9th avinash

8/13/2019 9th Avinash

1/17

SUMMER INTERNSHIP

MBAgeneral

2012 - 2014

AMITY BUSINESS SCHOOL,

AMITY UNIV ERSITY,LUCKNOW.


2/17

PROJECT DETAILS

P R O J E C T G U I D E ( S )

1 . I N D U S T RY: M R . S A C HI N G O S WA M I

2 . A C A D E M I C : P R O F. P R AV I N A G A RWA L

TATA CONSULTANCY SERVICES

Amity Business School,

Amity University,Lucknow.

Micron, USA- SSD Jobs

CATS: CDMI Automated Test Suit

Solace Systems: Analysis of Technology

Projects handled in STORAGE Domain


3/17

CATS: CDMI AUTOMATED TEST SUIT

Technologies used for the development

REST

JAX-RS & Jersey

Apache ANT

CDMI Automated Test Suit performs CRUD operations on the following objects:

Capability Object

Container Object

Data Object

Domain Object

Queue Object




4/17

CATS DEPLOYMENT

CLIENT SERVER

Request

(From CDMI Client-requests CRUD operations

TCS CATS CDMI Supported Cloud Storage

Artifacts:

Test Plan,

Test Specification,

Test Script, Platform Independent Support for CDMI & Non CDMI

Test log file

Test Report




5/17

CHALLENGES IN DEVELOPMENT

The challenges may be summed up as follows:

For interoperable CDMI compliant cloud products, CATS requires multiple servers

for successful testing of a test case scenario.

Also, there are multiple versions of CDMI specification available. In such cases, test

cases should be successful in earlier versions as well as newer versions.

CATS must be extensible & flexible enough to incorporate the changes involved.

CATS should be able to handle ambiguities involved in CDMI specification document.

It might not be able to incorporate maximum possible test case scenarios due to lack

of examples in CDMI specification document and imperfectness in imagination.




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The Need for Speed:

Why architectures are shifting

from software to hardware




7/17

Business Overview OverviewSolace Systems is a middleware company based in Kanata, Ontario,

Canada that manufactures and sells message-oriented middleware

appliances. Messaging middleware appliances are rack-mountable

network devices that implement messaging functionality in purpose-

built hardware. The company claims that implementing these functions

in hardware enables higher throughput and lower, more consistentlatency than software alternatives.

Major Competitors : The company's major competitors areInformatica,

Tervela, TIBCO Software, andIBM(with their Web Sphere MQ Low

Latency Messaging products).

Primary Value Proposition

Reduce the cost and complexity of

information distribution.

Reduced architectural complexity.

Reduced resource consumption.

Reduced operating expenses.

Reduced cost to deploy & operate.

More environment friendly.

Accelerate information distribution even in the

face of increasing volume and volatility.

Supports high throughput.

Supports low latency.

Consistent & predictable performance




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Simplicity Fewer managed devices,Easy UpgradesUnified API, Rack it & Run it.

Saving Consolidation Devices,Virtualization,Unification of messaging platform.

Speed Silicon instead of software, Unicast advantage,Reliable & guaranteed messaging,

JMS, WAN, shared memory IPC

Stability Fault Tolerance,Monitoring & Management,Security.

Scalability Linear Scalability,Modular Device,Networked Architecture

Value Proposition




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INFRASTRUCTURE CONSOLIDATION

FrontOffice

Back Office

Low LatencyMarket Data

AlgorithmicSystems

ComplexEvent Processing

CRM/MobileAlerting

OrderRouting

TradeSettlement

InterbankTransactions

ESB/Web

Services

Market DataFanout

DatabaseSynchronization

GlobalWAN

Content-Aware

Network

IP

Network


Amity University,

Lucknow.


10/17

CONTENT-AWARE HARDWARESoftware Infrastructure Hardware Infrastructure

Messaging Throughput(msgs/sec)

Tens of

thousands

Millions

Messaging Latency(at 50% of peak load)

Milliseconds

Microseconds

Content Routing(number of rules)

Few

Thousands

Millions

Content Routing Latency(with 1000+ content rules)

Seconds

Microseconds

Persistent Messaging(msgs/second)

A Few

Thousand

>100

Thousand

Transformations(sustained throughput)

MB/sec

GB/sec




11/17

Middleware in Hardware

10x-100x faster than software

Predictable performance & latency (with load)

Detailed operational visibility

RoutingBlade

TransformationBlade

NetworkAcceleration

Blade

AssuredDeliveryModule

Internal Architecture




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Addressing Latency Throughout the System

RemoteSites

AlgoEngines

DashboardDisplays

Exchange

Gateways

RiskEngines

Historical &

Audit DBs

FeedHandlers

Exchanges

RELI BLE

Guaranteed

W N

IPCCo-hosted

Feedhandler

with Algos




13/17

Guaranteed Messaging

Publisher Subscriber

If subscriber available,

message is delivered

immediately3b

If subscriber is slow

or disconnected, their backlog

is spooled to disk,

delivered as soon as

client is able to receive

RedundantMate

Disk Array

Receipt acknowledgedsince message is

guaranteed

3a

Message

persisted

in on-boardRAM

Message and state

replicated to mate,

which confirms receipt

2

s

Messages/Second

99.9thPercentileAverage

Low, Consistent LatencyEven Under Load

1

3a

4

2




14/17

Addressing Latency Throughout the System

RemoteSites

AlgoEngines

DashboardDisplays

Exchange

Gateways

RiskEngines

Historical &

Audit DBs

FeedHandlers

Exchanges

RELI BLE

Guaranteed

W N

IPCCo-hosted

Feedhandlerwith Algos




15/17


Amity University,

Lucknow.

Market Data Distribution

WAN

Market Data

Feeds

Traders

Customers

Algorithmic

Engines

Distribution

Servers

With MiddlewareSoftware

LAN

WAN

Market

Data

Feeds

With Content-AwareHardware

Content

Distribution

Server reduction, better performance, simpler operations

B k Offi D S h i i


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Server-Based

Back-Office Data Synchronization

Oracle

Oracle

Oracle

Network-Based

Appl icat ions

Sybase

Oracle

SQL Server

Decoupled sources, reduced load on servers & efficient network


Amity University,

Lucknow.


17/17


Amity University,Lucknow

Summary

Cost- shared application infrastructure

Performance: Optimum Throughput & Latency

Architecture: Content-Aware Hardware

Emphasis on the five S

Infrastructure Consolidation

Unified APIOpen Source Support

SIMPLICITY

SAVING

SPEED

STABILITY

SCALABILITY

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