introduction to cloud computing

Introduction to Cloud ComputingIntroduction to Cloud Computing

Zsolt NéZsolt NémethmethMTA SZTAKIMTA SZTAKI

As it started

Gartner’s Hype Cycle on Emerging Technologies 2011

Current trends

Cloud computing

Grid Computing

Distributed Computing

Gartner’s Hype Cycle on Emerging Technologies 2012

Concepts and definitionsConcepts and definitions

Dreams and Concepts

Cost-effectiveUtility computing

Easy access to resources Self-service

Pay-as-you-go

Cut administration & maintenance

Power efficiency

Improve resource utilisation

Use available resources

Software as a service

Reduced HW investments Reduced personnel cost

Driving forces: commerce

• Strong industrial needs and driving forces– Improve resource utilisation– Use available resources efficiently– Save energy– Decrease cost

• Consumer needs– Cost effectiveness– Easy access to resources– Pay-as-you-go– No initial investments– Self-service

Why Cloud?

• Provides services– Resources, applications, tools– Large-scale, heterogeneous,

economic, mobile, green

• Unaware where it is• Unaware what it is actually• Unaware how it is realized• Unaware of its size

The cloud is „something”

Misconcepts

• Always available• Infinite resources• High performance• Minimal costs• Green infrastructure• Scalability, elasticity• Accessible

• These must be relatively assessed

Real characteristics

• An economic model for resource– Provisioning– Management

• Realizes utility computing• Elastic• Increased availability and reliability• Improved accessibility – ease of use• Reduced cost

Cloud characteristics

Technology Business Social / Legal Other

Elasticity / Scalability

Outsourcing Security Multi-tenancy

Virtualisation Pay per use Provenance Ease of Use

Agility & adaptability

Resource utilisation Privacy

Availability Energy efficiency

Data Management Cost efficiency

Reliability Accounting

Programmability

K. Jeffery and B. Neidecker-Lutz: „Advances in Clouds – Research in Future Cloud Computing”. Expert Group Report, 2012.

Relation to other areas


An “official” definition

A 'cloud' is an elastic execution environment of resources involving multiple stakeholders and providing a metered service at multiple granularities for a specified level of quality (of service).

L. Schubert, K. Jeffery and B. Neidecker-Lutz: „The Future of Cloud Computing, Opportunities for European Cloud Computing beyond 2010”. Expert Group Report, 2010.

Another “official” definition

• Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models.

P. Mell, T. Grance: “The NIST Definition of Cloud Computing”. National Institute of Standards and Technology, Special Publication 800-145, 2011

Essential characterisitcsEssential characterisitcs

Essential chracteristics

• On-demand self-service• A consumer can unilaterally provision

– computing capabilities– server time– network storage

• as needed, automatically without human interaction


• Broad network access• Capabilities are available over the network

– accessed through standard mechanisms– by heterogeneous client platforms

• mobile phones• Tablets• Laptops• workstations

Essential chracteristics• Resource pooling• The provider’s resources (storage, processing,

memory, and network bandwidth) are pooled • serve multiple consumers

– multi-tenant model• physical and virtual resources

– dynamically assigned and reassigned according to consumer demand

• location independence – but may specify location at a higher level of

abstraction


• Rapid elasticity• Capabilities can be elastically provisioned and

released– in some cases automatically– scale rapidly with demand

• appear to be unlimited


• Measured service• control and optimize resource use by

leveraging a metering capability • Resource usage

– Monitored– Controlled– Reported

• providing transparency for both the provider and consumer.

Service modelsService models

Service models: SaaS

• Software as a Service (SaaS)• The provider’s applications running on a cloud

infrastructure. • Accessible from various client devices

– thin client interface, such as a web browser– program interface

• The consumer does not manage or control the underlying cloud or even individual application capabilities

Software as a Service

L. Badger, T. Grance, R. Patt-Corner, J. Voas: “Cloud Computing Synopsis and Recommendations”. National Institute of Standards and Technology, Special Publication 800-146, 2012

Service models: PaaS

• Platform as a Service (PaaS). • Deploy onto the cloud infrastructure

consumer-created or acquired applications – created using programming languages, libraries,

services, and tools supported by the provider.

• The consumer does not manage or control the underlying cloud infrastructure but – has control over the deployed applications

Platform as a Service


Service models: IaaS

• Infrastructure as a Service (IaaS)• Provision processing, storage, networks, and

other fundamental computing resources – the consumer is able to deploy and run arbitrary

software, operating systems and applications. • The consumer does not manage or control the

underlying cloud infrastructure but – has control over operating systems, storage, and

deployed applications

Infrastructure as a Service


Infrastructure as a Service


PaaS

IaaS

Virtualisation

• Simulation of the hardware and software environment in which other software runs

• Simulated environment = virtual machine (VM)• Coupling between the physical layer and the guest

OS = hypervisor, virtual machine monitor– Controls flow of instructions– Partitions resources– Isolates guest OSs– Provides the interface of a real physical hardware

machine• Guest OS + applications encapsulated = image

Virtualisation

Darryl Chantry: Mapping Applications to the Cloud. Microsoft Corporation, 2009

Deployment modelsDeployment models

Deployment models

• Private cloud• The cloud infrastructure is provisioned for

exclusive use by a single organization – comprising multiple consumers (e.g., business

units)

Private cloud


Deployment models

• Community cloud• The cloud infrastructure is provisioned for

exclusive use by a specific community of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations)

Community cloud


Deployment models

• Public cloud• The cloud infrastructure is provisioned for

open use by the general public

Public cloud


Deployment models

• Hybrid cloud • The cloud infrastructure is a composition of

two or more distinct cloud infrastructures (private, community, or public) – remain unique entities– bound together by standardized or proprietary

technology that enables data and application portability

What next…What next…

You will learn

• IaaS middleware in-depth: OpenNebula• OpenNebula hands-on• Cooperation of multiple clouds

– Cloud bursting– Cloud federations– Multi-clouds– Cloud and grid interoperation

• CloudBroker hands-on

References

L. Schubert, K. Jeffery and B. Neidecker-Lutz: „The Future of Cloud Computing, Opportunities for European Cloud Computing beyond 2010”. Expert Group Report, 2010.


M. Armburst, A. Fox, R. Griffith, A.D. Joseph, R. Katz, A. Kowinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, M. Zaharia: “Above the Clouds: A Berkeley View of Cloud Computing”. White paper, 2009


P. Mell, T. Grance: “The NIST Definition of Cloud Computing”. National Institute of Standards and Technology, Special Publication 800-145, 2011

introduction to cloud computing

Documents

future cloud computing

future of cloud computing

cloud model

european cloud computing

sizethe cloud

official definitiona

service models

expert group report