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Cloud Computing and Migrating your systems to the Cloud


MCLS Presentation, Ramamurthy CLOUD COMPUTING AND MIGRATING YOUR SYSTEMS TO THE CLOUD * Bina Ramamurthy Computer Science and Engineering Department – PowerPoint PPT presentation

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Title: Cloud Computing and Migrating your systems to the Cloud

Cloud Computing and Migrating your systems to
the Cloud
  • Bina Ramamurthy
  • Computer Science and Engineering Department
  • University at Buffalo (UB)
  • This work is partially funded by grants
  • NSF-DUE-CCLI-Phase II 0920335 and NSF-CI-TEAM
  • http//

Cloud The next Generation Computer?
  • Vacuum tube computer
  • Transistors based computer
  • Integrated circuits
  • Main frame
  • Minicomputer
  • Microcomputer
  • Desk tops, PCs, Laptops, Palmtops
  • Internet and the web, web services
  • Mobile devices (cell phone and PDA)
  • Cloud computing

Evolution of Internet Computing
deep web
Data-intensive HPC, cloud
Semantic discovery
Automate (discovery)
Discover (intelligence)
  • Business
  • Automation
  • Remote operations
  • Heterogeneity
  • Scale
  • Integration (application, data)
  • E-commerce,
  • Computing
  • Programming languages
  • RISC vs. CISC architectures
  • Memory capacity
  • Computing power
  • Simple program?Object-orientation?Component?

Evolution (contd.)
  • Information technology
  • Internet, World-wide web Grid
  • Mobile and wireless
  • Devices
  • Software, platforms
  • Search engines
  • Tremendous advances in application it is an
  • Environment and Society
  • Accessibility
  • Globalization (outsourcing, markets)
  • IT users not exclusive to Computer Science
  • Digital media
  • ipod, iphone, idog, ipad,
  • Youtube, myspace, social networking
  • Blogs,wikies, podcasts
  • Facebook, orkut, twitter

It is a changed world now
  • Explosive growth in applications biomedical
    informatics, space exploration, business
    analytics, web 2.0 social networking YouTube,
  • Extreme scale content generation e-science and
    e-business data deluge
  • Extraordinary rate of digital content
    consumption digital gluttony Apple iPhone,
    iPad, Amazon Kindle
  • Exponential growth in compute capabilities
    multi-core, storage, bandwidth, virtual machines
  • Very short cycle of obsolescence in technologies
    Windows Vista? Windows 7 Java versions C?C
  • Newer architectures web services, persistence
    models, distributed file systems/repositories
    (Google, Hadoop), multi-core, wireless and mobile
  • Diverse knowledge and skill levels of the
  • You simply cannot manage this complex situation
    with your traditional IT infrastructure

Top Ten Largest Databases
Ref http//
  • We need to
  • Address the scalability issue large scale data,
    high performance computing, automation, response
    time, rapid prototyping, and rapid time to
  • Effectively address (i) ever shortening cycle of
    obsolescence, (ii) heterogeneity and (iii) rapid
    changes in requirements
  • Transform data from diverse sources into
    intelligence and deliver intelligence to right
  • Spread the benefits of computing to the
    society/common person
  • Align with the needs of the business / user /
    non-computer specialists / community and society/
    the net- generation

The Big Picture
  • Cloud provides computing on-demand.
  • You can set up and go with an instance of a
    Windows, Linux (various flavors), or machines
    with other operating systems (old and new)
  • It can provide attached volume storage
  • It can provide unlimited storage accessible by
    web services
  • It can provision a cluster of computers on-demand
    to perform sophisticated functions.

the cloud
  • Cloud computing is Internet-based computing,
    whereby shared resources, software and
    information are provided to computers and other
    devices on-demand, like the electricity grid.
  • The cloud computing is a result of numerous
    attempts at large scale computing with seamless
    access to virtually limitless resources.
  • on-demand computing, utility computing,
    ubiquitous computing, grid computing, ..
  • It delivers computational infrastructure and
    services to the masses similar to electricity and
  • Budget-wise it is a shift from capital investment
    (upfront cost) to operational cost

Topics for Discussion
  • Cloud Computing as services
  • Cloud Models
  • Capabilities of cloud (demos)
  • Sample Cost Analysis
  • Analyzing your organization needs for cloud
  • Some general observations
  • Potential benefits
  • Limitations
  • UBs involvement A State-level Certificate
    Program in Data-intensive Computing (pending SUNY
  • References
  • Conclusion

The Cloud Computing as Services
  • Typical operational models
  • Infrastructure as a Service (IaaS) Amazon Web
    Services (
  • Platform as a Service (PaaS) Windows Azure
  • Software as a Service (SaaS). Ex Google docs,
    Turbo Tax online (Google App Engine)
  • Services-based application programming interface
  • A cloud computing environment can provide one or
    more of the above requirements for a cost
  • Pay as you go model of business
  • When using a public cloud the model is similar to
    renting a property than owning one.
  • An organization can also evolve its own IT
    infrastructure to a cloud model (private cloud

Cloud Models
  • Azure, EC2 and GAE are complementary models
  • In EC2 you can work at the low levels and have
    control over the infrastructure
  • Azure is abstract in that it provides a fabric of
    compute cycles and storage and operates at the
    enterprise level
  • GAE is a Python-based environment for design,
    development and deployment of applications
  • All have well-defined pricing model that is quite
  • GoGrid and Rackspace are two other cloud
    companies that primarily feature cloud data

Windows Azure
  • Enterprise-level on-demand capacity builder
  • Fabric of cycles and storage available on-request
    for a cost
  • You have to use Azure API to work with the
    infrastructure offered by Microsoft
  • There is a development environment where you
    develop and test the application and upload it to
    the production environment on the cloud.
  • Special features are blob storage, web roles and
    worker roles.
  • Provides Azure SQL and other features for easy
    migration of Windows users to the cloud.

Amazon EC2
  • Amazon EC2 is one large complex web service.
  • EC2 provided an API for instantiating computing
    instances with any of the operating systems
  • It can facilitate computations through Amazon
    Machine Images (AMIs) for various other models.
  • Signature features S3, Cloud Management Console,
    MapReduce Cluster, GPU cluster, Amazon Machine
    Image (AMI)
  • Lets look at some of the features of AWS
  • On-demand provisioning (machine instance,
    storage, applications, )
  • Scalability (auto scaling / load balancing)
  • Availability (through redundancy)
  • Rapid prototyping and deployment
  • Elastic resources (including bandwidth)

AWS Features (demos)
  • Elastic Compute Cloud (EC2)
  • AWS Cloud Front
  • Amazon Machine Images (AMI)
  • Linux and Windows images
  • Simple Storage Service (S3)
  • Elastic Block Volumes (ESB) (mounted/attached
  • Load balancers
  • Support for Data-intensive computing Ex Hadoop
    MapReduce GPU computing Other applications to
    come soon
  • Reserved and spot instances (besides the regular
    on-demand instances)

Google App Engine
  • This is more a web interface for a development
    environment that offers a one stop facility for
    design, development and deployment Java and
    Phython-based applications in Java and Phython.
  • Google offers the same reliability, availability
    and scalability at par with Googles own
  • Interface is software programming based
  • Comprehensive programming platform irrespective
    of the size (small or large)
  • We developed an Adobe Flash Evolutionary
    Evolutionary Biology tool for teaching freshman
    biology. (NSF CI-TEAM Grant)
  • This scenario is a serendipitous invaluable
    experience for us about the capability of the

Google App Engine Load Monitoring on 10/11
MemCache on GoogleAppEngine on 10/11
Memcache partial unavailability
Simple Cost Model for Amazon Cloud
  • 0.10 c per hour if you leave the Linux instance
    on after 10 hours you terminate it, you pay
  • http//
  • See also http//
  • On page 49
  • 0.10/CPU-hour one load balancer
  • 0.40/CPU-hour 2 application servers
  • 0.80/CPU-hour 2 database servers
  • 2.40 44.0038.40 84.80 per day for a typical
    scenario leading to 30,952 per year.
  • This software licenses (if you use yours)
    management tools (cloud monitoring) labor (who
    prepares and loads stuff on the cloud).

Sample Scenario
  • Traditional
  • Half rack at a reliable ISP with sufficient
    bandwidth to support your needs
  • Two good firewalls
  • One hardware load balancer
  • Two good GB Ethernet switches
  • Six solid, commodity business servers
  • The cloud option
  • One medium 32-bit instance
  • Four large 64-bit during standard usage to meet
    peek demands
  • Assume open source software and services
  • Costs for time for setting up environments,
    monitoring services, labor for management of
  • Table shown next gives the upfront and ongoing

Cost Analysis
  • Costs associated with different infrastructures
    (I initial, M-Monthly)
  • Internal-I Cloud-I
    Internal-M Cloud-M
  • Rack 3,000 0 500 0
  • Switches 2,000 0 0 0
  • Load balancer 20,000 0 0 73
  • Servers 24,000 0 0 1,206
  • Firewalls 3,000 0 0 0
  • 24/7 Support 0 0 0 400
  • Mgt. software 0 0 100 730
  • Expected labor 1,200 1,200 1,200
  • Degraded.perf 0 0 100 0
  • Totals 53,200 1,200 1,900 3009

Cost Comparison
  • 112,083 (internal) vs 94,452 (cloud)
  • When the traffic patterns are static and steady
    you may not need the cloud
  • Cost savings are tremendous when the variance
    between peak and average increases, and between
    average and low increases.
  • Excellent case our tool POP!World on the Google
    App Engine

Software Licenses
  • Cloud environments come with costs bundled with
    the instances for the common operating systems
    and software packages
  • Example Windows, MySQL, Linux versions..
  • Cloud is an impetus to work with freeware and
    open source.
  • Open source is ideal for the cloud
  • Flexibility of the open source made amazon cloud
  • Beyond, open source best licensing model is the
    one charges by CPU-hour
  • Amazon has recently introduced a feature where
    you can compute with licenses you purchased
    bring your own license (BYOL) This may be useful
    for your CARL license
  • Restricted software licenses are not good for
    cloud environment
  • Per user licensing that requires validation
    against a server, auditing and such
  • Lesson Make sure you understand the licensing
    for the products you use

IT infrastructure at Monroe County Library
Systems (MCLS)
  • 1. Microsoft Operating Systems. MS Win Server
    2003, Win Server 2008. Couple of Solaris 8/9
    devices. Linux on one Content Filter.
  • 2. At the desktop level Windows XP, Vista and
    Windows 7.
  • 3. Applications we use Office 2007 (/
    2010).Word, Excel, Access, Power Point,
    Publisher, Outlook (Exchange Mail).
  • 4. Symantec Endpoint Anti-Virus.
  • 5. Marshall 8e6 Content Filter.
  • 6. Major App. Our Integrated Library System is
    CARL. It is a TLC (The Library Corporation)
  • 7. HP SAN 12 tb capacity (previously Left-hand,
    purchased by HP).
  • 8. HP shop for servers and desktops, we use 3Com
    (also purchased by HP) for the Switches and
  • 9. Fortinet, Fortigate 1000A Firewall.
  • 10. WAN has 2000 devices on it.

IT infrastructure at Monroe County Library
Systems (MCLS)
  • 1. Microsoft Operating Systems. MS Win Server
    2003, Win Server 2008. Couple of Solaris 8/9
    devices. Linux on one Content Filter.
  • 2. At the desktop level Windows XP, Vista and
    Windows 7.
  • 3. Applications we use Office 2007 (/
    2010).Word, Excel, Access, Power Point,
    Publisher, Outlook (Exchange Mail).
  • 4. Symantec Endpoint Anti-Virus.
  • 5. Marshall 8e6 Content Filter.
  • 6. Major App. Our Integrated Library System is
    CARL. It is a TLC (The Library Corporation)
  • 7. HP SAN 12 tb capacity (previously Left-hand,
    purchased by HP).
  • 8. HP shop for servers and desktops, we use 3Com
    (also purchased by HP) for the Switches and
  • 9. Fortinet, Fortigate 1000A Firewall.
  • 10. WAN has 2000 devices on it.

Analysis of the MCLS (High level analysis)
Amazon Cloud
CARL on Linux server Oracle server instances
S3 Media Archive
SAN instance
HP, Solaris and Windows servers
Amazon Firewall
Content filter 5
Local desktops, wan devices, mobile devices
Roadmap to migration to cloud
  • Stakeholders (in IT) get familiarized with
    capabilities of the cloud capabilities, services,
    features, models and accessibility
  • Prototype a small project to understand the
  • Evaluate the cost, benefits and assess the
    experiences of the MCLS users
  • Involve the license holders/vendors of the major
  • Design and launch the cloud deployment in stages

Sample Cloud costs
  • Windows Server 2003 instance
  • High-CPU Extra Large Instance 7 GB of memory, 20
    EC2 Compute Units, 1690 GB of local instance
    storage, 64-bit platform,
  • Cloud Price 1018.92 (Total Annual Cost)
  • Expected Utilization per month 10
  • Usage pricing 1.16/hr
  • Monthly payment 84.91
  • Internal Price
  • OS license fee (170) Server H/W (1486)
  • OpenSolaris 2009.06 instance
  • High-Memory Extra Large Instance 17.1 GB memory,
    6.5 ECU (2 virtual cores with 3.25 EC2 Compute
    Units each), 420 GB of local instance storage,
    64-bit platform
  • Cloud Price 1317.60 (Total Annual Cost)
  • Expected Utilization per month 30
  • Usage pricing 0.50/hr
  • Monthly payment 109.80
  • Internal Price SPARC T3-1 Server 18,639.00
  • Thanks to Raj Chakraborty, my student for the

Modified Operational Model and suggestions for
cost saving
  • Evaluate the usage pattern and adjust the
    computational resource deployed
  • the systems are used by only Monroe county
    residents or user in Monroe county, NY
  • Usage is almost 0 during nights (8 hours? 1/3 of
    the day)?
  • Usage pattern shows sporadic use on certain
  • Employee use only during work hours (8-10 hours a
  • It is possible to work out the cost estimates,
    savings and effort involved.
  • These will ultimately decide the degree of cloud

Potential Benefits
  • Scalability
  • Availability
  • Automation through web services (SOAP and REST)
  • Newer programming and application models
  • Accessibility to masses through commoditization
  • Organic disaster mitigation and recovery
  • Green Computing
  • Rapid prototyping and deployment for newer
    computing models such as MapReduce
  • Obliterates digital divide
  • Great concept to draw in and engage the
  • Not so steep learning curve (quite intuitive)
  • Cost saving

Scalability through Elastic Resources
  • Move, shift, balance. load, unload, juggle
  • You can request only as many resources as you
    want and return them when you no longer need them
  • Automatic load balancing possible
  • On-demand provisioning of resources
  • Most importantly turn-on and turn-off whenever
  • Economies of scale Increases use/production
    leads to increased efficiency and lowers unit
  • Large organization have perfected the management
    and administration of large scale infrastructure
    for their own demanding operations why not sell
    this expertise?

  • Availability claims it is 99.99
  • Redundancy and multiple availability zones
  • a (p (c X d) ))/p where
  • a is the expected availability
  • c the of likelihood that you will encounter a
    server loss in a given period
  • d expected downtime from the loss of the server
  • p the measurement period
  • If you have 40 chance of your server failing and
    it takes 24 hours to fix it, availability is
  • (8760 0.40X24)/8760 0.999 or 99.9
  • Now consider other points of failures in the
    system two cable outage in two hours
  • (8760 ((0.424) (2.02)))/8760 99.84
  • Redundancy mitigates this problem. When you have
    two or more physical components representing a
    logical component, the expected downtime of the
    logical component is the downtime of all the
    components down simultaneously
  • c X d now becomes (c X dn )/pn-1 (n-way
  • Applying this formula to a server with a
    duplicate (n2) we get 99.99

Newer Programming and Application Models
  • MapReduce programming model
  • Google File System (GFS), Hadoop File System
    (HDFS), Collossus, BigTable (stores data in
    ltkey,valuegt pairs)
  • Dryad from Microsoft
  • Social networking management frameworks
  • Many more ideas in the recent Symposium on Cloud
    Computing (SOCC 2010, USA)
  • We expect emergence of many more data-intensive
    computing models

Accessibility to the Masses
  • No software to write (at least for the common
    user) Take a look at the logo of
  • Buy cycles using a credit faster than you can go
    to a supermarket and get bread.
  • The cloud environment will be usable similar to
    how gadgets were used
  • You create a machine image for your commonly used
    applications and let the user instantiate it
    uniformity, standardized use, accountability,
    compliance can be enforced, knowledge sharing,

Disaster Mitigation
  • Icelands volcanic ash cloud illustrates the case
    for cloud computing http//cloudcomputing.sys-co
  • Cloud storage and on-demand services can help in
    setting up the backup as well as operation
    capacity to help in mitigating disasters.
  • After the disaster has moved on, the cloud can be
    used to recover and restore once the operation
    is restored, the cloud capacity is no longer
    needed and services can be terminated.

Facilitates Green Computing
  • The cloud hardware is well located and optimized
    for efficient operation.
  • Easy to control ramp up and ramp down the
    capacity, turn off and on according to green
  • Organization can establish policies and enforce
    them using green processes such as automatic
  • Though on/off is available for individual
    PC/laptops, power saving is up to the user.

  • Security of data and application
  • Privacy of data
  • Reliability
  • Other vulnerabilities (crash of a virtual machine
    vs. crash of a physical machine) fast fail-over
  • Multi-tenancy (Ex various organizations renting
    space on the same cloud provider).
  • State of flux (frequent updates and addition of
  • Cost computation/pricing

Certificate Program in Data-intensive Computing
at UB
  • 5 courses
  • CS2 (CSE250 Algorithms and Data Structures),
  • Distributed Systems (CSE486),
  • Data-intensive Computing (CSE487),
  • Course in any major area of interest (Ex
    biomedical engineering)
  • Capstone project in the area
  • A limited number of scholarships (1000 each)
    available for enrolling and completing this
  • These courses are also offered online by Enginet
    distance learning program.

  • Cloud Computing Characteristics, economies and
    architectures http//
  • http//
  • Amazon cloud free limited trial
  • Google App Engine (free limited trial)
  • First ACM Symposium on Cloud Computing (SOCC)
    2010, Indianapolis Indiana, http//research.micr

  • Cloud computing is indeed a transformational
    technology that is here to stay.
  • It will be as impactful (if not more) as the
    Internet, the web and the e-commerce revolution.
  • Traditional IT will gradually evolve into the
    cloud infrastructure.
  • Most of all, it is poised to socialize computing
    and make it as widely and easily accessible as
    the other transformational technologies such as
    telephones and automobiles.

Demo details
Demo Details Cloud Model / Technology Demo details
1 Multi-thread fractals AWS Window's 64-bit instance Connect to remote desk top download .exe file on the local DVD to remote desktop instal on the AWS cloud deployed machine Try it out
2 EC2 Cloud services Dashboard AWS Linux instance Go over various services offered by AWS on the dash board deploy a simple Linux instance and connect to it install tools tranfer files from local files to the EC2 machine.
3 Google App Engine GAE POP!World application and what happended in the introductory Biology course.
4 Storage models archival storage AWS S3 EBS S3 data transfer demo using Firefox AWS dashboard
5 Three-tier Enterprise web application AWS FileZilla (sftp) transfer of .war file .war is deployed automatically on the machine instance created
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