Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Efficient Processing of Big Data on a Daily Routine Basis

10.06.2014

Computer systems today can be found in nearly all areas of life, from smartphones to smart cars to self-organized production facilities.

These computer systems supply rapidly growing data volumes. Computer science now faces the challenge of processing these huge amounts of data (big data) in a reasonable and secure manner. The new priority program “Algorithms for Big Data” (SPP 1736) funded by the German Research Foundation (DFG) is aimed at developing more efficient computing operations. The Institute of Theoretical Informatics of the Karlsruhe Institute of Technology (KIT) is involved in four of 15 partial projects of this SPP.   


By means of an algorithm, increasing networking of students on Facebook can be displayed according to their age. (Graphics: Michael Hamann, KIT)

As a result of new mobile technologies, such as smartphones or tablet PCs, use of computer systems increased rapidly in the past years. These systems produce increasing amounts of data of variable structure. However, adequate programs for processing these data are lacking. “The algorithms known so far are not designed for processing the huge data volumes associated with many problems. The new priority program is aimed at developing theoretically sound methods that can be applied in practice,” explains Assistant Professor Henning Meyerhenke, KIT.

So far, research relating to big data has focused on scientific applications, such as computer-supported simulations for weather forecasts. Now, KIT researchers are working on solutions to enhance the efficiency of computing processes, which can be applied on a daily routine basis. Examples are search queries on the internet or the structural analysis of social networks.

... more about:
»Algorithms »Big Data »SPP »encoding »networks »processing

Four KIT research groups participate in the priority program.

The priority program “Algorithms for Big Data” that is funded by the DFG for a period of six years covers several projects all over Germany. Among these projects are four of the KIT Institute of Theoretical Informatics.

The project “Rapid Inexact Combinatorial and Algebraic Solvers for Large Networks” of Assistant Professor Henning Meyerhenke addresses complex problems encountered in large networks. The tasks to be solved are motivated by biological applications. For example, individuals of a species can be networked according to the similarity of their genome and then classified. The new processes help classify the data arising with a reduced calculation expenditure. In this way, it is easier for biologists to derive new findings.

In the project “Scalable Cryptography” of Assistant Professor Dennis Hofheinz (KIT) and Professor Eike Klitz (Ruhr-Universität Bochum), work focuses on the security of big data. Cryptographic methods, such as encoding or digital signatures, guarantee security also in case of big data volumes. However, existing methods are difficult to adapt to the new tasks. The security provided by the RSA-OAEP encoding method used in conventional internet browsers, for instance, is insufficient in case of big data. “We are looking for a solution that stably guarantees security even in case of an increasing number of accesses and users,” says Assistant Professor Dennis Hofheinz, who is member of the Cryptography and Security Working Group at the KIT.

The increasingly growing social networks, such as Facebook or Twitter, produce large data accumulations. At the same time, these data are of high economic and political value. The project “Clustering in Social Online Networks” of Professor Dorothea Wagner (KIT) and Professor Ulrik Brandes (Universität Konstanz) starts at this point. With the help of new algorithms, the development of online communities in social networks shall be reproduced.

To search a big volume of data e.g. on the internet, a functioning tool, such as a good search machine, is indispensable. “The search machines used today can be further improved by algorithms of increased efficiency,” Professor Peter Sanders says, who also conducts research at the Institute of Theoretical Informatics. Within the framework of his project “Text Indexing for Big Data”, Sanders, together with Professor Johannes Fischer of the Technical University of Dortmund, is looking for optimization options. In particular, they plan to use many processors at the same time, while searching of data in strongly compressed form shall remain possible.

Big Data at the KIT

The topic of Big Data is of high relevance in various application scenarios. Not only science, but also users of new technologies are increasingly facing so far unknown problems. To manage these problems, the KIT works on various Big Data projects apart from SPP 1736. For instance, KIT is partner of the Helmholtz project “Large Scale Data Management and Analysis” (LSDMA). This project pools various competences in handling big data, as it covers effective acquisition, storage, distribution, analysis, visualization, and archiving of data.

In addition, the KIT has been operating the Smart Data Innovation Lab (SDIL), a platform for Big Data research, since 2014. The SDIL reaches highest performance and can be used in practice by industry and science. 

http://www.kit.edu/kit/english/pi_2014_15153.php

Monika Landgraf | AlphaGalileo

Further reports about: Algorithms Big Data SPP encoding networks processing

More articles from Information Technology:

nachricht 'Magic' sphere for information transfer
24.08.2015 | Lomonosov Moscow State University

nachricht Fraunhofer IPA develops prototype of intelligent care cart
20.08.2015 | Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: OU astrophysicist and collaborators find supermassive black holes in quasar nearest Earth

A University of Oklahoma astrophysicist and his Chinese collaborator have found two supermassive black holes in Markarian 231, the nearest quasar to Earth, using observations from NASA's Hubble Space Telescope.

The discovery of two supermassive black holes--one larger one and a second, smaller one--are evidence of a binary black hole and suggests that supermassive...

Im Focus: What would a tsunami in the Mediterranean look like?

A team of European researchers have developed a model to simulate the impact of tsunamis generated by earthquakes and applied it to the Eastern Mediterranean. The results show how tsunami waves could hit and inundate coastal areas in southern Italy and Greece. The study is published today (27 August) in Ocean Science, an open access journal of the European Geosciences Union (EGU).

Though not as frequent as in the Pacific and Indian oceans, tsunamis also occur in the Mediterranean, mainly due to earthquakes generated when the African...

Im Focus: Self-healing landscape: landslides after earthquake

In mountainous regions earthquakes often cause strong landslides, which can be exacerbated by heavy rain. However, after an initial increase, the frequency of these mass wasting events, often enormous and dangerous, declines, in fact independently of meteorological events and aftershocks.

These new findings are presented by a German-Franco-Japanese team of geoscientists in the current issue of the journal Geology, under the lead of the GFZ...

Im Focus: FIC Proteins Send Bacteria Into Hibernation

Bacteria do not cease to amaze us with their survival strategies. A research team from the University of Basel's Biozentrum has now discovered how bacteria enter a sleep mode using a so-called FIC toxin. In the current issue of “Cell Reports”, the scientists describe the mechanism of action and also explain why their discovery provides new insights into the evolution of pathogens.

For many poisons there are antidotes which neutralize their toxic effect. Toxin-antitoxin systems in bacteria work in a similar manner: As long as a cell...

Im Focus: Fraunhofer IPA develops prototype of intelligent care cart

It comes when called, bringing care utensils with it and recording how they are used: Fraunhofer IPA is developing an intelligent care cart that provides care staff with physical and informational support in their day-to-day work. The scientists at Fraunhofer IPA have now completed a first prototype. In doing so, they are continuing in their efforts to improve working conditions in the care sector and are developing solutions designed to address the challenges of demographic change.

Technical assistance systems can improve the difficult working conditions in residential nursing homes and hospitals by helping the staff in their work and...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

Networking conference in Heidelberg for outstanding mathematicians and computer scientists

20.08.2015 | Event News

Scientists meet in Münster for the world’s largest Chitin und Chitosan Conference

20.08.2015 | Event News

Large agribusiness management strategies

19.08.2015 | Event News

 
Latest News

Interstellar seeds could create oases of life

28.08.2015 | Physics and Astronomy

An ounce of prevention: Research advances on 'scourge' of transplant wards

28.08.2015 | Health and Medicine

Fish Oil-Diet Benefits May be Mediated by Gut Microbes

28.08.2015 | Life Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>