Cloud Computing Imranul Hoque. Today’s Cloud Computing.

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Cloud Computing Imranul Hoque

Transcript of Cloud Computing Imranul Hoque. Today’s Cloud Computing.

Page 1: Cloud Computing Imranul Hoque. Today’s Cloud Computing.

Cloud Computing

Imranul Hoque

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Today’s Cloud Computing

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This Talk

• What is cloud computing?• Types of services• What makes cloud computing popular?• Case studies– Amazon Web Services– Eucalyptus

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Examples

• A credit card company• A researcher running scientific computing

experiments• A web-based book store• A social network startup

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Types of Service

• Infrastructure as a Service (IaaS)– Amazon EC2, Go-Grid, Eucalyptus, etc.

• Software as a Service (SaaS)– NetSuite (accounting), WorkDay (HR), etc.

• Platform as a Service (PaaS)– Google AppEngine, Coghead, etc.

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Important Features

• The illusion of infinite computing resources available on demand

• The elimination of an up-front commitment by cloud users

• The ability to pay for use of computing resources on a short-term basis as needed

• Result: Convert capital expenditure to operational expenditure

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Amazon Web Services

• Amazon Elastic Compute Cloud (EC2)• Amazon Simple Queuing Service (SQS)• Amazon Simple Storage Service (S3)• Amazon Simple DB (SDB)• Amazon Elastic Block Storage (EBS)

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Amazon Simple Storage Service

• Programmatic access via web services API• Highly scalable data storage in the cloud• Simple to get going, simple to use• Fast, highly available, and durable• Economic: $0.15/GB-month• 64 billion objects• Notable users: SmugMug, Jungle Disk, Twitter,

etc.

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Amazon EC2• Resizable Compute Capacity

– As much as you need, when you need it– Scale up or down in minutes

• Complete Control via API– Create, scale, and manage instances programmatically

• Variety of Instance Sizes– CPU Power, Cores, RAM, Disk

• Wide Variety of Pre-built AMIs (Amazon Machine Images)– Hit the ground running with minimal system building effort

• Secure and Flexible Network Security Model– Full control of access for each running instance

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AWS: Interesting Facts

• The Washington Post– 200 EC2 instances (1,407 server hours), convert

17,481 pages of Hillary Clinton’s travel documents within 9 hours

• The New York Times– 100 Amazon EC2 instances + Hadoop to convert

4TB TIFF image into 1.1 million PDFs in 24 hours• Animoto.com– 50 to 3500 servers in 3 days

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Eucalyptus

• Open-source software infrastructure for cloud computing

• Interface compatible with EC2, S3, and EBS

Get me 3 small InstancesGet me 3 small Instances

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Architecture

Cloud ControllerCloud Controller

Cluster ControllerCluster Controller Cluster ControllerCluster Controller

Node ControllerNode Controller

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Architecture (2)

• Node Controller– Runs VMs– Xen/KVM– Interfaces• runInstance(), describeInstance(), terminateInstance(),

describeResource(), startNetwork()

Hardware

Xen

Dom0 OS

DomU OS

DomU OS

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Architecture (3)

• Cluster Controller– Access to both public and private network– Gather state information from NC– Schedule incoming VM execution request to NCs

• Cloud Controller– User visible entry point– Key management– S3-interface compatible file system (Walrus)– Global scheduling

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Node ControllerNode Controller

XenXen

Event Sequence

Cloud ControllerCloud Controller

Cluster ControllerCluster Controller

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Node ControllerNode Controller

XenXen

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Networking Modes

• System– Use system settings

• Static– Get IP from a mapping of <mac, ip>

• Managed– Create a private network and get IP from that

• Managed No-VLAN– Same as Managed, but no isolation

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Internal Cluster Configuration

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172.22.28.131172.22.28.131 172.22.28.132172.22.28.132 172.22.28.133172.22.28.133

172.22.28.192/26172.22.28.192/26

cn120cn120

cn121cn121 cn122cn122 cn123cn123

172.22.28.130172.22.28.130

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Internal Cluster Configuration (2)

• 8 Machines: 1 CC/CLC, 7 NCs• OS: CentOS 5.3 (NCs running Xen kernel)• Eucalyptus version: 1.5.2• Hardware: HP DL160 (2 Quad Core + 16 GB

RAM + 2 TB Disk)• VM kernel: 2.6.27.21-0.1-xen• VM Image: – FC, CentOS, Ubuntu, Hadoop

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Improvement Suggestions

• Fault tolerance of cloud and cluster controller– Avoid single point of failure

• Make Walrus distributed– Efficiency of access– Avoid single point of failure

• Auto-scaling for Eucalyptus– Possible metrics: network, cpu, etc.

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Demo

• Admin interface– https://cn120.cloud.cs.illinois.edu:8443/

• ec2-api-tools– Version 1.3-30349

• Elasticfox– Modified for Eucalyptus

• Other– Boto, Typica, Jets3t, etc.

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