Orange S.A.

About: Orange S.A. is a company organization based out in Paris, France. It is known for research contribution in the topics: Terminal (electronics) & Signal. The organization has 6735 authors who have published 9190 publications receiving 156440 citations. The organization is also known as: Orange SA & France Télécom.

Insensitive Bandwidth Sharing in Data Networks

Abstract: We represent a data network as a set of links shared by a dynamic number of competing flows. These flows are generated within sessions and correspond to the transfer of a random volume of data on a pre-defined network route. The evolution of the stochastic process describing the number of flows on all routes, which determines the performance of the data transfers, depends on how link capacity is allocated between competing flows. We use some key properties of Whittle queueing networks to characterize the class of allocations which are insensitive in the sense that the stationary distribution of this stochastic process does not depend on any traffic characteristics (session structure, data volume distribution) except the traffic intensity on each route. We show in particular that this insensitivity property does not hold in general for well-known allocations such as max-min fairness or proportional fairness. These results are ilustrated by several examples on a number of network topologies.

Behavioral detection of malware: from a survey towards an established taxonomy

Abstract: Behavioral detection differs from appearance detection in that it identifies the actions performed by the malware rather than syntactic markers. Identifying these malicious actions and interpreting their final purpose is a complex reasoning process. This paper draws up a survey of the different reasoning techniques deployed among the behavioral detectors. These detectors have been classified according to a new taxonomy introduced inside the paper. Strongly inspired from the domain of program testing, this taxonomy divides the behavioral detectors into two main families:simulation-basedandformaldetectors.Insidethese families, ramifications are then derived according to the data collection mechanisms, the data interpretation, the adopted model and its generation, and the decision support.

ICP: Design and evaluation of an Interest control protocol for content-centric networking

Abstract: Content-centric networking (CCN) brings a paradigm shift in the present Internet communication model by addressing named-data instead of host locations. With respect to TCP/IP, the transport model is connectionless with a unique endpoint at the receiver, driving a retrieval process natively point to multi-point. Another salient feature of CCN is the possibility to embed storage capabilities into the network, adding a new dimension to the transport problem. The focus of this work is on the design of a receiver-driven Interest control protocol for CCN, whose definition, to the best of our knowledge, still lacks in literature. ICP realizes a window-based Interest flow control, achieving full efficiency and fairness under proper parameters setting. In this paper, we provide an analytical characterization of average rate, expected data transfer delay and queue dynamics in steady state on a single and multi-bottleneck network topology. Our model accounts for the impact of on-path caches. Protocol performance is also assessed via packet-level simulations and design guidelines are drawn from previous analysis.

Comparisons of computed mobile phone induced SAR in the SAM phantom to that in anatomically correct models of the human head

Abstract: The specific absorption rates (SAR) determined computationally in the specific anthropomorphic mannequin (SAM) and anatomically correct models of the human head when exposed to a mobile phone model are compared as part of a study organized by IEEE Standards Coordinating Committee 34, Sub-Committee 2, and Working Group 2, and carried out by an international task force comprising 14 government, academic, and industrial research institutions. The detailed study protocol defined the computational head and mobile phone models. The participants used different finite-difference time-domain software and independently positioned the mobile phone and head models in accordance with the protocol. The results show that when the pinna SAR is calculated separately from the head SAR, SAM produced a higher SAR in the head than the anatomically correct head models. Also the larger (adult) head produced a statistically significant higher peak SAR for both the 1- and 10-g averages than did the smaller (child) head for all conditions of frequency and position.

Think: A Software Framework for Component-based Operating System Kernels

Abstract: Building a flexible kernel from components is a promising solution for supporting various embedded systems. The use of components encourages code re-use and reduces development time. Flexibility permits the system to be configured at various stages of the design, up to run time. In this paper, we propose a software framework, called THINK, for implementing operating system kernels from components of arbitrary sizes. A unique feature of THINK is that it provides a uniform and highly flexible binding model to help OS architects assemble operating system components in varied ways. An OS architect can build an OS kernel from components using THINK without being forced into a predefined kernel design (e.g. exo-kernel, micro-kernel or classical OS kernel). To evaluate the THINK framework, we have implemented KORTEX, a library of commonly used kernel components. We have used KORTEX to implement several kernels, including an L4-like micro-kernel, and kernels for an active network router, for the Kaffe Java virtual machine, and for a Doom game. Performance measurements show no degradation due to componentization and the systematic use of the binding framework, and that application-specific kernels can achieve speed-ups over standard general-purpose operating systems such as Linux.