Cloud ComputingKHELENDER SASAN

Agenda covered

Introduction

What

Model & Deployments cases

Applications & Use cases

Generic

Domain Specific

Case Studies

Technology & Architecture

Evolution of related technologies

Components of a cloud framework

Development, Challenges and

Future

Numbers

Tools & Frameworks

Programming paradigm changes

IntroductionWHAT, MODELS, DEPLOYMENTS, BENEFITS, EXAMPLES

NIST Definition of Cloud Computing

"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."

Essential Characteristics…

• Intermediaries (provider) role is eliminated / minimized

• Need driven

On demand self service

• Available over network and through several heterogeneous platforms (thin client, desktop, laptop, servers, mobile)

• Offering over internet

Broad network access

• Resources are pooled

• Location independence

• multi-tenancy model

• Resources include Compute, Memory, Storage, and Network

Resource pooling

• Immediate Scaling outward and inward

• Infinite expansion assumed

Rapid Elasticity & Expansion

• Metering capability

• Transparent resource monitoring, control and reporting

• Results in pay per use!

Measured Service

Cloud Service Models

Deployment Models

Private

CommunityPublic

Hybrid

Immediately apparent benefits…

Economic Efficiency (optimal utilization of resources, power, space

etc)

Hardware Agnostics

Scalability

Configurability

Location Independence (anywhere, anytime)

Agility

Enterprise Grade Features (reliability, availability, maintainability….)

on demand basis

8

Few examples…

Cloud Technology Spectrum…10

Source : Gravitant, Inc from Cloud Technology Spectrum

(http://blog.gravitant.com/2012/07/27/cloud-technology-spectrum/)

Applications &

Usage scenariosWHERE THEY GET USED ?

Usage scenarios

Resource Optimization : Medium to Big Organizations

Common pool for organization

Test & Development infra

Disaster Recovery

Release Life cycle reduction and faster T2M (Time to Market)

Fast and economical boot-strapping : Start-ups !

PoCs

Short Term projects

Usage scenarios

Business value from BI & Big Data analytics : Enterprisesand corporates

Infra Operations and management : Non IT and few ITorganizations

Outsourcing non-core operations (Payroll processing,Support workflows, ): Enterprises and Corporates

Other Enterprise cases:

Seasonal Capacity => Front End expansion !!

CPU Intensive tasks ->

Content Synchronization across groups !

Domain specific examples

Service aggregation

E-retail (flipkart, amazon),

Food Industry (Food Panda),

Transport (uber) and others

Higher education

Virtual learning

Financial Services

Business transaction assurance and continuity…

Business Market Launch

Telco

Service Delivery

Partner collaboration

Government

Research (Compute capacity need)

Productivity

End user cost optimization

Media and Entertainment

Test Assurance Service

Health Services

Rapid deployment

Distribution

Brand Unification

IT System services in *aaS model

Multi-tenancy based system service (e.g. backup & disaster recovery, application as a service)

Enabling

Technologies…BIT OF HISTORY AND CURRENT STATE…

Compute Virtualization

Objectives

Optimized use of HW

Controlled and use from outside

Flexible configuration

Disaster recovery (fail-over, migration)

Backup (Snapshots)

Hypervisors

Types (Type-1, Type-2 and Para-virtual )

Examples (KVM, Xen, ESXi, Hyper-V)

Containers

Linux containers (LXC, OpenVZ, BSD Jail)

Commercials offerings (Docker, Rocket)

Storage Technologies &

Virtualization Objectives

Optimized use of HW

Flexible configuration

Disaster recovery (fail-over, backup and snapshots)

Few additional involved technologies …

Deduplication

Delta based synchronization

P2P protocols

VFS implementations

Offerings

Block (SAN devices : FC and iSCSI)

File & Folders (NAS devices)

Object storage

Distributed File Systems (HDFS, GFS, etc)

More

Network virtualization

Objective

Create multiple network routes based upon specific needs

QoS and bandwidth attributes are configurable

Fault Tolerance

Examples

Evolving technologies (VLAN, VxLAN, Overlay networks)

Generic SDN coming into picture (e.g. OpenVSwitch)

Distributed Infrastructure

Distributed computing protocols stack (time ordering protocols, membership and leader protocols, e.g. gossip)

Service discovery and configuration protocols and framework

Fail-over, load balancing, etc.

http://www.slideshare.net/ThomasGraf5/sdn-nfv-introduction

Ecosystem and surrounding…

Frameworks & tools

Server Provisioning

Orchestration Tools

Configuration Management

Application Deployment

Monitoring

Auto Scaling

Other Enablers

IoT

( RFID, GPS, Wearables)

Big Data / Hadoop

Mobile

E-commerce (B2B, B2C)

Cloud ArchitectureESSENTIAL COMPONENTS

TYPICAL CONFIGURATION

Open Source Cloud framework :

OpenStack’s componentsFocus area OpenStack

Component

Responsibility

Compute virtualization Nova Compute compute VM launching, controlling and monitoring

Block Storage Cinder Provide raw block storage for VMs

Images Glance Provide OS and VM images for launching etc

Object Storage SWIFT Provides object based storage over top of existing

engine

Basic network virtualization Nova network Basic network virtualization that is sufficient for simpler

network configurations

Advanced network setups Neutron Enables setting up of complex network configurations

and routes

Dashboard for control and

monitor

Horizons Provides basic interface to launch and control VMs,

their storage and network connections etc

Authentication engine Keystone Provides authentication and authorization services

Measurement engine Ceilometer Provides measurement services for various resources

Deployment Model Example : Basic

Deployment Model Example

A Different perspectiveCHALLENGES AND CHANGES EXPECTED

Challanges

Security

Standardization

Migration support

Interoperability & Federation

25

Paradigm change in Application

Design & Delivery

The entire Data Center has become one big Computer

and OpenStack (Cloud Management framework) is the Operating System

26

http://www.slideshare.net/jgriffith8/open-stack-london-keynote

Cloud MarketA BRIEF LOOK ON GROWTH NUMBERS…

Move from DC towards cloud

SaaS deployments number is

highest!

Growth predictions…

Public versus private data cloud

growth…

Thanks!

Q&A