Home
Schedule
Conference Info
Sponsorship Information
IBM Watson AI Day
Registration
Press Registration
Speakers
Sessions
Sponsors
Exhibitors
JETRO × Six Prefectures of Japan Pavilion Exhibitors
  Media Sponsors
  Topics
  Call For Papers
  Hotel Info
  Past Events
Untitled Document
2017 West
Premium Sponsors
Diamond



Platinum
@DevOpsSummit

Bronze










Untitled Document
2017 West
Keynote Sponsor


Untitled Document
2017 West Exhibitors
























@ThingsExpo











Untitled Document
2017 West Media Sponsors














Untitled Document
2017 East
Premium Sponsors
Diamond



Platinum
@DevOpsSummit

@DevOpsSummit

Silver
@DevOpsSummit


Bronze










Untitled Document
2017 East Exhibitors
@DevOpsSummit




































Untitled Document
2017 East Media Sponsors
















Untitled Document
2016 West
Premium Sponsors
Platinum Plus



Silver
@ThingsExpo

Bronze







Untitled Document
2016 Welcome Reception Sponsor

Untitled Document
2016 West Exhibitors










@DevOps Summit






@DevOps Summit

@WebRTC Summit












@WebRTC Summit









@DevOps Summit

Untitled Document
2016 West Media Sponsors











Untitled Document
2016 East Gold Sponsors

@ThingsExpo

Untitled Document
2016 East Silver Sponsors


@DevOps Summit

Untitled Document
2016 East Bronze Sponsors

Cloud Expo







Cloud Expo

Untitled Document
2016 East Vendor Presentation Sponsors

@DevOps Summit

Untitled Document
2016 East Exhibitors

@DevOps Summit





@ThingsExpo



@DevOps Summit

@ThingsExpo


@DevOps Summit









@DevOps Summit







@DevOps Summit










Untitled Document
2016 East Media Sponsors










Untitled Document
2015 West Gold Sponsors

Untitled Document
2015 West Silver Sponsor


Untitled Document
2015 West Bronze Sponsors

Cloud Expo |@ThingsExpo

Cloud Expo | DevOps Summit


@ThingsExpo





@DevOps Summit

@ThingsExpo


@ThingsExpo

 


Untitled Document
2015 West Exhibitors












@DevOps Summit





@DevOps Summit












@DevOps Summit

@DevOps Summit




@ThingsExpo


@DevOps Summit

 


Untitled Document
2015 West E-Bulletin Sponsors

DevOps Summit

Untitled Document
2015 West
Associate Sponsor

Untitled Document
2015 West Media Sponsor

Untitled Document
2015 East Gold Sponsors


WebRTC Summit

DevOps Summit

Untitled Document
2015 East Silver Sponsors
DevOps Summit
WebRTC Summit

Untitled Document
2015 East Bronze Sponsors

DevOps Summit

Cloud Expo | DevOps Summit
@ThingsExpo

DevOps Summit

DevOps Summit

Untitled Document
2015 East Delegate Bag Sponsors


Untitled Document
2015 East Exhibitors

DevOps Summit


@ThingsExpo



DevOps Summit






Cloud Expo | @ThingsExpo
Internet of @ThingsExpo
@ThingsExpo
DevOps Summit

DevOps Summit
@ThingsExpo
DevOps Summit
DevOps Summit
DevOps Summit
DevOps Summit
DevOps Summit



@ThingsExpo

Untitled Document
2015 East Associate Sponsor

Untitled Document
2015 East
Media Sponsors

A Brief History of Cloud Computing: Is the Cloud There Yet?
A look at the Cloud's forerunners and the problems they encountered

Paul Wallis's Blog

In order to discuss some of the issues surrounding The Cloud concept, I think it is important to place it in historical context. Looking at the Cloud's forerunners, and the problems they encountered, gives us the reference points to guide us through the challenges it needs to overcome before it is adopted.

Nick Carr recently commented on IBM's new initiative called Project KittyHawk, which sets out to use their Blue Gene technology. The project aspires to create a “global-scale shared computer capable of hosting the entire Internet as an application”.

There have been a range of online discussions on the back of the article as, once again, Nick Carr manages to hit more than a couple of raw nerves.

The premise of the article is that IBM Blue Gene technology is creating computers of such power that data centres can offer vast amounts of computational power that businesses can plug into and use according to need at a particular time.

These supercomputers can emulate many individual smaller servers (virtualisation) so businesses can migrate their IT services to this new model.

Rather than data centres just offering a place to put your own servers, they can start to offer virtual servers or services, enabling new business models to be adopted.

The IBM technology is so fast that Project Kittyhawk can emulate the entire internet.

In the past, there have been two ways of creating a supercomputer. Firstly, there is the Blue Gene style approach, which creates a massive computer with thousands (or hundreds of thousands) of CPUs. The other approach, as adopted by Google, is to take hundreds of thousands of small, low cost, computers and hook them together in a “cluster” in such a way that they all work together as one large computer.

Basically, supercomputers have many processors plugged into a single machine, sharing common memory and I/O, while clusters are made up of many smaller machines, each of which contain a fewer number of processors with each machine having it's own local memory and I/O.

There have always been advocates on both sides of the fence, and Nick Carr's article has done a fine job of stirring them into action again - but this time it has become clear that the concept of “The Cloud” is gaining momentum, a concept whose origins lie in clustering and grid computing.

John Willis seeks to 'demystify' clouds and received some interesting comments. James Urquhart is an advocate of cloud computing and thinks that, as with any disruptive change, some people are in denial about The Cloud. He has responded to some criticism of his opinions. Bob Lewis, one of Urquhart's “deniers” has written a few posts on the subject and offers a space for discussion of Nick Carr's arguments.

In order to discuss some of the issues surrounding The Cloud concept, I think it is important to place it in historical context. Looking at the Cloud's forerunners, and the problems they encountered, gives us the reference points to guide us through the challenges it needs to overcome before it is adopted.

In the past computers were clustered together to form a single larger computer. This was a technique common to the industry, and used by many IT departments. The technique allowed you to configure computers to talk with each other using specially designed protocols to balance the computational load across the machines. As a user, you didn't care about which CPU ran your program, and the cluster management software ensured that the “best” CPU at that time was used to run the code.

In the early 1990s Ian Foster and Carl Kesselman came up with a new concept of “The Grid”. The analogy used was of the electricity grid where users could plug into the grid and use a metered utility service. If companies don't have their own powers stations, but rather access a third party electricity supply, why can't the same apply to computing resources? Plug into a grid of computers and pay for what you use.

Grid computing expands the techniques of clustering where multiple independent clusters act like a grid due to their nature of not being located in a single domain.

A key to efficient cluster management was engineering where the data was held, known as “data residency”. The computers in the cluster were usually physically connected to the disks holding the data, meaning that the CPUs could quickly perform I/O to fetch, process and output the data.

One of the hurdles that had to be jumped with the move from clustering to grid was data residency. Because of the distributed nature of the Grid the computational nodes could be situated anywhere in the world. It was fine having all that CPU power available, but the data on which the CPU performed its operations could be thousands of miles away, causing a delay (latency) between data fetch and execution. CPUs need to be fed and watered with different volumes of data depending on the tasks they are processing. Running a data intensive process with disparate data sources can create a bottleneck in the I/O, causing the CPU to run inefficiently, and affecting economic viability.

Storage management, security provisioning and data movement became the nuts to be cracked in order for grid to succeed. A toolkit, called Globus, was created to solve these issues, but the infrastructure hardware available still has not progressed to a level where true grid computing can be wholly achieved.

But, more important than these technical limitations, was the lack of business buy in. The nature of Grid/Cloud computing means a business has to migrate its applications and data to a third party solution. This creates huge barriers to the uptake.

In 2002 I had many long conversations with the European grid specialist for the leading vendor of grid solutions. He was tasked with gaining traction for the grid concept with the large financial institutions and, although his company had the computational resource needed to process the transactions from many banks, his company could not convince them to make the change.

Each financial institution needed to know that the grid company understood their business, not just the portfolio of applications they ran and the infrastructure they ran upon. This was critical to them. They needed to know that whoever supported their systems knew exactly what the effect of any change could potentially make to their shareholders.

The other bridge that had to be crossed was that of data security and confidentiality. For many businesses their data is the most sensitive, business critical thing they possess. To hand this over to a third party was simply not going to happen. Banks were happy to outsource part of their services, but wanted to be in control of the hardware and software - basically using the outsourcer as an agency for staff.

Traditionally, banks do not like to take risks. In recent years, as the market sector has consolidated and they have had to become more competitive, they have experimented outwith their usual lending practice, only to be bitten by sub-prime lending. Would they really risk moving to a totally outsourced IT solution under today's technological conditions?

Taking grid further into the service offering, is “The Cloud”. This takes the concepts of grid computing and wraps it up in a service offered by data centres. The most high profile of the new “cloud” services is Amazons S3 (Simple Storage Service) third party storage solution. Amazon's solution provides developers with a web service to store data. Any amount of data can be read, written or deleted on a pay per use basis.

EMC plans to offer a rival data service. EMCs solution creates a global network of data centres each with massive storage capabilities. They take the approach that no-one can afford to place all their data in one place, so data is distributed around the globe. Their cloud will monitor data usage, and it automatically shunts data around to load-balance data requests and internet traffic, being self tuning to automatically react to surges in demand.

However, the recent problems at Amazon S3, which suffered a “massive” outage in February, has only served to highlight the risks involved with adopting third party solutions.

So is The Cloud a reality? In my opinion we're not yet there with the technology nor the economics required to make it all hang together.

In 2003 the late Jim Gray published a paper on Distributed Computing Economics:

Computing economics are changing. Today there is rough price parity between (1) one database access, (2) ten bytes of network traffic, (3) 100,000 instructions, (4) 10 bytes of disk storage, and (5) a megabyte of disk bandwidth. This has implications for how one structures Internet-scale distributed computing: one puts computing as close to the data as possible in order to avoid expensive network traffic.

The recurrent theme of this analysis is that “On Demand” computing is only economical for very cpu-intensive (100,000 instructions per byte or a cpu-day-per gigabyte of network traffic) applications. Pre-provisioned computing is likely to be more economical for most applications - especially data-intensive ones.

If telecom prices drop faster than Moore's law, the analysis fails. If telecom prices drop slower than Moore's law, the analysis becomes stronger.

When Jim published this paper the fastest Supercomputers were operating at a speed of 36 TFLOPS. A new Blue Gene/Q is planned for 2010-2012 which will operate at 10,000 TFLOPS, out stripping Moore's law by a factor of 10. Telecom prices have fallen and bandwidth has increased, but more slowly than processing power, leaving the economics worse than in 2003.

I'm sure that advances will appear over the coming years to bring us closer, but at the moment there are too many issues and costs with network traffic and data movements to allow it to happen for all but select processor intensive applications, such as image rendering and finite modelling.

There has been talk of a two tier internet where businesses pay for a particular Quality of Service, and this will almost certainly need to happen for The Cloud to become a reality. Internet infrastructure will need to be upgraded, newer faster technologies will need to be created to ensure data clouds speak to supercomputer clouds with the efficiency to keep the CPUs working. This will push the telecoms costs higher rather than bringing them in line with Moore's Law, making the economics less viable.

Then comes the problem of selling to the business. Many routine tasks which are not processor intensive and time critical are the most likely candidates to be migrated to cloud computing, yet these are the least economical to be transferred to that architecture. Recently we've seen the London Stock Exchange fail, undersea data cables cut in the Gulf, espionage in Lithuania and the failure of the most modern and well-known data farm at Amazon.

In such a climate it will require asking the business to take a leap of faith to find solid footing in the cloud for mission critical applications.

And that is never a good way to sell to the business.

[This appeared originally here and is republished by kind permission of the author, who retains copyright.]

 

About Paul Wallis
Paul Wallis is Chief Technology Officer at Stroma Software Limited. He blogs at www.keystonesandrivets.com, where he tries to bridge the understanding gap between business and IT.

In order to post a comment you need to be registered and logged in.

Register | Sign-in

Reader Feedback: Page 1 of 1

Trackback Added: From Virtualization to cloud computing?; Over the last months, years (as virtualization grew big) more and more people started thinking again about Cloud Computing. Now cloud computing has been around for over decades, yet it has not been able to become mainstream. Possibly with the trend to ...


Presentation Slides
Traditional on-premises data centers have long been the domain of modern data platforms like Apache Hadoop, meaning companies who build thei...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously...

Register and Save!
Save $405
on your “Golden Pass”!
before October 30, 2017!
Call 201.802.3020


Santa Clara Call for Papers Open
Submit
submit your speaking proposal
for the upcoming WebRTC Summit in
Santa Clara!
[Oct 31- Nov 2, 2017]


WebRTC Summit 2017 West
Sponsorship Opportunities
Please Call
201.802.3021
events (at) sys-con.com
Sponsorship opportunities are now open for WebRTC Summit 2017 Santa Clara, Oct 31-Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, and for WebRTC Summit 2018 New York, June 5-7, 2018, at the Javits Center in New York, NY. For sponsorship, exhibit opportunities and show prospectus, please contact Carmen Gonzalez, carmen (at) sys-con.com.



WebRTC Summit Silicon Valley All-Star Speakers Include

MATTHIEU
Octoblu

MAHADEV
Cisco

MCCARTHY
Bsquare

FELICIANO
AMDG

PAUL
VenueNext

SMITH
Eviot

BEAMER
goTraverse

GETTENS
goTraverse

CHAMBLISS
ReadyTalk

HERBERTS
Cityzen Data

REITBAUER
Dynatrace

WILLIAM-
SON

Cloud
Computing

SCHMARZO
EMC

WOOD
VeloCloud

WALLGREN
Electric Cloud

VARAN-
NATH

GE

SRIDHARA-
BALAN

Pulzze

METRIC
Linux

MONTES
Iced

ARIOLA
Parasoft

HOLT
Daitan

CUNNING-
HAM

ReadyTalk

BEDRO-
SIAN

Cypress

NAMIE
Cisco

NAKA-
GAWA

Transparent
Cloud

SHIBATA
Transparent
Cloud

BOYD
Neo4j

WARD
DWE

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

BUTLER
Tego

ROWE
IBM Cloud

SKILLERN
Intel

SMITH
Numerex
WebRTC Summit New York All-Star Speakers Include

CLELAND
HGST

VASILIOU
Catchpoint

WALLGREN
Electric Cloud

HINCH-
CLIFFE

7Summits

DE SOUZA
Cisco

RANDALL
Gartner

ARM-
STRONG

AppNeta

SMALL-
TREE

Cazena

MCCARTHY
Bsquare

DELOACH
Infobright

QUINT
Ontegrity

MALAU-
CHLAN

Buddy Platform

PALIOTTA
Vector

MITRA
Cognizant

KOCHER
Grey Heron

PAPDO
POULOS

Cloud9

HARLAN
Two Bulls

GOLO
SHUBIN

Bit6

PROIETTI
Location
Smart

MARTIN
nfrastructure

MOULINE
Everbridge

MARSH
Blue Pillar

PARKS
SecureRF

PEROTTI
Plantronics

HOFFMAN
EastBanc

WATSON
Trendalyze

BENSON-
OFF

Unigma

SHAN
CTS

MATTELA
Redpine

GILLEN
Spark
Coginition

SOLT
Netvibes

BERN-
ARDO

GE Digital

ROMAN-
SKY

TrustPoint

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
-MAREVA

Google

SINGH
Sencha

CALKINS
Amadeus

KLEIN
Rachio

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

SNELL
Intel

LEVINE
CytexOne

ALLEN
Freewave

MCCAL-
LUM

Falconstor

HYEDT
Seamless

WebRTC Summit Silicon Valley All-Star Speakers Include

SCHULZ
Luxoft

TAM-
BURINI

Autodesk

MCCARTHY
Bsquare

THURAI
SaneIoT

TURNER
Cloudian

ENDO
Intrepid

NAKAGAWA
Transparent

SHIBATA
Transparent

LEVANT-LEVI
testRTC

VARAN NATH
GE

COOPER
M2Mi

SENAY
Teletax

SKEEN
Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-
JOVIC

AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLAL-
ANTORIO

DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBA-
CHEV

Intelligent
Systems

THYKAT-
TIL

Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
-WITHANA

WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOM-
BERG

Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCIN-
INNI

EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMING-
HAM

SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Download Cloud Expo Show Guide
Cloud Expo Show Guide
Download PDF

Join Us as a Media Partner - Together We Can Rock the IT World!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email Patricia Henderson at patricia@sys-con.com.

Digital Transformation Blogs
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to bus...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed by some of the world's largest financial institutions. The company develops and applies innovative ...
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by researching target group and involving users in the designing process.