolution Path
Collaborative and
dynamic business
Shared services on
demand
Flexible and commoditized
IT infrastructure
Agile business with
dynamic and adaptive
business processes
Enhanced IT Role in Business
1 2 3
6. Yan Zhao, Ph.D, ArchiTech Consulting LLC 6
Cloud Computing Concept
It is an evolution and re-packaging from what we have experienced already,
not initiated with any new technology, but is a new practice mechanism that
can expect more new technologies along the road
Prior-Art: Grid computing, utility computing, virtualization, SOA, SOI, Web
Service, Application Service Provider (ASP), multi-tenant software
applications, etc.
Composition (extended from NIST draft):
Characteristics: on-demand service, ubiquitous network access, location
independent resource pooling, rapid elasticity, measured service
Optional characteristics: multi-tenant enabled, resource virtualization, etc.
Delivery Models: software as a service, platform as a service,
infrastructure as a service
Additional delivery models: business process as a service, data as a service,
human service behind cloud
Deployment Models: private cloud, community cloud, public cloud, hybrid
cloud
Additional deployment model: Peer-to-peer cloud (more suitable for IPv6)
It enhances Service Oriented Infrastructure, and is a continuous evolution
towards Service Oriented Architecture
New innovations can be expected to benefit this new paradigm
7. Yan Zhao, Ph.D, ArchiTech Consulting LLC 7
The Challenges in Enterprise Cloud
Computing Adoptions
Understand the impact of the new paradigm
Separate common services from unique functions
Maximize loosely coupled services to reduce complexities and
lessen the impact of changes
Identify cloud suitable common services, and cloud service types
Organization structure
Loosely coupled service organizations break stove pipes and
promote collaboration
Dynamic relationships between service providers and service
consumers
Organization culture
Transform vertical connections to horizontal collaborations
Change management style from command and control to
motivation, facilitation, and collaboration
Adoption of new tools
Enable effective common service adoption
Enable collaboration inside and beyond enterprise
8. Yan Zhao, Ph.D, ArchiTech Consulting LLC 8
The Progress in
Federal Enterprise Architecture
EA Federation
The federation model fits federal government organization structure
It provides horizontal partition to the complete EA domain
EA Segmentation
Segments are defined based on the lines of business (LoB)
It provides vertical partition to the complete EA domain
Service Orientation
As an architectural style and approach, is well adopted in
architectural practice and solution implementation
A practical approach to bridge business and technologies, and
enables EA to reach program/project implementation
Cloud Computing
It is one form of the technical implementations of SOA concept, with
loosely coupled and sharable resources and services
It further enhances segmentation and federation implementation by
enabling shared services and resources across organizations and
segments
9. The Practice of EA, SOA,
and Cloud Computing
EA, SOA, cloud computing: EA has been practiced visibly for over
15 years, necessity is well recognized, but success is limited; SOA
bridges EA with solutions, but has implementation challenges; cloud
computing provides a more effective technical means
The major challenges: architectural leadership; stakeholder
participation; the discipline in implementation -> the integrated
cohesive efforts across EA, SOA, Cloud Computing
Lessons learned: Need to have target vision as a soul, and need
core ideas for the art of creation, e.g. need to have a target
architecture for a practical roadmap
Action need: Establish clear vision via EA, solidify the core ideas
with architectural guidance, have a roadmap for the efforts, promote
a balanced approach (top-down + bottom-up) for success
Yan Zhao, Ph.D, ArchiTech Consulting LLC 97/18/2013
10. 10
SOA Conceptual Model
• Service Provider: who publish services
to Service Registry
• Service Consumer: who find services
from Service Registry and use (or “bind”
to) them
• Service Registry: where contains
information for available services.
• Publish: providers announce service
availability to consumers via Service
Registry
• Find: consumers discover available
services inside Registry
• Bind: a service provider and a service
consumer reached agreement, and the
consumer connected to the service to
consume it.
Service
Provider
Service
Consumer
Service
Registry
Publish Find
Bind
11. 11
Cloud Computing Model
• Service Provider: who publish services
to Service Registry
• Service Consumer: who find services
from Service Registry and use (or “bind”
to) them
• Service Registry: where contains
information for available services.
• Publish: providers announce service
availability to consumers via Service
Registry
• Find: consumers discover available
services inside Registry
• Bind: a service provider and a service
consumer reached agreement, and the
consumer connected to the service to
consume it.
Cloud Service Model
Cloud
Service
Provider
Cloud
Service
Consumer
Cloud
Service
Registry
Publish Find
Bind
14. What the Service Broker Means for Cloud
Service Registry
& Metadata
Repository
Service
Consumer A
Service Broker
Orchestration & BPM TransformationSecurity
Governance
Policy
Management TransportContent-based Routing
Service
Component A
Service
Consumer B
Service
Component B
Service
Component C
Event
Handling
Middleware
External
Event
Internal
Event
16. Yan Zhao, Ph.D, ArchiTech Consulting LLC 16
Infrastructure as a Service (IaaS)
Infrastructure Cloud Service Registry
Infrastructure cloud services will be part of infrastructure service
portfolio
Infrastructure cloud services can be searchable through the Registry,
and be federated if necessary
The service terms and data should be in the Metadata Repository
Service Providers
Infrastructure cloud service providers can be one or multiple vendors
Service providers and their services will be registered in the Registry,
and relevant service data will be stored in the Metadata Repository
Service Consumers
Search available services in the Registry and Metadata Repository
Establish relationships with selected service providers for
implementation, services can be automated, semi-automated, or
human involved
18. Yan Zhao, Ph.D, ArchiTech Consulting LLC 18
Platform as a Service (PaaS)
Domain Specific Cloud Platform Service Registry
Suitable common services for a business domain can be shared in a
platform, which can be an integral part inside domain service portfolio
Platform services can be searchable through the Registry, and
federated if necessary
The service terms and data should be in the Metadata Repository
Service Providers
Platform cloud service providers can be from multiple vendors with
multiple service software (provided in the form of SaaS)
Service providers and their services will be registered in platform
service registry, and relevant service data will be stored in the
Metadata Repository
Service Consumers
Search available services in the platform Registry and Metadata
Repository
Establish service connections at development or run-time
20. Yan Zhao, Ph.D, ArchiTech Consulting LLC 20
Software as a Service (SaaS)
Software Service Registry
Cloud suitable software services (e.g. multi-tenant enabled) will be
shared via the software service registry
Cloud software services can be federated via service registry
The service terms and relevant usage data should be in the
Metadata Repository
Service Providers
Cloud software service providers can be multiple vendors with
multiple service software (provided in the form of SaaS)
Service providers and their services will be registered in the Registry,
and relevant service usage data will be stored in the Metadata
Repository
Service Consumers
Search available services in the Registry and Metadata Repository
Establish service connections at development or run-time
22. Yan Zhao, Ph.D, ArchiTech Consulting LLC 227/18/2013
Shared Service Domain in Enterprise
Business System
s
Info/Data Infrastructure
Shared Service Domain
Shared Business Services Shared System Services
Shared Information/Data
Services
Shared Infrastructure
Services
System service
on Cloud
Info/data service
on Cloud
Infrastructure
service
on Cloud
Business service
on Cloud
23. Yan Zhao, Ph.D, ArchiTech
Consulting LLC
237/18/2013
The New Generation IT Operating Model
Plan Build Run Stakeholders
• External and Internal
drivers
• Strategies and
objectives
• Economics and
business cases
• Business plan and
models
• Architectures in IT
domains
• Performance
measurement model
Governance
IT Operating Reference Model
Security
• System operation &
management
• IT service
management (ITIL)
• Service Lifecycle
• Business
transformation
• Change
management
• Contractual
management
• Business processes
& services
• Applications, systems
& services
• Info/data & services
• Infrastructure &
services
• Servers, storages,
networks & services
• Data center facilities
• Business decision
makers
• Resource owners
• Service providers
• Service consumers
• Governance and
regulatory bodies
• Industry associations
and standards groups
24. 24
Conclusion
■ Cloud computing is a natural step further follows EA and SOA
■ SOA concept and structure can be applied to cloud
computing model very well, in all three layers
■ Cloud computing can be integrated into the current enterprise
architecture and IT management efforts with a new
generation IT operating model
26. Yan Zhao, Ph.D, ArchiTech Consulting LLC 26
The Benefits of Cloud Computing
Efficiently share common services for all potential service
consumers
Separate business efforts from technology enablement
Reduce burden to enterprise IT, maximize resource sharing,
increase professionalism in IT operations, and enable high quality
of service
Continue evolution for current business and IT to better fit
Internet era and to take more advantages from Internet
applications and the connected world
Enable cost reduction and overall performance improvement from
enterprise global optimization. Enable the use of IT effectively
and efficiently across enterprise and beyond, so to improve
business decision making and automation opportunities