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Institution

Deutsche Telekom

CompanyWelwyn Garden City, United Kingdom
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 & Signal. The organization has 3473 authors who have published 5208 publications receiving 65429 citations. The organization is also known as: DTAG & German Telecom.


Papers
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Journal ArticleDOI
TL;DR: The challenges to securing the network from the persistent attacker are discussed, and the holistic approach to the security architecture that is required for SDN is described.
Abstract: The proposition of increased innovation in network applications and reduced cost for network operators has won over the networking world to the vision of software-defined networking (SDN). With the excitement of holistic visibility across the network and the ability to program network devices, developers have rushed to present a range of new SDN-compliant hardware, software, and services. However, amidst this frenzy of activity, one key element has only recently entered the debate: Network Security . In this paper, security in SDN is surveyed presenting both the research community and industry advances in this area. The challenges to securing the network from the persistent attacker are discussed, and the holistic approach to the security architecture that is required for SDN is described. Future research directions that will be key to providing network security in SDN are identified.

378 citations

Proceedings ArticleDOI
17 Oct 2011
TL;DR: This paper is the first to quantitatively evaluate the gains of citywide WiFi offloading using large scale real traces and shows that even with a sparse WiFi network the delivery performance can be significantly improved.
Abstract: Cellular networks are currently facing the challenges of mobile data explosion. High-end mobile phones and laptops double their mobile data traffic every year and this trend is expected to continue given the rapid development of mobile social applications. It is imperative that novel architectures be developed to handle such voluminous mobile data. In this paper, we propose and evaluate an integrated architecture exploiting the opportunistic networking paradigm to migrate data traffic from cellular networks to metropolitan WiFi access points (APs). To quantify the benefits of deploying such an architecture, we consider the case of bulk file transfer and video streaming over 3G networks and simulate data delivery using real mobility data set of 500 taxis in an urban area. We are the first to quantitatively evaluate the gains of citywide WiFi offloading using large scale real traces. Our results give the numbers of APs needed for different requirements of quality of service for data delivery in large metropolitan area. We show that even with a sparse WiFi network the delivery performance can be significantly improved. This effort serves as an important feasibility study and provides guidelines for operators to evaluate the possibility and cost of this solution. Keywords-Cellular traffic offloading, delay tolerant, WiFi access points, trace-driven simulation.

341 citations

Proceedings ArticleDOI
02 Apr 2014
TL;DR: The FlowTags architecture is developed, which helps restore two key SDN tenets: bindings between packets and their "origins," and ensuring that packets follow policy-mandated paths.
Abstract: Middleboxes provide key security and performance guarantees in networks. Unfortunately, the dynamic traffic modifications they induce make it difficult to reason about network management tasks such as access control, accounting, and diagnostics. This also makes it difficult to integrate middleboxes into SDN-capable networks and leverage the benefits that SDN can offer.In response, we develop the FlowTags architecture. FlowTags-enhanced middleboxes export tags to provide the necessary causal context (e.g., source hosts or internal cache/miss state). SDN controllers can configure the tag generation and tag consumption operations using new FlowTags APIs. These operations help restore two key SDN tenets: (i) bindings between packets and their "origins," and (ii) ensuring that packets follow policy-mandated paths.We develop new controller mechanisms that leverage FlowTags. We show the feasibility of minimally extending middleboxes to support FlowTags. We also show that FlowTags imposes low overhead over traditional SDN mechanisms. Finally, we demonstrate the early promise of FlowTags in enabling new verification and diagnosis capabilities.

325 citations

Journal ArticleDOI
O. Humbach, H. Fabian, U. Grzesik, U. Haken, W. Heitmann1 
TL;DR: In this article, the spectral position and relative intensities of bound hydroxyl (SiOH) absorption bands in state-of-the-art synthetic silica were investigated.
Abstract: The presence of bound hydroxyl (SiOH) in silica is well known to produce an optical fundamental absorption band at about 2.7 μm. For optical fiber applications the influence of the corresponding overtones and combination modes on the absorption spectrum are of significant importance. A literature review is presented which reveals uncertainties regarding the correct absorption band intensities as well as their spectral positions. We present precise data on spectral position and relative intensities of OH absorption bands in state of the art synthetic silica. Our investigations cover the influence of different manufacturing techniques, OH content, and a comparison of bulk and fiber data. With the knowledge of the conversion factors between the intensities of different OH absorption bands it is possible to predict the entire OH related transmission performance of an optical component by measurement of a single absorption band, e.g., the fundamental mode at 2.7 μm or the 1.38 μm band in the low loss range of optical fibers.

324 citations

Journal ArticleDOI
07 Jan 2010
TL;DR: FlowVisor is demonstrated, a special purpose OpenFlow controller that allows multiple researchers to run experiments safely and independently on the same production OpenFlow network and four network slices running in parallel.
Abstract: 1 SLICED PROGRAMMABLE NETWORKS OpenFlow [4] has been demonstrated as a way for researchers to run networking experiments in their production network Last year, we demonstrated how an OpenFlow controller running on NOX [3] could move VMs seamlessly around an OpenFlow network [1] While OpenFlow has potential [2] to open control of the network, only one researcher can innovate on the network at a time What is required is a way to divide, or slice, network resources so that researchers and network administrators can use them in parallel Network slicing implies that actions in one slice do not negatively affect other slices, even if they share the same underlying physical hardware A common network slicing technique is VLANs With VLANs, the administrator partitions the network by switch port and all traffic is mapped to a VLAN by input port or explicit tag This coarse-grained type of network slicing complicates more interesting experiments such as IP mobility or wireless handover Here, we demonstrate FlowVisor, a special purpose OpenFlow controller that allows multiple researchers to run experiments safely and independently on the same production OpenFlow network To motivate FlowVisor’s flexibility, we demonstrate four network slices running in parallel: one slice for the production network and three slices running experimental code (Figure 1) Our demonstration runs on real network hardware deployed on our production network at Stanford and a wide-area test-bed with a mix of wired and wireless technologies

319 citations


Authors

Showing all 3475 results

NameH-indexPapersCitations
Jörg Müller6740715282
Anja Feldmann6734017422
Yuval Elovici6254414451
Lior Rokach5535719989
Pan Hui5246817724
Hartmut G. Roskos504349643
Wolfgang Haase5062411634
Shlomi Dolev4851610435
Jean-Pierre Seifert452987516
Stefan Schmid455619088
Fabian Schneider441647437
Karsten Buse433947774
Tansu Alpcan432937840
Florian Metze423187148
Christian Bauckhage422858313
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20227
202139
202061
201984
201897