Cloud Providers, SciCloudand

Transcription

1 Basics of Cloud Computing Lecture 2 Cloud Providers, SciCloudand Research on Cloud at UT Satish Srirama

2 Outline Cloud computing services recap Amazon cloud services Elastic Compute Cloud (EC2) Storage services -Amazon S3 and EBS Cloud managers Eucalyptus SciCloudand Research at UT 2/45

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 3/45

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, Rackspace, GoGrid, Eucalyptus based SciCloud Management providers: RightScale, ElasticFox, Amazon Management Console 4/45

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:, Amazon Management Console, Jungle Disk, Elephant Disk, PutPlace.com 5/45

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 AppEngine-Python (initially, now also Java) Force.com (SalesForce) Hadoop 6/45

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 7/45

8 Other cloud services Provides services, which other applications can utilize Usually free for non-commercial use Players in the space Google/Yahoo Maps Google / Yahoo Web Services Amazon Merchant Services Amazon Simple Queue Service 8/45

9 Providers we focus at Amazon Web Services Amazon EC2 Amazon S3 Amazon EBS Private cloud enabling technologies Eucalyptus OpenStack SciCloud Management providers ElasticFox RightScale 9/45

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 10/45

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 11/45

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 32/64 bit m1.small $0.06 (*nix) $0.091 (win) Medium 2 EC2 units 3.75 GB 410 GB 32/64 bit m1.medium $0.12 (*nix) $0.182 (win) Large 4 EC2 units 7.5 GB 850 GB 64 bit m1.large $0.24 (*nix) $0.364 (win) Extra Large 8 EC2 units 15 GB 1690 GB Micro Up to 2 EC2 units 613 MB EBS storage only 64 bit m1.xlarge $0.48 (*nix) $0.728(win) 32/64 bit t1.micro $0.02 (*nix) $0.02 (win) * Data taken on /45

13 EC2 advanced Instance types * Instance CPU Memor y High-Memory Instances EC2 units GB Other types High I/O Instances High Storage Instances 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 88 EC2 units 60.5 GB 3370 GB 64 bit cc2.8xlarge Same as above * Data taken on /45

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 14/45

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 15/45

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 16/45

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: $0.095 per GB/Month Reduced Redundancy Storage : $0.076 per GB/Month Data Transfer 0ut from S3 to AWS different zone: $0.02/GB PUT, COPY, POST, or LIST Requests: $0.005 per 1,000 Requests GET requests: $0.004 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) 17/45

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 18/45

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 19/45

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. 20/45

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 21/45

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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 23/45

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 24/45

25 ElasticFox-GUI 25/45

26 Independent software vendors (ISV) for S3 S3 Explorer filicio.us Jungle Disk S3 Firefox Organizer MyOwnDB 26/45

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 27/45

28 PRIVATE CLOUD ENABLING TECHNOLOGIES 28

29 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 29/45

30 Eucalyptus Usage 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 30/45

31 Eucalyptus -architecture Amazon EC2 Interface 31/45

32 Basic euca2ools euca-describe-images euca-describe-instances euca-run-instances euca-create-volume euca-attach-volume euca-terminate-instances euca-describe-availability-zones 32/45

33 OpenStack Founded by NASA and Rackspace The open source cloud computing platform Feature-rich and massively scalable Powers cloud storage, compute, and networking A world-wide open source collaboration 33/45

34 OpenStack has 105+ participating companies and over 1,350 individual contributors. [source: Piston] 34/45

35 3 Major OpenStack Components OpenStack Compute/Nova: provision and manage large networks of virtual machines OpenStack Object Store/Swift: Create petabytesof reliable storage using standard servers OpenStack ImageService/Glance: Catalog and manage large libraries of server images Other components: Dashboard, Load Balancing, Authentication... 35/45

36 Working with OpenStack Last week keys are created for you all This week you work with the OpenStack private cloud Just like Eucalyptus euca2ools are sufficient to invoke the OpenStack services 36/45

37 SCICLOUD & UT S RESEARCH ON CLOUD 37

38 Scientific Computing Cloud (SciCloud) [Srirama et al, CCGrid 2010] Mobile Cloud Lab owned private cloud infrastructure Collection of smaller clouds built using Eucalyptus/OpenStack platforms Goal of the project To efficiently use the already existing resources of universities To address computationally intensive scientific, mathematical, and academic problems 38/45

39 Things that we do in cloud Research the utilization of cloud computing platforms for HPC [Srirama et al, SPJ 2011] Work with different Cloud computing frameworks MapReduce (Lecture 3) Adapting scientific computing problems to cloud using MapReduce [Srirama et al, FGCS 2012] Desktop to cloud migration (D2CM) tool [Srirama et al, CCSA 2012] Seamless migration of desktop virtual machine images to the Cloud Transform local VM images into cloud VM images 39/45

40 Things that we do in cloud -continued Mobile Cloud Delegate resource-intensive processing to the cloud [Flores et al, IJPCC 2012] To enrich the functionality of mobile applications Building social network and mashupapplications on Android/iOS devices [Srirama et al, SOCA 2012] Mobile Cloud Middleware [Flores et al, MoMM 2011] Cloud interoperability Hiding the complexity of cloud from mobiles Code offloading 40/45

41 Things that we do in cloud -continued Distributed troubleshooting [Shor & Srirama, CLOSER 2011] Finding memory leaks in distributed applications Adapting the tools to cloud solutions Migrating Enterprise Applications to the Cloud Refactoring enterprise applications for cloud ESB based applications Framework for monitoring performance of cloud based web applications [Vasar et al, NORDICLOUD 2012] Data mining and Bioinformatics on the cloud 41/45

42 How can you contribute We are always open to new research ideas Several theses are open Check at project home page or Interested students can approach me Join and participate in our seminars Mobile and Cloud Computing Seminar - MTAT /45

43 This week in lab You work with SciCloud Creating instances Connecting to instances through ssh Installing software Preparing images and snapshots 43/45

44 Next Lecture Introduction to MapReduce 44/45

45 References Amazon Web (Cloud) Services documentation SciCloud homepage Eucalyptus User's Guide S. N. Srirama, O. Batrashev, E. Vainikko: SciCloud: Scientific Computing on the Cloud, 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2010), May 17-20, 2010, pp IEEE CS. S. N. Srirama, O. Batrashev, P. Jakovits, E. Vainikko: Scalability of Parallel Scientific Applications on the Cloud, Scientific Programming Journal, Special Issue on Science-driven Cloud Computing, 19(2-3):91-105, IOS Press. S. N. Srirama, P. Jakovits, E. Vainikko: Adapting Scientific Computing Problems to Clouds using MapReduce, Future Generation Computer Systems Journal, 28(1): , Elsevier press. S. N. Srirama, C. Willmore, V. Ivanistsev, P. Jakovits: Desktop to Cloud Migration of Scientific Experiments, 2nd International Workshop on Cloud Computing and Scientific Applications 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012), May 13-16, H. Flores, S. N. Srirama, C. Paniagua: Towards Mobile Cloud Applications: Offloading Resource-Intensive Tasks To Hybrid Clouds, International Journal of Pervasive Computing and Communications, ISSN: , 8(4): , Emerald Group Publishing Limited. S. N. Srirama, C. Paniagua, H. Flores: Social Group Formation with Mobile Cloud Services, Service Oriented Computing and Applications Journal, ISSN: , 6(4): , Springer. H. Flores, S. N. Srirama, C. Paniagua: A Generic Middleware Framework for Handling Process Intensive Hybrid Cloud Services from Mobiles, The 9th International Conference on Advances in Mobile Computing & Multimedia (MoMM-2011), December 5-7, 2011, pp ACM. V. Shor, S. N. Srirama: A Statistical Approach For Identifying Memory Leaks In Cloud Applications, First International Conference on Cloud Computing and Services Science (CLOSER 2011), May 7-9, 2011, pp SciTePress. M. Vasar, S. N. Srirama, M. Dumas: Framework for Monitoring and Testing Web Application Scalability on the Cloud, Nordic Symposium on Cloud Computing & Internet Technologies (NORDICLOUD), 2012, pp ACM. 45/45