Click here to close now.


Eclipse Authors: Liz McMillan, XebiaLabs Blog, Ken Fogel, Sematext Blog, Marcin Warpechowski

News Feed Item

Fujitsu Develops World's First Stream Aggregation Technology to Rapidly Process Both Historical Data and Incoming Data

Kawasaki, Japan, Nov 19, 2012 - (JCN Newswire) - Fujitsu Laboratories Limited announced development of the world's first stream aggregation technology able to rapidly process both stored historical data and incoming streams of new data in a big data context.

The nature of big data requires that enormous volumes of data be processed at a high speed. When data is aggregated, longer aggregation times result in larger data volumes to be processed. This means computation times lengthen, which causes frequent updating operations to become more difficult. This is why improving the frequency of updates when aggregation times are lengthened has so far been challenging. Fujitsu Laboratories has therefore developed a technology that returns computation results quickly and manages snapshot operations, without re-doing computations or re-reading a variety of data types that change over time. As a result, even with high-frequency updating and long aggregation times, data can be processed 100 times faster than before.

This technology promises to improve both large volumes of batch processing and the processing of streaming data. Furthermore, in meteorology, it is now possible to show concentrated downpours in specific areas. As well as the utility gained for future weather forecasting, it may also have uses in new fields that demand the ability to process longitudinal data in real time.

Details of this technology will be announced at a special workshop lecture of the Special Interest Group on Software Interprise Modeling (SWIM) of the Institute of Electronics, Information and Communication Engineers (IEICE) held on Friday, November 30, at the Takanawa campus of Tokai University in Japan.


Many companies are interested in using advanced ICT technology to improve their competitive position by rapidly processing large volumes of data. Some uses are large-scale batch processes performed periodically on transaction data, or processing streaming data in real time based on changing stock prices.

In the data processing of such activities, aggregating computations is essential. In large-volume batch processing, however, there are differences in the aggregation times and update frequency. Typically, large-volume batch processes that emphasize throughput operate on aggregation times lasting weeks or months. Streaming data processes emphasize response, on the other hand, and are in units of seconds or minutes. Update times roughly correspond with these.

Technological Challenges

The emphasis on batch processes and streaming processes is different, and therefore the process needs to be adapted according to application.

1. Large-volume batch processing technology

Large-volume batch processing handles large volumes of historical data, so each round of processing re-reads all data, which creates long delays before results are ready.

2. Conventional stream processing technology

The constant flow of data is held in a buffer - known as a window - and therefore each round of processing does not need to re-read any earlier data. Depending on the type of computation, however, the process does need access to all the data in that window in order to obtain computation results. For this reason, the duration of one round of computations will be proportionate to the window length, which diminishes responsiveness.

When using both historical (stored) and current (realtime streaming) data, with conventional processing methods, it has been difficult to simultaneously lengthen the aggregation intervals and raise the frequency of updates for the reasons outlined above.

Newly Developed Technology

Fujitsu Laboratories has developed a fast stream aggregation technology for long aggregation intervals and frequent updates, based on a combination of the two technologies described below.

1. Rapid pattern matching technology:

This is a technology that efficiently and directly picks out relevant items from an incoming stream of data. The conventional technique begins by analyzing the structure of input data and temporarily accumulating all input data in the memory. Next, it performs an extraction process of the items needed for aggregation to extract data. Structural analysis and item extraction is necessarily a two-step process. This technology is different in that it specifies the positions where items to be extracted will appear based on pattern matching, skipping over unneeded items thereby speeding up the process. Also, because pattern-matching is flexible, as well as using it with fixed-format data (such as CSV data) that conventional techniques use, it can work with other forms of data having recursive or hierarchical structures (such as XML data).

2. Snapshot operation management technology:

This is a technology that quickly returns computation results to deal with a variety of data types that change over time, without re-reading or re-computing data. The conventional technique is to store in memory an incoming stream of data following its time sequence. This technology stores the data even as it performs required computations, such as sorting according to a predefined order. It is always managed based on its computed state (snapshot operation), and therefore never needs to redo computations that involve all the data, including not only sums and averages but also minima, maxima, and medians. This lets it quickly pick out computation results.


The response time for aggregation results when using a window length of 500,000 records was shown to be roughly 100 times faster than the commonly used open-source Complex Event Processing engine. It was also demonstrated that response time does not depend on window length (Figure 3).

This technology is expected to have applications with regard to the utilization of high-precision sensor data. Fujitsu Laboratories conducted verification of the technology using rainfall data generated by XRAIN(1), a project conducted by the Water and Disaster Management Bureau of the Ministry of Land, Infrastructure, Transport and Tourism. In the case of aggregating rainfall volume data collected over several hours from 500,000 locations in the Kansai region of western Japan, every several minutes a window of approximately 100 million records needs to be processed. The test conducted by Fujitsu Laboratories confirmed the technology's ability to execute data aggregation within intervals and no variation in aggregation times, and that the smooth movement of the rainfall area could be replicated, even for such a wide range of data. More than a sudden downpour, the actual volume of rainfall is what is strongly associated with disasters, and now, areas that require vigilance due to concentrated downpours can be readily verified.

Moreover, applications are anticipated for existing batch processing and stream processing. By enhancing the real-time aggregation of sales data, for example, it becomes possible to further strengthen production and inventory management.

Future Plans

Fujitsu plans to incorporate the new technology into its Big Data Platform and Big Data Middleware in fiscal 2013.

(1) Rainfall data generated by XRAIN:Rainfall data generated by the X-band MP Radar Rainfall Data, or XRAIN project, conducted by the Ministry of Land, Infrastructure, Transport and Tourism. XRAIN seeks to maintain extremely localized weather data, capturing rainfall data every 250 meters at one-minute intervals over a wide area.

About Fujitsu Laboratories

Founded in 1968 as a wholly owned subsidiary of Fujitsu Limited, Fujitsu Laboratories Limited is one of the premier research centers in the world. With a global network of laboratories in Japan, China, the United States and Europe, the organization conducts a wide range of basic and applied research in the areas of Next-generation Services, Computer Servers, Networks, Electronic Devices and Advanced Materials. For more information, please see:

About Fujitsu Limited

Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Over 170,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE:6702) reported consolidated revenues of 4.5 trillion yen (US$54 billion) for the fiscal year ended March 31, 2012. For more information, please see

Source: Fujitsu Limited

Fujitsu Limited
Public and Investor Relations

Technical Contacts

Fujitsu Laboratories Ltd.
Software Systems Laboratories
Intelligent Technology Lab
E-mail: [email protected]

Copyright 2012 JCN Newswire. All rights reserved.

More Stories By JCN Newswire

Copyright 2008 JCN Newswire. All rights reserved. Republication or redistribution of JCN Newswire content is expressly prohibited without the prior written consent of JCN Newswire. JCN Newswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
As more intelligent IoT applications shift into gear, they’re merging into the ever-increasing traffic flow of the Internet. It won’t be long before we experience bottlenecks, as IoT traffic peaks during rush hours. Organizations that are unprepared will find themselves by the side of the road unable to cross back into the fast lane. As billions of new devices begin to communicate and exchange data – will your infrastructure be scalable enough to handle this new interconnected world?
SYS-CON Events announced today that Super Micro Computer, Inc., a global leader in high-performance, high-efficiency server, storage technology and green computing, will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology is a premier provider of advanced server Building Block Solutions® for Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermi...
Nowadays, a large number of sensors and devices are connected to the network. Leading-edge IoT technologies integrate various types of sensor data to create a new value for several business decision scenarios. The transparent cloud is a model of a new IoT emergence service platform. Many service providers store and access various types of sensor data in order to create and find out new business values by integrating such data.
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, will show how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants will get the download information, scripts, and complete end-to-end walkthrough of the analysis from start to finish. Participants will also be given the pract...
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
WebRTC services have already permeated corporate communications in the form of videoconferencing solutions. However, WebRTC has the potential of going beyond and catalyzing a new class of services providing more than calls with capabilities such as mass-scale real-time media broadcasting, enriched and augmented video, person-to-machine and machine-to-machine communications. In his session at @ThingsExpo, Luis Lopez, CEO of Kurento, will introduce the technologies required for implementing these ideas and some early experiments performed in the Kurento open source software community in areas ...
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line loads.
“In the past year we've seen a lot of stabilization of WebRTC. You can now use it in production with a far greater degree of certainty. A lot of the real developments in the past year have been in things like the data channel, which will enable a whole new type of application," explained Peter Dunkley, Technical Director at Acision, in this interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
Through WebRTC, audio and video communications are being embedded more easily than ever into applications, helping carriers, enterprises and independent software vendors deliver greater functionality to their end users. With today’s business world increasingly focused on outcomes, users’ growing calls for ease of use, and businesses craving smarter, tighter integration, what’s the next step in delivering a richer, more immersive experience? That richer, more fully integrated experience comes about through a Communications Platform as a Service which allows for messaging, screen sharing, video...
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 17th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal an...
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
WebRTC converts the entire network into a ubiquitous communications cloud thereby connecting anytime, anywhere through any point. In his session at WebRTC Summit,, Mark Castleman, EIR at Bell Labs and Head of Future X Labs, will discuss how the transformational nature of communications is achieved through the democratizing force of WebRTC. WebRTC is doing for voice what HTML did for web content.
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...