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NETE4631 Cloud deployment models and migration

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Title: NETE4631 Cloud deployment models and migration


1
NETE4631Cloud deployment models and migration
  • Lecture Notes 5

2
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

3
Recap (2) - SOA Enabling Technologies
  • Enterprise Service Bus (ESB)
  • Web Services (SOAP, WSDL, UDDI)

4
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.

5
Recap (3) - SOA and Cloud
6
Service Models and their risks
Modified from Cloud Computing Impact on future
enterprise architectures, Schekkerman, J.
7
Service and Deployment Models
8
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

9
Cloud Deployment Models (NIST)
  • Public clouds
  • Private clouds
  • Hybrid clouds

The models by the US National institute of
standards and technology (NIST)
10
Public Clouds
  • Infrastructure is for public use
  • Own by organization selling cloud services
  • Potential advantage
  • No risk in infrastructure
  • Potential disadvantage
  • Lack of security

11
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)

12
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)

13
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 Novells SUSE Linux operating system

14
Private Clouds
  • Private cloud has different meanings to different
    people
  • But Basically, its 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

15
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

16
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???

17
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

18
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

19
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

20
Operational Cost Reduction
21
Upsize and downsize on demand
22
Case Study on Oil Gas Industry
  • The migration use-case of an IT System
  • From a companys in-house data center
  • To Amazon EC2

System Overview
System Deployed in the Cloud
23
Infrastructure costs
  • Company C paid 104,000 to Company B for the
    system in 2005, 19,400 of which was for the
    systems 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

24
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

25
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 systems
    infrastructure.
  • 38 calls backup problems
  • 5 calls network problems
  • 2 calls power outages at B
  • In cloud 21 eliminated

26
Stakeholders Impact Analysis
  • Stakeholders impact analysis is a method of
    identifying potential sources of benefits and
    risks from the perspectives of multiple
    stakeholders.

27
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

28
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

29
Application attributes
  • Attributes to analyze for porting applications to
    the cloud
  • Application
  • Availability
  • Data management
  • Cost
  • Maintenance
  • Security
  • Scalability
  • Interfaces

30
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.

31
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.

32
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.

33
Cloud Service Attributes (2)
  • Infrastructure features
  • Availability, network support, load balancing,
    reliability, replication, database support.

34
Which cloud types to select?
35
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.

36
System Abstraction
  • Target should be able to provide abstraction of
    all required physical resources through
    virtualization.
  • Example, Medical imaging system

37
Cloud Bursting
  • Cloud should be able to serve access capacity
    when required.
  • Example, Reservation system

38
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.

39
Migration of SOA-based Applications to the Cloud
40
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

41
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.

42
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

43
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

44
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.

45
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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