Deutsche Telekom

About: Deutsche Telekom is a company organization based out in Welwyn Garden City, United Kingdom. It is known for research contribution in the topics: Telecommunications network & Terminal (electronics). The organization has 3473 authors who have published 5208 publications receiving 65429 citations. The organization is also known as: DTAG & German Telecom.

Creating Growth with Externalization of R&D Results - The Spin-Along Approach

Abstract: After a long period of restructuring and outsourcing, companies are increasingly looking for new growth opportunities. Growth with existing products or by expansion in new markets is limited. Therefore, companies are searching for ways to expand their activities in new businesses. A frequently used tool of multinational enterprises is corporate venturing. Within corporate venturing, a further differentiation can be made between internal venturing and external venturing. Internal venturing promotes business ideas generated within the organization, whereas external venturing integrates business ideas developed outside the company. This article presents a special case of corporate venturing: the spin-along approach of Deutsche Telekom Laboratories. It can be seen as a combination of internal and external venturing. In the spin-along approach, employees of the corporate research and development (R&D) department are encouraged to take their technology or business idea external by founding a separate company. Successful companies might later be bought and integrated back into Deutsche Telekom.

Can offloading save energy for popular apps

Abstract: Offloading tasks to cloud is one of the proposed solutions for extending battery life of mobile devices. Most prior research focuses on offloading computation, leaving communication-related tasks out of scope. However, most popular applications today involve intensive communication that consumes a significant part of the overall energy. Hence, we currently do not know how feasible it is to use offloading for saving energy in such apps. In this paper, we first show that it is possible to save energy by offloading communication-related tasks of the app to the cloud. We use an open source Twitter client, AndTweet, as a case study. However, using a set of popular open source applications, we also show that existing apps contain constraints that have to be released with code modifications before offloading can be profitable, and that the potential energy savings depend on many communication parameters. We therefore develop two tools: the first to identify the constraints and the other for fine-grained communication energy estimation. We exemplify the tools and explain how they could be used to help offloading parts of popular apps successfully.

A Survey of PCN-Based Admission Control and Flow Termination

Abstract: Pre-congestion notification (PCN) provides feedback about load conditions in a network to its boundary nodes. The PCN working group of the IETF discusses the use of PCN to implement admission control (AC) and flow termination (FT) for prioritized realtime traffic in a DiffServ domain. Admission control (AC) is a well-known flow control function that blocks admission requests of new flows when they need to be carried over a link whose admitted PCN rate already exceeds an admissible rate. Flow termination (FT) is a new flow control function that terminates some already admitted flows when they are carried over a link whose admitted PCN rate exceeds a supportable rate. The latter condition can occur in spite of AC, e.g., when traffic is rerouted due to network failures. This survey gives an introduction to PCN and is a primer for this new technology. It presents and discusses the multitude of architectural design options in an early stage of the standardization process in a comprehensive and streamlined way before only a subset of them is standardized by the IETF. It brings PCN from the IETF to the research community and serves as historical record.

Learning with synthesized speech for automatic emotion recognition

Abstract: Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: though less natural than human speech, one could synthesize the exact spoken content in different emotional nuances - of many speakers and even in different languages. To investigate chances, the phonemisation components Txt2Pho and openMary are used with Emofilt and Mbrola for emotional speech synthesis. Analysis is realized with our Munich open Emotion and Affect Recognition toolkit. As test set we gently limit to the acted Berlin and eNTERFACE databases for the moment. In the result synthesized speech can indeed be used for the recognition of human emotional speech.

Simulator for simulating an intelligent network

Abstract: The invention relates to a simulator for simulating the performance of an intelligent network (IN), with the following components: 1. a module (201, 301, 401) for simulating any IN-typical runs (traffic simulator) in accordance with the rules of traffic theory; 2. a module (202, 302, 402) for event-oriented simulation of the service control point (SCP simulator) using process models; 3. elements (203, 204, 304-307, 406-409) for transferring data between the modules; 4. elements (207, 311, 416, 208-212, 312-317, 411-415) for inputting and storing the network configuration, communications service specification and other simulation parameters and transferring them to the relevant modules and 5. elements (205-207, 308-310, 417-420, 423) for outputting and/or storing the simulated data. Modules (303, 403, 503, 404, 502)for simulating the SS7 signalling system, preferably taking into consideration the functionalities of the service relay point (SRP) (103), and for simulating the overload defence mechanisms within the IN are also provided. The simulation models communicate with transfer files in a file mode or are linked by a common organisation programme, the on-line simulator, in an on-line mode. Central elements of the simulator in the on-line mode are event calendars in which events to be processed by the simulation modules are entered in the order in which they are processed and which enable processes which in reality are carried out in parallel to be processed in a sequence. The inventive IN simulator makes it possible to analyse the performance of an IN in its present or a future state in order to advantageously identify weak points and increase the efficiency of the IN.