Basics of Cloud Computing Lecture 2. Cloud Providers. Satish Srirama
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1 Basics of Cloud Computing Lecture 2 Cloud Providers Satish Srirama
2 Outline Cloud computing services recap Amazon cloud services Elastic Compute Cloud (EC2) Storage services -Amazon S3 and EBS Cloud managers Eucalyptus SciCloud 2
3 Cloud Computing Services -Recap Software as a Service SaaS A way to access applications hosted on the web through your web browser Platform as a Service PaaS A pay-as-you-go model for IT resources accessed over the Internet Infrastructure as a Service IaaS Use of commodity computers, distributed across Internet, to perform parallel processing, distributed storage, indexing and mining of data Virtualization SaaS Facebook, Flikr,Myspace.com, Google maps API, Gmail PaaS Google App Engine, Force.com, Hadoop, Azure, Amazon S3, etc IaaS Amazon EC2, SciCloud, Joyent Accelerators, Nirvanix Storage Delivery Network, etc. Level of Abstraction 3
4 Cloud Infrastructure Provisioning of computing resources: CPU, Memory, Processing Basically an Operating System on demand Usually billed on a per-hour usage model Players in this space Amazon EC2, GoGrid, Joyent, Ubuntu Enterprise Cloud Management providers: RightScale, ElasticFox, HybridFox Operational Differences Widely different CPU/Memory specs Operating System differences Difficult/Impossible to move whole images between providers 4
5 Cloud Storage Provisioning of data storage: Either file/object based or Database like functionality Billed on bandwidth and storage consumed Players in the space Amazon S3, Amazon EBS Amazon s SimpleDB, Google s BigTable, Apache Cassandra Management Providers: Jungle Disk, Elephant Disk, PutPlace.com Issues Different types of data storage models Limitations on the size of individual data units Different billing models makes it hard to do a straight comparison Access to the data generally uses non-standard query syntax No common API 5
6 Cloud Platforms Provides a complete software stack -An IDE for the cloud Takes care of: Runtimes, Load balancing, Resource provisioning Players in the space Google App Engine - Python (initially, now also Java) Force.com (SalesForce) Microsoft s Azure -.NET Heroku.com (RubyOnRails) Facebook platform Issues Different languages -- Most platforms are unary Different operational philosophies Google App Engine for example doesn t permit static files. However you can configure it! Lots of limitations in terms of deployment Completely reliant on the provider for complete uptime and operation Widely different billing models 6
7 Cloud Applications Applications that are completely online Operate on data that is stored in the cloud or ether No client software generally required Billing: Ad. Revenue, Premium Services Players in this space Google Apps -Gmail / Google Docs Apple s MobileMe Microsoft s Live - Hotmail, Live Spaces SalesForce.com Issues Near or impossible to move between providers GMail to Hotmail requires major disruption End user focused Consumer side of cloud computing Completely reliant on the provider for complete uptime and operation 7
8 Other cloud services Provides services, which other applications can utilize Specific to vertical markets where most Web2.0 standards live Usually free for non-commercial use Players in the space Google/Yahoo Maps PayPal / Google Checkout Google / Yahoo WebServices Amazon Merchant Services Amazon Simple Queue Service Issues/Comments Some Web2.0 services have attempted a standardization path Most however are complete vendor lock-in Mashup applications utilize these Cloud Service 8
9 Providers we focus at Amazon Web Services Amazon EC2 Amazon S3 Amazon EBS Eucalyptus SciCloud Management providers ElasticFox RightScale 9
10 Amazon Elastic Compute Cloud (EC2) One of the very early pioneers of cloud computing In a nutshell: On Demand Operating System Complete virtual computer with CPU, Memory and disk space Based on the XEN virtual image platform Variety of operating systems available Linux (Fedora, Ubuntu, CentOS, etc) Open Solaris Microsoft Windows 10
11 EC2 continued Very simple pricing structure CPU hours Machine size Bandwidth in and out of cloud Extremely FAST start up 2-3 minutes from start to finish Instance snapshotting Very large/generous disk space provisioning 160GB minimum for the standard instances Flexible API to control everything Wide range of virtual machine types 11
12 EC2 Instance types * Instance CPU Memory Storag e Small (default) 1 EC2 computing unit Platform API Name Price (per h.) 1.7 GB 160 GB 32 bit m1.small $0.08 (*nix) $0.115 (win) Medium 2 EC2 units 3.75 GB 410 GB 32 bit m1.medium $0.16 (*nix) $0.23 (win) Large 4 EC2 units 7.5 GB 850 GB 64 bit m1.large $0.32 (*nix) $0.46 (win) Extra Large 8 EC2 units 15 GB 1690 GB Micro Up to 2 EC2 units * Data taken on MB EBS storage only 64 bit m1.xlarge $0.64 (*nix) $0.92(win) 32/64 bit t1.micro $0.02 (*nix) $0.03 (win) 12
13 EC2 advanced Instance types * Instance CPU Memor y High-Memory On-Demand Instances EC2 units GB Storag e GB Platfor m API Name 64 bit m2.xlarge m2.2xlarge m2.4xlarge Price (per h.) Available at: mazon.com/ ec2/pricing/ High-CPU 5,20 1.7, 7 350, 64 bit c1.medium Same as Instances EC2 GB 1690 c1.xlarge above units GB Cluster Compute Instances Cluster GPU Instances 33.5,82 EC2 units 33.5 EC2 units * Data taken on , 60.5 GB 1690, 3370 GB 22 GB 1690 GB 64 bit cc1.4xlarge cc2.8xlarge Same as above 64 bit cg1.4xlarge Same as above 13
14 EC2 Terminology Having an account Access Key Secret Key Security group Availability Zone Amazon Machine Image (AMI) A Virtual Machine File ami-xxxx Stored in a special bucket in Amazon s S3 Public and Private instances available Private instances incur only S3 storage costs A Running Machine Amazon Instance ( i-xxxx ) Booted/Created from an Amazon Image Elastic IP addresses 14
15 Troubles with EC2 On power-off all hard disk data is lost IP addresses are assigned at random Can t turn off public IP address Do not forget to terminate the instances 15
16 Simple Storage Service (S3) Enables you to upload, download, and store data across the Internet Buckets store data Buckets are the fundamental container in Amazon S3 for data storage 100 buckets for account No limit on no of objects that can be stored in a bucket Can store up to 5 TB of data in one object Object stores Data and Metadata Objects stored in a Region never leave the Region You cannot modify or append data to an existing object 16
17 Simple Storage Service (S3) -continued Objects are retrieved via a unique, developer-assigned key Keys Example: "doc" is the bucket name and " /AmazonS3.wsdl" is the key. Prices Storage: $0.125 per GB/Month Reduced Redundancy Storage : $0.093 per GB/Month Data Transfer in: $0.12/GB to transfer data PUT, COPY, POST, or LIST Requests: $0.01 per 1,000 Requests GET requests: $0.01 per 10,000 Requests Download Data Downloading is possible from any where You can enable others to download and can charge them (Using Amazon DevPay) 17
18 Elastic Block Storage (EBS) The answer to the persistence problem Raw unformatted external block devices Allocate 1GB to 1TB volumes 20 volumes per account Format with your own choice of file system Attach to running instances in the same availability zone Automatically replicated to prevent data loss Create snapshots for backup, or to create new volumes from 18
19 Basic ec2-api-tools ec2-describe-images ec2-describe-instances ec2-run-instances ec2-create-volume ec2-attach-volume ec2-allocate-address ec2-associate-address ec2-terminate-instances 19
20 Other cloud services from Amazon AWS management console Amazon Simple Queue Service (SQS) Amazon DynamoDB Amazon Relational Database Service Amazon CloudWatch Amazon Elastic MapReduce Elastic Load Balancing etc. 20
21 Getting started Signup for an AWS account Use your existing Amazon.com account if you want Register a credit card Billed on the 1st of every month for previous month usage 21
22 22
23 Getting started for free free tier Valid for 12 months 750 hours of EC2 Linux Micro Instance usage 5 GB of S3 standard storage, 20,000 Get Requests, and 2,000 Put Requests 30 GB of Amazon EBS 25 Amazon SimpleDBMachine Hours and 1 GB of Storage Be careful You cross the limits, you are charged without any notice 23/35
24 ElasticFox Mozilla Firefox extension for managing your Amazon EC2 account Supported services List available AMIs List your running instances Launch new instances of an AMI Manage security groups and launch permissions associated with your instances Manage Amazon EBS volumes 24
25 ElasticFox-GUI 25/35
26 Independent software vendors (ISV) for S3 S3 Explorer filicio.us Jungle Disk S3 Firefox Organizer MyOwnDB 26
27 RightScale RightScale cloud management platforms Automated configuration From boot to production on auto-pilot Server templates & Right scripts Cloning/ replication of set-ups Automated management Monitoring, alerts, SLAs -> actions Have several examples Can login as a developer 27
28 Eucalyptus Are you OK with using your credit card? Open source project Elastic Utility Computing Architecture Linking Your Programs To Useful Systems Web services based implementation of EC2 infrastructure For establishing private clouds Functions as a software overlay Existing installation should not be violated (too much) Focus on installation and maintenance 28
29 Eucalyptus Usage Foster greater understanding and uptake of cloud computing Provide a vehicle for extending what is known about the utility model of computing Experimentation vehicle prior to buying commercial services Provide development, debugging, and tech preview platform for Public Clouds Homogenize local IT environment with Public Clouds AWS functionality locally makes moving using Amazon AWS easier, cheaper, and more sustainable Provide a basic software development platform for the open source community E.g. the Linux Experience Notdesigned as a replacement technology for AWS or any other Public Cloud service 29
30 Eucalyptus -architecture Amazon EC2 Interface 30
31 Basic euca2ools euca-describe-images euca-describe-instances euca-run-instances euca-create-volume euca-attach-volume euca-terminate-instances euca-describe-availability-zones 31
32 Other private cloud technologies Globus/Nimbus Client-side cloud-computing interface to Globus-enabled TeraPort cluster at University of Chicago Based on GT4 and the Globus Virtual Workspace Service Shares upsides and downsides of Globus-based grid technologies Enomalism(now called ECP (Enomaly's Elastic Computing Platform)) Start-up company distributing open source REST APIs Reservoir European open cloud project Many layers of cloud services and tools Ambitious and wide-reaching but not yet accessible as an implementation 32
33 Scientific Computing Cloud (SciCloud) Distributed Systems Group owned private cloud infrastructure Eucalyptus setup Goal of the project To Establishing a private cloud at universities To efficiently use the already existing resources of universities To address computationally intensive scientific, mathematical, and academic problems 33
34 SciCloud architecture Web browser Amazon EC2 Interface SOAP/REST based tools Kuu Cluster HPC Cluster Cluster controller SciCloud controller Node controller kuu1 Cluster controller Storage controller 2 katel40 Node controller kuu2 Node controller 0 katel42 Custom images Node controller kuu8 Katel
35 SciCloud-continued For further information (SciCloud homepage) Entry link Follow the manuals for detailed information Description of the images How to run instances How to create customized images Work with them in the lab exercises 35
36 SciCloud Research topics Have customized images supporting Scientific Computing NumPy SciPy Enterprise computing Ongoing research with auto scaling Ongoing research with distributed troubleshooting Porting enterprise application onto the cloud Ongoing research with load balancing MapReduce (Lecture 3) Reducing scientific computing problems to MapReduce 36/35
37 SciCloud Research topics -continued Mobile Cloud Accessing cloud services from the mobiles Building social network and mashupapplications on Android/iOS devices Several theses are open Check at project home page or Interested students can approach me Open to new research ideas More discussion in Lecture 7 37/35
38 Any Questions? 38/35
39 Further topics to discuss Will try to discuss other cloud providers in 6 th lecture I might focus at Aneka framework Google AppEngine SalesForce Next lecture MapReduce Hadoop 39
40 References Amazon Web (Cloud) Services documentation Trying the basic example with RightScale Beginner_Examples/3._Basic_Example SciCloud homepage Eucalyptus User's Guide TODO: Work with SciCloud instances 40
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