Click here to close now.

Welcome!

IBM Cloud Authors: Elizabeth White, Jason Bloomberg, AppDynamics Blog, Liz McMillan, Pat Romanski

News Feed Item

High Performance Computing Market [Server, Storage, Networking, Software (Middleware, Cluster & Fabric Management, Performance Optimization), Professional Services, Deployment Models, Price Bands] - Global Market Forecasts & Analysis (2013 - 2018)

NEW YORK, Feb. 10, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

High Performance Computing Market [Server, Storage, Networking, Software (Middleware, Cluster & Fabric Management, Performance Optimization), Professional Services, Deployment Models, Price Bands] - Global Market Forecasts & Analysis (2013 - 2018)
http://www.reportlinker.com/p01996180/High-Performance-Computing-Market-[Server-Storage-Networking-Software-Middleware-Cluster--Fabric-Management-Performance-Optimization-Professional-Services-Deployment-Models-Price-Bands]---Global-Market-Forecasts--Analysis-2013---2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Security_Systems

High Performance Computing Market [Server, Storage, Networking, Software (Middleware, Cluster & Fabric Management, Performance Optimization), Professional Services, Deployment Models, Price Bands] - Global Market Forecasts & Analysis (2013 - 2018)

High-Performance Computing (HPC) delivers high performance by aggregation of several computing nodes coupled together to solve large complex problems in science, engineering, and businesses. Typically, HPC machine comprises of several components such as processors, memory disk, operating system, and various software to boost the performance of the entire machine. The performance of these computing clusters is dependent upon the number of cores which enhances the overall processing capability. Presently in the HPC market, the vast sums of money have been invested in supercomputers which are being used for specialized complex problems and require extensive expertise to use. The increasing supercomputers market is complimenting the HPC market growth. New technological innovations from the companies are also adding up to the increasing supercomputers capabilities.

Currently available HPC solutions are helping most of the government organizations and large enterprises. The government organizations and enterprises are using these systems for solving complex computational problems. Along with the government, academic institutions are also using these systems, for innovating new technologies and developing new products.

The major challenge which is being faced by the companies is to overcome the problems of energy efficiency and high latency. However, most of the companies are trying to innovate new technologies to seek for the best possible solution for their HPC clusters. One of the other main challenges in this industry is the rising cost of compute resources, the typical cost of supercomputers can vary from $500,000 and more, thus it becomes difficult for Small and Medium-Sized Enterprises (SMEs) to adopt this technology.

The report on HPC analyzes the overall market, by types of components and professional services, deployment types, and price bands. The report also focuses on end-users and the regions of North America (NA), Europe (EU), Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America (LA).

1 INTRODUCTION 18

1.1 KEY TAKE-AWAYS 18
1.2 REPORT DESCRIPTION 18
1.3 MARKETS COVERED 19
1.4 STAKEHOLDERS 20
1.5 RESEARCH METHODOLOGY 20
1.5.1 KEY DATA POINTS 20
1.5.2 DATA TRIANGULATION AND FORECASTING 22
1.5.3 FORECAST ASSUMPTIONS 23

2 EXECUTIVE SUMMARY 24

2.1 ABSTRACT 24
2.2 OVERALL MARKET SIZE 25

3 MARKET OVERVIEW 27

3.1 MARKET DEFINITION 27
3.2 MARKET EVOLUTION 27
3.3 MARKET SEGMENTATION 28
3.4 MARKET DYNAMICS 29
3.4.1 DRIVERS 29
3.4.1.1 Increase in Complex Applications 29
3.4.1.2 Emergence of Big Data Market 30
3.4.2 RESTRAINTS 30
3.4.2.1 Power and Cooling 30
3.4.2.2 Increasing Cost of Compute Resources 30
3.4.3 OPPORTUNITIES 31
3.4.3.1 New High Performance Computing Deployment Models 31
3.4.3.2 Transition from Petaflops Computing to Exascaling 31
3.4.4 IMPACT ANALYSIS OF DROS 32
3.5 VALUE CHAIN 33

4 HIGH PERFORMANCE COMPUTING: MARKET SIZE AND FORECAST BY TYPES OF COMPONENTS AND PROFESSIONAL SERVICES 34

4.1 INTRODUCTION 35
4.2 MARKET SIZE BY COMPONENTS 35
4.2.1 SERVERS 37
4.2.2 STORAGE 38
4.2.3 NETWORKING DEVICES 39
4.2.4 SOFTWARE 39
4.2.4.1 Middleware 41
4.2.4.2 Programming Tools 42
4.2.4.3 Performance Optimization Tools 43
4.2.4.4 Cluster Management 44
4.2.4.5 Fabric Management 45
4.3 MARKET SIZE & FORECAST: BY PROFESSIONAL SERVICES 46
4.3.1 DESIGN AND CONSULTING 49
4.3.1.1 Overview 49
4.3.1.2 Market Size and Forecast 49
4.3.2 INTEGRATION AND DEPLOYMENT 50
4.3.2.1 Overview 50
4.3.2.2 Market Size and Forecast 50
4.3.3 TRAINING AND OUTSOURCING 51
4.3.3.1 Overview 51
4.3.3.2 Market Size and Forecast 51

5 HIGH PERFORMANCE COMPUTING: MARKET SIZE AND FORECAST BY DEPLOYMENT MODELS AND PRICE BANDS 53

5.1 INTRODUCTION 54
5.2 HIGH PERFORMANCE COMPUTING: MARKET SIZE AND FORECAST BY DEPLOYMENT MODELS 54
5.2.1 INTRODUCTION 54
5.2.2 ON-PREMISE 56
5.2.2.1 Overview 56
5.2.2.2 Market Size and Forecast 56
5.2.3 CLOUD 57
5.2.3.1 Overview 57
5.2.3.2 Market Size and Forecast 57
5.3 HIGH PERFORMANCE COMPUTING: MARKET SIZE AND FORECAST BY PRICE BANDS 58
5.3.1 INTRODUCTION 58
5.3.2 $250,000-$500,000 AND ABOVE 60
5.3.2.1 Overview 60
5.3.2.2 Market Size and Forecast 60
5.3.3 $249,000-100,000 AND BELOW 61
5.3.3.1 Overview 61
5.3.3.2 Market Size and Forecast 61

6 HIGH PERFORMANCE COMPUTING: MARKET SIZE AND FORECAST BY TYPES OF END USERS 62

6.1 INTRODUCTION 63
6.2 MANUFACTURING 65
6.2.1 OVERVIEW 65
6.2.2 MARKET SIZE AND FORECAST 65
6.3 LIFE SCIENCES 66
6.3.1 OVERVIEW 66
6.3.2 MARKET SIZE AND FORECAST 67
6.4 ENERGY AND NATURAL RESOURCES 68
6.4.1 OVERVIEW 68
6.4.2 MARKET SIZE AND FORECAST 69
6.5 CHEMICAL 70
6.5.1 OVERVIEW 70
6.5.2 MARKET SIZE AND FORECAST 71
6.6 GOVERNMENT AND DEFENSE 72
6.6.1 OVERVIEW 72
6.6.2 MARKET SIZE AND FORECAST 73
6.7 ACADEMIC INSITUTIONS 74
6.7.1 OVERVIEW 74

6.7.2 MARKET SIZE AND FORECAST 75
6.8 BANKING, FINANCIAL SERVICES AND INSURANCE (BFSI) 77
6.8.1 OVERVIEW 77
6.8.2 MARKET SIZE AND FORECAST 77
6.9 MEDIA AND ENTERTAINMENT 79
6.9.1 OVERVIEW 79
6.9.2 MARKET SIZE AND FORECAST 79
6.10 GAMING 81
6.10.1 OVERVIEW 81
6.10.2 MARKET SIZE AND FORECAST 81
6.11 TRANSPORTATION AND LOGISTICS 82
6.11.1 OVERVIEW 82
6.11.2 MARKET SIZE AND FORECAST 83
6.12 RETAIL 85
6.12.1 OVERVIEW 85
6.12.2 MARKET SIZE AND FORECAST 85
6.13 WEATHER 86
6.13.1 OVERVIEW 86
6.13.2 MARKET SIZE AND FORECAST 87
6.14 WEB 89
6.14.1 OVERVIEW 89
6.14.2 MARKET SIZE AND FORECAST 89
6.15 OTHERS 91
6.15.1 OVERVIEW 91
6.15.2 MARKET SIZE AND FORECAST 91

7 HIGH PERFORMANCE COMPUTING: MARKET SIZE AND FORECAST BY REGIONS 93

7.1 INTRODUCTION 94
7.2 NORTH AMERICA 97
7.2.1 OVERVIEW 97
7.2.2 MARKET SIZE AND FORECAST 97
7.3 EUROPE 100
7.3.1 OVERVIEW 100
7.3.2 MARKET SIZE AND FORECAST 100
7.4 ASIA PACIFIC 103
7.4.1 OVERVIEW 103
7.4.2 MARKET SIZE AND FORECAST 103
7.5 MIDDLE EAST AND AFRICA 106
7.5.1 OVERVIEW 106
7.5.2 MARKET SIZE AND FORECAST 106
7.6 LATIN AMERICA 109
7.6.1 OVERVIEW 109
7.6.2 MARKET SIZE AND FORECAST 109

8 HIGH PERFORMANCE COMPUTING: MARKET LANDSCAPE 112

8.1 MARKET OPPORTUNITY ANALYSIS 112
8.1.1 END USER ANALYSIS 113
8.1.1.1 Increase in the Number of Supercomputers by Regions 113

9 COMPANY PROFILES 114
(MnM View, Overview, Products & Services, Financials, Strategy & Analyst Insights)*

9.1 AMD 114
9.2 BULL 117
9.3 CISCO 120
9.4 CRAY 124
9.5 DELL 127
9.6 FUJITSU 131
9.7 HITACHI DATA SYSTEMS 135
9.8 HP 139
9.9 IBM 143
9.10 INTEL 147
9.11 MICROSOFT 151
9.12 NETAPP 155

9.13 ORACLE 159
9.14 SILICON GRAPHICS INTERNATIONAL CORPORATION (SGI) 163
*Details on MarketsandMarkets View, Overview, Products & Services, Financials & Analyst Insights might not be captured in case of unlisted companies.
9.15 KEY INNOVATORS 166
9.15.1 ASETEK 166
9.15.2 CHELSIO COMMUNICATION 166
9.15.3 CYCLE COMPUTING 167
9.15.4 PANASAS 167
9.15.5 PENGUIN CONSULTING 168
9.15.6 SABALCORE COMPUTING 168
9.15.7 SUPER MICRO COMPUTERS 169
9.15.8 TERASCALA 169
APPENDIX 171
MERGERS AND ACQUISITIONS (M&A) 171
VENTURE CAPITAL (VC) FUNDING 173

LIST OF TABLES

TABLE 1 HIGH PERFORMANCE COMPUTING MARKET SIZE AND FORECAST,
2013-2018 ($BILLION) 25
TABLE 2 HIGH PERFORMANCE COMPUTING MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($BILLION) 35
TABLE 3 HIGH PERFORMANCE COMPUTING MARKET SIZE, BY COMPONENTS, 2013-2018, ($BILLION) 36
TABLE 4 HPC: SERVERS MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 37
TABLE 5 HPC: STORAGE MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 38
TABLE 6 HPC: NETWORKING DEVICES MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 39
TABLE 7 HPC: SOFTWARE MARKET SIZE, BY TYPES, 2013-2018 ($MILLION) 40
TABLE 8 HPC: SOFTWARE MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 41
TABLE 9 MIDDLEWARE MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 42
TABLE 10 PROGRAMMING TOOLS MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 43
TABLE 11 PERFORMANCE OPTIMIZATION TOOLS MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 44
TABLE 12 CLUSTER MANAGEMENT MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 45
TABLE 13 FABRIC MANAGEMENT MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 46
TABLE 14 HPC: PROFESSIONAL SERVICES MARKET SIZE,BY TYPES,

2013-2018 ($MILLION) 47
TABLE 15 HPC: PROFESSIONAL SERVICES MARKET, 2013-2018 (Y-O-Y %) 47
TABLE 16 HPC: PROFESSIONAL SERVICES MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 48
TABLE 17 DESIGN AND CONSULTING SERVICES MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 49
TABLE 18 INTEGRATION AND DEPLOYMENT SERVICES MARKET SIZE,
BY REGIONS, 2013-2018 ($MILLION) 50
TABLE 19 TRAINING AND OUTSOURCING SERVICES MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 51
TABLE 20 HIGH PERFORMANCE COMPUTING MARKET SIZE, BY DEPLOYMENT,
2013-2018 ($BILLION) 54
TABLE 21 HIGH PERFORMANCE COMPUTING MARKET, BY DEPLOYMENT,
2013-2018 (Y-O-Y %) 55
TABLE 22 HPC: ON-PREMISE MARKET SIZE, BY REGIONS, 2013-2018 ($BILLION) 56
TABLE 23 HPC: CLOUD MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 57
TABLE 24 HIGH PERFORMANCE COMPUTING SERVER MARKET SIZE, BY PRICE BANDS, 2013-2018 ($BILLION) 58
TABLE 25 HIGH PERFORMANCE COMPUTING SERVER MARKET, BY PRICE BANDS,
2013-2018 (Y-O-Y %) 59
TABLE 26 $250,000-$500,000 AND ABOVE SERVERS MARKET SIZE,
BY DEPLOYMENT, 2013-2018 ($BILLION) 60

TABLE 27 $249,000-$100,000 AND BELOW SERVERS MARKET SIZE,
BY DEPLOYMENT, 2013-2018 ($MILLION) 61
TABLE 28 HIGH PERFORMANCE COMPUTING MARKET SIZE, BY TYPES OF END USERS, 2013-2018 ($MILLION) 63
TABLE 29 HPC: MANUFACTURING MARKET SIZE,BY COMPONENTS AND PROFESSIONAL SERVICES,2013-2018 ($MILLION) 65
TABLE 30 HPC: MANUFACTURING MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 66
TABLE 31 HPC: LIFE SCIENCES MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 67
TABLE 32 HPC: LIFE SCIENCES MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 68
TABLE 33 HPC: ENERGY AND NATURAL RESOURCES MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 69
TABLE 34 HPC: ENERGY AND NATURAL RESOURCES MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 70
TABLE 35 HPC: CHEMICAL MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 71
TABLE 36 HPC: CHEMICAL MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 72
TABLE 37 HPC: GOVERMENT AND DEFENSE MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 73
TABLE 38 HPC: GOVERMENT AND DEFENSE MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 74
TABLE 39 HPC: ACADEMIC INSITUTIONS MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 75
TABLE 40 HPC: ACADEMIC INSITUTIONS MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 76
TABLE 41 HPC: BFSI MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 77

TABLE 42 HPC: BFSI MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 78
TABLE 43 HPC: MEDIA AND ENTERTAINMENT MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 79
TABLE 44 HPC: MEDIA AND ENTERTAINMENT MARKET SIZE, BY REGIONS,
2013-2018 ($MILLION) 80
TABLE 45 HPC: GAMING MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 81
TABLE 46 HPC: GAMING MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 82
TABLE 47 HPC: TRANSPORTATION AND LOGISTICS MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 83
TABLE 48 HPC: TRANSPORTATION AND LOGISTICS MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 84
TABLE 49 HPC: RETAIL MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 85
TABLE 50 HPC: RETAIL MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 86
TABLE 51 HPC: WEATHER MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 87
TABLE 52 HPC: WEATHER MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 88
TABLE 53 HPC: WEB MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 89
TABLE 54 HPC: WEB MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 90

TABLE 55 HPC: OTHERS MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 91
TABLE 56 HPC: OTHERS MARKET SIZE, BY REGIONS, 2013-2018 ($MILLION) 92
TABLE 57 HIGH PERFORMANCE COMPUTING MARKET SIZE, BY REGIONS,
2013-2018 ($BILLION) 95
TABLE 58 HIGH PERFORMANCE COMPUTING MARKET, BY REGIONS,
2013-2018 (Y-O-Y %) 96
TABLE 59 NORTH AMERICA MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($BILLION) 97
TABLE 60 NORTH AMERICA MARKET SIZE, BY DEPLOYMENT,
2013-2018 ($BILLION) 98
TABLE 61 NORTH AMERICA MARKET SIZE, BY END USERS, 2013-2018 ($MILLION) 99
TABLE 62 EUROPE MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 100
TABLE 63 EUROPE MARKET SIZE, BY DEPLOYMENT, 2013-2018 ($BILLION) 101
TABLE 64 EUROPE MARKET SIZE, BY END USERS, 2013-2018 ($MILLION) 101
TABLE 65 ASIA-PACIFIC MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 103
TABLE 66 ASIA-PACIFIC MARKET SIZE, BY DEPLOYMENT, 2013-2018 ($BILLION) 104
TABLE 67 ASIA-PACIFIC MARKET SIZE, BY END USERS, 2013-2018 ($MILLION) 105
TABLE 68 MIDDLE EAST AND AFRICA MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 106
TABLE 69 MIDDLE EAST AND AFRICA MARKET SIZE, BY DEPLOYMENT,
2013-2018 ($MILLION) 107
TABLE 70 MIDDLE EAST AND AFRICA MARKET SIZE, BY END USERS,
2013-2018 ($MILLION) 108
TABLE 71 LATIN AMERICA MARKET SIZE, BY COMPONENTS AND PROFESSIONAL SERVICES, 2013-2018 ($MILLION) 109
TABLE 72 LATIN AMERICA MARKET SIZE, BY DEPLOYMENT,
2013-2018 ($MILLION) 110
TABLE 73 LATIN AMERICA MARKET SIZE, BY END USERS, 2013-2018 ($MILLION) 111
TABLE 74 HIGH-PERFORMANCE COMPUTING: M&A 171
TABLE 75 HIGH-PERFORMANCE COMPUTING: VC FUNDING 173

LIST OF FIGURES

FIGURE 1 HIGH PERFORMANCE COMPUTING: RESEARCH METHODOLOGY 21
FIGURE 2 HIGH PERFORMANCE COMPUTING: DATA TRIANGULATION 22
FIGURE 3 HIGH PERFORMANCE COMPUTING MARKET,
2013-2018 ($BILLION, Y-O-Y %) 25
FIGURE 4 HIGH PERFORMANCE COMPUTING: MARKET EVOLUTION 28
FIGURE 5 HIGH PERFORMANCE COMPUTING: MARKET SEGMENTATION 29
FIGURE 6 HIGH PERFORMANCE COMPUTING: TIME IMPACT ANALYSIS OF DROS 32
FIGURE 7 HIGH PERFOPRMANCE COMPUTING: VALUE CHAIN 33
FIGURE 8 HIGH PERFORMANCE COMPUTING MARKET, BY COMPONENTS,
2013-2018 (Y-O-Y %) 36
FIGURE 9 PROFESSIONAL SERVICES MARKET, 2013-2018 (Y-O-Y %) 48
FIGURE 10 HIGH PERFORMANCE COMPUTING MARKET, BY DEPLOYMENT,
2013-2018 (Y-O-Y %) 55
FIGURE 11 HIGH PERFORMANCE COMPUTING SERVER MARKET, BY PRICE BANDS,
2013-2018 (Y-O-Y %) 59
FIGURE 12 PARFAIT CHART 94
FIGURE 13 HIGH PERFORMANCE COMPUTING MARKET, BY REGIONS,
2013-2018 (Y-O-Y %) 96
FIGURE 14 HIGH PERFORMANCE COMPUTING: OPPORTUNITY PLOT 112
FIGURE 15 INCREASE IN THE NUMBER OF SUPERCOMPUTERS, BY REGIONS,
2013-2018 113

To order this report: High Performance Computing Market [Server, Storage, Networking, Software (Middleware, Cluster & Fabric Management, Performance Optimization), Professional Services, Deployment Models, Price Bands] - Global Market Forecasts & Analysis (2013 - 2018)
http://www.reportlinker.com/p01996180/High-Performance-Computing-Market-[Server-Storage-Networking-Software-Middleware-Cluster--Fabric-Management-Performance-Optimization-Professional-Services-Deployment-Models-Price-Bands]---Global-Market-Forecasts--Analysis-2013---2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Security_Systems

__________________________
Contact Clare: clare@reportlinker.com
US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
"People are a lot more knowledgeable about APIs now. There are two types of people who work with APIs - IT people who want to use APIs for something internal and the product managers who want to do something outside APIs for people to connect to them," explained Roberto Medrano, Executive Vice President at SOA Software, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Almost everyone sees the potential of Internet of Things but how can businesses truly unlock that potential. The key will be in the ability to discover business insight in the midst of an ocean of Big Data generated from billions of embedded devices via Systems of Discover. Businesses will also need to ensure that they can sustain that insight by leveraging the cloud for global reach, scale and elasticity.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
Building low-cost wearable devices can enhance the quality of our lives. In his session at Internet of @ThingsExpo, Sai Yamanoor, Embedded Software Engineer at Altschool, provided an example of putting together a small keychain within a $50 budget that educates the user about the air quality in their surroundings. He also provided examples such as building a wearable device that provides transit or recreational information. He then reviewed the resources available to build wearable devices at home including open source hardware, the raw materials required and the options available to power s...
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
Collecting data in the field and configuring multitudes of unique devices is a time-consuming, labor-intensive process that can stretch IT resources. Horan & Bird [H&B], Australia’s fifth-largest Solar Panel Installer, wanted to automate sensor data collection and monitoring from its solar panels and integrate the data with its business and marketing systems. After data was collected and structured, two major areas needed to be addressed: improving developer workflows and extending access to a business application to multiple users (multi-tenancy). Docker, a container technology, was used to ...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, data security and privacy.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will addresses this very serious issue of profound change in the industry.
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo, June 9-11, 2015, at the Javits Center in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be
Container frameworks, such as Docker, provide a variety of benefits, including density of deployment across infrastructure, convenience for application developers to push updates with low operational hand-holding, and a fairly well-defined deployment workflow that can be orchestrated. Container frameworks also enable a DevOps approach to application development by cleanly separating concerns between operations and development teams. But running multi-container, multi-server apps with containers is very hard. You have to learn five new and different technologies and best practices (libswarm, sy...
SYS-CON Events announced today that DragonGlass, an enterprise search platform, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. After eleven years of designing and building custom applications, OpenCrowd has launched DragonGlass, a cloud-based platform that enables the development of search-based applications. These are a new breed of applications that utilize a search index as their backbone for data retrieval. They can easily adapt to new data sets and provide access to both structured and unstruc...
The Internet of Things is a misnomer. That implies that everything is on the Internet, and that simply should not be - especially for things that are blurring the line between medical devices that stimulate like a pacemaker and quantified self-sensors like a pedometer or pulse tracker. The mesh of things that we manage must be segmented into zones of trust for sensing data, transmitting data, receiving command and control administrative changes, and peer-to-peer mesh messaging. In his session at @ThingsExpo, Ryan Bagnulo, Solution Architect / Software Engineer at SOA Software, focused on desi...
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...