Cloud computing 13 principal enabling technologies
- 1. Cloud Computing: 13 Principal / Enabling Technologies Prof Neeraj Bhargava Vaibhav Khanna Department of Computer Science School of Engineering and Systems Sciences Maharshi Dayanand Saraswati University Ajmer
- 2. Introduction: A Golden Era in Computing Powerful multi- core processors General purpose graphic processors Superior software methodologies Virtualization leveraging the powerful hardware Wider bandwidth for communication Proliferation of devices Explosion of domain applications 2
- 3. Evolution of Internet Computing Publish Inform Interact Integrate Transact Discover(intelligence) Automate(discovery) time scale Socialmediaandnetworking Semantic discovery Data-intensive HPC, cloudweb deep web Datamarketplaceandanalytics 3
- 4. Challenges • Alignment with the needs of the business / user / non-computer specialists / community and society • Need to address the scalability issue: large scale data, high performance computing, automation, response time, rapid prototyping, and rapid time to production • Need 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 people/user/systems • What about providing all this in a cost-effective manner? 4
- 5. Enter 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 culmination of numerous attempts at large scale computing with seamless access to virtually limitless resources. – on-demand computing, utility computing, ubiquitous computing, autonomic computing, platform computing, edge computing, elastic computing, grid computing, … 5
- 6. Grid Technology • Emerging enabling technology. • Natural evolution of distributed systems and the Internet. • Middleware supporting network of systems to facilitate sharing, standardization and openness. • Infrastructure and application model dealing with sharing of compute cycles, data, storage and other resources. • Publicized by prominent industries as on-demand computing, utility computing, etc. • Move towards delivering “computing” to masses similar to other utilities (electricity and voice communication).” Hmmm…sounds like the definition for cloud computing!!!!! 6
- 7. It is a changed world now… • Explosive growth in applications: biomedical informatics, space exploration, business analytics, web 2.0 social networking: YouTube, Facebook • 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 (virtualization) • Very short cycle of obsolescence in technologies: Windows Vista Windows 7; Java versions; CC#; Phython • Newer architectures: web services, persistence models, distributed file systems/repositories (Google, Hadoop), multi-core, wireless and mobile • Diverse knowledge and skill levels of the workforce • You simply cannot manage this complex situation with your traditional IT infrastructure: 7
- 8. Answer: The Cloud Computing? • Typical requirements and models: – platform (PaaS), – software (SaaS), – infrastructure (IaaS), – Services-based application programming interface (API) • A cloud computing environment can provide one or more of these 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 could also maintain a private cloud and/or use both. 8
- 9. Enabling Technologies 64-bit processor Multi-core architectures Virtualization: bare metal, hypervisor. … VM0 VM1 VMn Web-services, SOA, WS standards Services interface Cloud applications: data-intensive, compute-intensive, storage-intensive Storage Models: S3, BigTable, BlobStore, ... Bandwidth WS 9
- 10. Common Features of Cloud Providers Development Environment: IDE, SDK, Plugins Production Environment Simple storage Table Store <key, value> Drives Accessible through Web services Management Console and Monitoring tools & multi-level security 10
- 11. 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 • Significant features: web role, worker role , blob storage, table and drive-storage 11
- 12. Amazon EC2 • Amazon EC2 is one large complex web service. • EC2 provided an API for instantiating computing instances with any of the operating systems supported. • It can facilitate computations through Amazon Machine Images (AMIs) for various other models. • Signature features: S3, Cloud Management Console, MapReduce Cloud, Amazon Machine Image (AMI) • Excellent distribution, load balancing, cloud monitoring tools 12
- 13. 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 Python-based applications in Java, Go and Python. • Google offers the same reliability, availability and scalability at par with Google’s own applications • Interface is software programming based • Comprehensive programming platform irrespective of the size (small or large) • Signature features: templates and appspot, excellent monitoring and management console 13
- 14. Assignment • Discuss the technologies contributing to the growth of cloud computing