nete4631 cloud deployment models and migration

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NETE4631Cloud deployment models

and migration

Lecture Notes #5

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Recap – Service-Oriented Architecture SOA

“A service-oriented architecture (SOA) is an application framework that takes everyday business applications and breaks them down into individual business functions and processes, called services. An SOA lets you build, deploy, and integrate these services independent of applications and the computing platforms on which they run.” –IBM“

Some of the characteristics Increasing nature of distributed systems Heterogeneity of systems and computing environments Transparency of communication infrastructure details

Recap (2) - SOA Enabling Technologies Enterprise Service Bus (ESB) Web Services (SOAP, WSDL, UDDI)

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Business Process Modeling (BPM)

BPM addresses process flow and service invocations to form useful works.

Two integration methods Orchestration Choreography

WS- BPEL (orchestration-like) A language standard for WS interactions View business process as a collection of

activity graphs Provides command for defining logic using

conditional statements, loops, variable etc.

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Recap (3) - SOA and Cloud

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Service Models and their risks

6Modified from Cloud Computing Impact on future enterprise architectures, Schekkerman, J.

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Service and Deployment Models

Lecture Outline Cloud deployment models Business case Moving applications to the cloud

Application attributes Cloud service attributes System abstraction Cloud bursting Application and cloud APIs Migration of SOA-based Applications to

the Cloud

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Cloud Deployment Models (NIST)

Public clouds Private clouds Hybrid clouds

9The models by the US National institute of standards and technology (NIST)

Public Clouds

Infrastructure is for public use Own by organization selling cloud

services Potential advantage

No risk in infrastructure Potential disadvantage

Lack of security

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Key public cloud providers

Google Google Docs, Google App Engine

(GAE) EMC Corporation

Parent company of VMWare, one of the leading companies in virtualization

Microsoft Azure Platform Amazon Web Services (EC2 and S3) Salesforce.com (force.com)

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Partnership for cloud providers

Yahoo! Research Computational Research Laboratories

(CRL) Super computer with more than 14,

000 processors SAP and IBM

Resources and Services Virtualization Without Barriers (RESERVOIR)

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Partnership for cloud providers (2)

IBM POWER6 –Live Partition Mobility capacity

HP, Intel, and Yahoo! OPEN CIRRUS: A Global Cloud

Computing Testbed IBM and Amazon

IBM DB2, Informix Dynamic Server, WebSphere Portal, Lotus Web Content Management, WebSphere eMash, and Novell’s SUSE Linux operating system

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Private Clouds

Private cloud has different meanings to different people

But Basically, it’s a cloud infrastructure set up, managed, and upgraded by an organization or community for their own use (private use)

Full control of all resources and technologies

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Private Clouds (2)

Commercial vendors are entering in this domain quite fast and Open Source providers are also there Eucalyptus, Ubuntu

Potential advantage Security

Potential disadvantage Infrastructure cost

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Hybrid Clouds

Combine multiple clouds (private and public) Each cloud retains its unique

characteristics, but bound together as a unit

Potential advantage Security and Infrastructure cost

Potential disadvantage Policies compliance???,

Synchronization???

Other types of clouds

Virtual private clouds (VPC) Run on top of public cloud Leverage VPN technology to

customize network topology and security setting

Advantage – infrastructure and security

Example, Amazon Web Services

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Other types of clouds (2)

Community clouds Serve a common function or purpose

of multiple units Share common concerns such as mission,

policies, security and regulatory compliances

Units can be within one organization or multiple organizations

Advantage Cost – shared infrastructure cost Security – higher level of security and privacy

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Business case

Dimensions to consider to save cost Ongoing operational cost reduction The value of preserving capital The value of upsizing on demand The value of downsizing on demand The value of agility The value of reuse The value of coolness

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Operational Cost Reduction

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Upsize and downsize on demand

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Case Study on Oil & Gas Industry

The migration use-case of an IT System From a company’s in-house data

center To Amazon EC2

22System Overview

System Deployed in the Cloud

Infrastructure costs Company C paid £104,000 to Company B

for the system in 2005, £19,400 of which was for the system’s infrastructure.

In addition, C paid B £43,000 per year for system support and maintenance, £3600 of which is for the running costs of the system infrastructure.

Over a 5 year period, the total cost of the system infrastructure is therefore: £19,400 + (5 x £3,600) = £37000

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Price Comparision Amazon EC2 provides an option of using

either small or large server instances depending on the amount of CPU power and RAM required.

In Cloud, 37% cheaper compared to 1 small and 1 large server instance

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Support and Maintenance

In 2005, 218 Support calls have been made regarding the operation of the system.

The majority were about software problems. 45 calls were related to the system’s

infrastructure. 38 calls – backup problems 5 calls – network problems 2 calls – power outages at B

In cloud – 21% eliminated

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Stakeholders’ Impact Analysis

Stakeholders’ impact analysis is a method of identifying potential sources of benefits and risks from the perspectives of multiple stakeholders.

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The steps to do business case

Understanding the existing issues Assign costs Model “as is” Model “to be” Define value points Define hard benefits Define soft benefits Create business case

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Moving applications to the cloud

Deploy Application to the cloud? Entirely or Part of the application is on the

local system and another part is in the cloud Migration involves

Functionality Mapping - Identification of potential benefits associated with migration

Analysis of critical features of application Analysis of features supported by cloud provider

Nature of target cloud platform Evaluation of supported tools and technologies

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Application attributes Attributes to analyze for porting

applications to the cloud Application Availability Data management Cost Maintenance Security Scalability Interfaces

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Application Attributes (2)

Quality attributes associated with application Abstraction, configuration, interoperability, modularity,

reusability, language support, monitoring support, staffing requirements, tool support.

Quality attributes associated with availability Fault management, Geographic location, resource pooling,

resource access, reliability, uptime.

Quality attributes associated with scalability Caching, licensing, lifecycle management, load balancing,

replication, resource provisioning

Quality attributes associated with cost Development cost, resource cost, staging cost.

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Application Attributes (3) Quality attributes associated with data

management Data exchange, indexing, online/offline access, portability,

query, state, store type, data structures, transactions.

Quality attributes associated with security Access, auditing, authentication, cryptography, identity,

regulations, remote access, security rules, trust relationships.

Quality attributes associated with maintenance APIs, Configurations, Deployment.

Quality attributes associated with user interface

Ease of use, interface features, user interaction.

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Cloud Service Attributes

Features associated with application Accounting schemes, operating system

support, database support, resource pooling mechanisms, site location, redundancy and replication, relation management, virtual machine types, APIs.

Platform features Application support, deployment

environments, Internationalization (languages and locale), programming langue support, testing, API and command line interfaces.

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Cloud Service Attributes (2) Infrastructure features

Availability, network support, load balancing, reliability, replication, database support.

Which cloud types to select?

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Following types of application are more suitable for cloud

Not mission critical. Not handling core business operations. Not dealing with sensitive data. Can tolerate high network latencies and work on

low network bandwidth. Following industry standards. E.g. using

standardized tools for object to relational mappings.

Do not require detailed customization for each tenant.

Organization involved in porting have full knowledge of application and its associated domain.

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System Abstraction

Target should be able to provide abstraction of all required physical resources through virtualization.

Example, Medical imaging system

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Cloud Bursting

Cloud should be able to serve access capacity when required.

Example, Reservation system

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Application and Cloud APIs

Provides access to cloud resources in automated fashion.

Nature of cloud APIs can impact migration activity.

REST and SOAP are common techniques to expose APIs.

Cross platform portability is an issue because of unavailability of standardized APIs.

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Migration of SOA-based Applications to the Cloud

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Understanding your data, services and processes Data

List systems the problem domain and the databases that support those systems

Get DB information such as brand, model, etc Service

List services in the problem domain and list what they do, what information they process

Process Looking at processes in the problem domain and

how they will span between cloud and your enterprise

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Examples of Architectural Components Data

Customers (Cnum (char(30)) Cname (char(30)) CAddress (char(40)))

Services Add_Customer/ Update_Cutomer are

bound to Customer tables Processes

Generate_Customer_Record process is bound to Add_Customer/ Add_Account/ Record_Sales services.

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Candidate Data, Services and Processes for the Cloud

When the processes, applications, and data are largely independent, or loosely coupled

When the points of integration are well-defined interfaces such as APIs

When a lower level of security will work just fine When the browser is the desired user interface When the money is tight When the applications and/or services are new

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Making the move to Cloud List candidate platforms Analyze and test candidate platforms Select target platforms Deploy to target platforms Example

Processes IaaS / Amazon EC2 or P(rocess) aaS / Appian

Service IaaS / Amazon EC2 or DaaS / Amazon Simple DB

Data IaaS / Amazon EC2 or PaaS / Force.com

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Summary

Application requirements and cloud features should be carefully analyzed while migrating applications on cloud.

Quality attributes support by cloud provider plays a vital role in successful migrations.

Business dimension of application migration is as important to consider as technical aspects.

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References Chapter 1, 14 of Course Book: Cloud

Computing Bible, 2011, Wiley Publishing Inc.

Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS, Khajeh-Hosseini, A., Greenwood, D., Sommerville, I., 2009

Chapter 4-7, 10. 11 of Cloud Computing and SOA Convergence in your Enterprise, Linthicum, D., S.

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