Putchong Uthayopas, HPCNC, Kasetsart University

• A style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.

Cloud computing

Source: Wikipedia (cloud computing)

Google

Amazon

YahooMicrosoft

Saleforce

Legend:

Cluster computing,

Grid computing,

Cloud computing

A recent study of Market Research Media forecasts that U.S. Government spending on cloud computing enters an explosive growth phase – at about 40% CAGR over the next six years. Expenditure will pass $7 billion by 2015

IDC predicts cloud computing will reach $42 billion in 2012

Gartner Inc. projects world-wide cloud-services revenue will rise 21.3% in 2009 to $56.3 billion.

Merrill Lynch last year estimated cloud-computing revenues would reach $160 billion in 2011

Source: http://www.marketresearchmedia.com/2009/05/20/us-federal-cloud-computing-market-forecast-2010-2015/http://online.wsj.com/article/SB123802623665542725.html

The illusion of infinite computing resources available on demand, thereby eliminating the need for Cloud Computing users to plan far ahead for provisioning.

The elimination of an up-front commitment by Cloud users, thereby allowing companies to start small and increase hardware resources only when there is an increase in their needs.

The ability to pay for use of computing resources on a short-term basis as needed (e.g., processors by the hour and storage by the day) and release them as needed, thereby rewarding conservation by letting machines and storage go when they are no longer useful.

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Saas (Software as a Services) Application delivered over internet as a services (gmail)

Cloud is a massive server and network that serve Saas to large number of user

Service being sold is called Utility computing

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berekeley

Cluster and Grid Technoogy The ability to build a highly scalable computing

system that consists of 100000 -1000000 nodes Service oriented Architecture Everything is a service

Easy to build, distributed, integrate into large scale aplication

Web 2.0 Powerful and flexible user interface for intenet

enable world

Virtualization is a broad term that refers to the abstraction of computer resources: Server virtualization, which separates an

operating system from the underlying platform resources

Resource virtualization, the virtualization of specific system resources, such as storage volumes, name spaces, and network resources

▪ Encapsulation, the hiding of resource complexity by the creation of a simplified interface

▪ Storage virtualization, the process of completely abstracting logical storage from physical storage

▪ Network virtualization, creation of a virtualized network addressing space within or across network subnets

Wunca 20, 14-16 January 2009

Server

So

laris

Lin

ux

Virtualization S/W

Win

do

ws

Source: wikipedia - virtualization

Private Cloud

Public Cloud

Hybrid Cloud

Source: Introduction to Cloud Computing Architecture, White paper from Sun Microsystems

Infrastructure as a Service (IaaS)

• is the delivery of computer infrastructure (typically a platform virtualization environment) as a service.

Platform as a service (PaaS)

• is the delivery of a computing platform and solution stack as a service.

Software as a Service (SaaS)

• Service (SaaS, typically pronounced 'sass') is a model of software deployment whereby a provider licenses an application to customers for use as a service on demand.

Dispatcher

VM

Monitor

Service Request

Monitor

Pricing Accounting

Service Request Examiner and

Admission Control

- Customer-driven Service Management

- Computational Risk Management

- Autonomic Resource Management

Users/

Brokers

SLA

Resource

Allocator

Virtual

Machines

(VMs)

Physical

Machines

Cloud resources

Virtual Machine (VM), VM Management and Deployment

QoS Negotiation, Admission Control, Pricing, SLA Management,

Monitoring, Execution Management, Metering, Accounting, Billing

Cloud programming: environments and tools

Web 2.0 Interfaces, Mashups, Concurrent and Distributed

Programming, Workflows, Libraries, Scripting

Cloud applications

Social computing, Enterprise, ISV, Scientific, CDNs, ...

Ad

ap

tive

Ma

na

ge

me

nt

CoreMiddleware

User-LevelMiddleware

System level

User level

Au

ton

om

ic / Clo

ud

Eco

nom

y

Apps Hosting Platforms

Mobile Interactive Applications

Backend for massive Mobile Device Services

Parallel Batch Processing

Scientific computing

Enterprise Analytics

Risk Analysis, Stock Market Analysis

Extension of Desktop Application Office Live Space

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Source: Introduction to Cloud Computing Architecture, White paper from Sun Microsystems

Cloud service Provider

CRM Software

Force.com application development platform

Source: IBM presentation

26

Manjrasoft

User scenario: GoFront(unit of China Southern Railway Group)

Aneka utilizes idle desktops

(30) to decrease task time

from days to hours

Time

(in hrs)

Single

Server

Aneka

Cloud

Raw Locomotive Design Files

(Using AutoDesk Maya) Using Maya

Graphical Mode

Directly

Case 1: Single Server

4 cores

server

Aneka Maya Renderer

Use private

Aneka Cloud

GoFront Private Aneka

Cloud

LAN network

(Running Maya Batch Mode on demand)

Case 2: Aneka

Enterprise Cloud Manjrasoft

Application: Locomotive design CAD rendering

27

Manjrasoft

Providing a scalable architecture for TitanStrike on-line Gaming Portal

TitanStrike Private Aneka

Cloud

LAN network

(Running Game plugins on Demand) Case 2: Aneka Enterprise Cloud = Scalability

Aneka-based

GameController

The local schedulerinteracts with Aneka

and distributes the load in the cloud.

Manjrasoft

Distributed

log parsinglogs

logs

Case 1: Single Server = Huge Overload

Single schedulercontrolling the

execution of all the matches.

Game Servers

Gamers profilesPlayers statisticsTeam playingMultiple games

Titan Strike On Line

Gaming Portal

Centralized

log parsing

logs

logs

Single

GameController

Nebula is a Virtual Machine (VM) Hosting for Department of computer engineering, Kasetsart University

Objective Lower the maintenance cost

Reduce power consumption

Reduce space usage

Provide more dynamic on demand services

6 x Virtual Machine Host HP ProLiant ML150 G5 CPU Intel Xeon Quad-Core E5420 2.50 GHz RAM 16 GB DDR2/667MHz HDD 250 GB 7200 RPM SATA

1 x Storage Node HP ProLiant ML350 G5 CPU Intel Xeon Quad-Core E5420 2.50 GHz RAM 4 GB DDR2/667MHz HDD 2 TB Hardware RAID-5 (5x 500 GB 7200

RPM SATA)

6 x Virtual Machine Host Ubuntu Server 9.04 VMware Server

1 x Storage Node Ubuntu Server 9.04 NFS Server LAMP for website

Virtual Machine running on (VM) VM Node 1 – 6

VM Configuration an Virtual Disk can be kept on local Disk or on global shared storage

Local Disk is on VM Node Nebula use shared FS

using NFS from Storage Node (RAID-5)

VM on shared storage can be easily moved

Use VMware Remote Console (browser plug-in)

Private cloud is used for research and education

User request VM at http://nebula.cpe.ku.ac.th/

Admin reply with IP Address, Username and Password to access VM

Usage Web and information services for

each lab Test and development Database HPC using Virtual Cluster on the

Cloud

Source: “Above the Clouds: A Berkeley View of Cloud Computing”, RAD lab, UC Berkeley

Cloud computing is at an early stage Public cloud available from many vendors

such as Amazon EC2, Google App Private and Hybrid cloud is a coming trends Cloud computing is still Need standard for things such as programming

API, Security mechanism One of the technology with high potential

that everyone should follow the development.

Complex decisions

to make?

Manjrasoft Aneka

Storage Cloud

Compute Cloud

Storage Cloud

Compute Cloud

Directory

Bank

Auctioneer

Global Cloud

Exchange

Enterprise Resource Manager (Proxy)

Broker 1

Enterprise IT Consumer

Publish OffersRequest Capacity

Negotiate/Bid

Broker N

.

.

.

.

Open Cirrus is an open cloud-computing research testbed designed to support research into the design, provisioning, and management of services at a global, multi-datacenter scale.