Welcome!

@CloudExpo Authors: Yeshim Deniz, Liz McMillan, Pat Romanski, Elizabeth White, Zakia Bouachraoui

News Feed Item

Research and Markets: How Many IOPS (Input/Output Operations Per Second) Do You Really Need? New Reports Examines the Apllications such as IOPS, Latency and Capacity

Research and Markets (http://www.researchandmarkets.com/research/75r4zx/how_many_iops_do) has announced the addition of the "How Many IOPS Do You Really Need?" report to their offering.

IT professionals find it difficult to determine which SSD or flash array to buy or even whether they can get the speed they need from standard HDDs. There is an extraordinarily wide rage of IOPS (from hundreds to millions), latencies, and capacities, and this can be confusing. This report will provides, through a survey of over 100 IT managers and other end users, an idea of the needs of various applications including IOPS, latency, and capacity.

The 80-page report, jointly produced by Objective Analysis and Coughlin Associates, dissects the results of a months-long on-line survey of IT managers which collected their inputs on the IOPS, capacity, and latency needs for a number of key enterprise applications. Through its 54 figures and eight tables the study sheds new light on the speed requirements for certain key applications like OLTP, database management, and cloud services.

Key Topics Covered:

Executive Summary

Survey Objective

- Why did we do this

- Methodology

- Margin of Error

- Anticipated Outcome

Storage Devices and their characteristics

- SSDs, and Flash memory vs. DRAM

- Caching/Tiering vs. Determinism

Raw Results

- IOPS Requirements

- Fast Capacity Requirements

- Impact of Other System Bottlenecks

- Minimum Useful Latency

- Comparing the Results

- - IOPS vs. Capacity

- - Latency vs. Capacity

- - IOPS vs. Latency

Application Sensitivities

- Database Systems

- - Metadata Servers

- - Data Warehousing and Search

- - Internet Server Caching

- On Line Transaction Processing (OLTP)

- - Charge Card Processing

- - Reservations Systems

- - Algorithmic Trading

- - Currency Exchange and Arbitrage

- - Inter-Bank Transfers

- - Other On-Line Transaction Processing Applications

- Cloud or Storage Services

- - Real Time Data/Feed Processing

- - Contextual Web Advertising

- Scientific or Engineering

- - Electronic Design Automation & Modeling

- - Weather/Life Sciences

- - Aerodynamics Design

- - Nuclear Fission Models

- - Software Development

IOPS Requirements by Application

The Monetary Value of Higher IOPS Figures

How the Market Should Develop

For more information visit http://www.researchandmarkets.com/research/75r4zx/how_many_iops_do

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also received the prestigious Outstanding Technical Achievement Award three times - an accomplishment befitting only the most innovative thinkers. Shankar Kalyana is among the most respected strategists in the global technology industry. As CTO, with over 32 years of IT experience, Mr. Kalyana has architected, designed, developed, and implemented custom and packaged software solutions across a vast spectrum o...
Today, we have more data to manage than ever. We also have better algorithms that help us access our data faster. Cloud is the driving force behind many of the data warehouse advancements we have enjoyed in recent years. But what are the best practices for storing data in the cloud for machine learning and data science applications?
Andi Mann, Chief Technology Advocate at Splunk, is an accomplished digital business executive with extensive global expertise as a strategist, technologist, innovator, marketer, and communicator. For over 30 years across five continents, he has built success with Fortune 500 corporations, vendors, governments, and as a leading research analyst and consultant.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.