A MapReduce architecture for web site user behaviour monitoring in real time

Monitoring the behaviour of large numbers of web site users in real time poses significant performance challenges, due to the decentralised location and volume of generated data. This paper proposes a MapReduce-style architecture where the processing of event series from the Web users is performed by a number of cascading mappers, reducers and rereducers, local to the event origin. With the use of static analysis and a prototype implementation, we show how this architecture is capable to carry out time series analysis in real time for very large web data sets, based on the actual events, instead of resorting to sampling or other extrapolation techniques

Closing the loop of SIEM analysis to Secure Critical Infrastructures

Critical Infrastructure Protection is one of the main challenges of last years. Security Information and Event Management (SIEM) systems are widely used for coping with this challenge. However, they currently present several limitations that have to be overcome. In this paper we propose an enhanced SIEM system in which we have introduced novel components to i) enable multiple layer data analysis; ii) resolve conflicts among security policies, and discover unauthorized data paths in such a way to be able to reconfigure network devices. Furthermore, the system is enriched by a Resilient Event Storage that ensures integrity and unforgeability of events stored.Comment: EDCC-2014, BIG4CIP-2014, Security Information and Event Management, Decision Support System, Hydroelectric Da

Run-Time Verification of Black-Box Components Using Behavioral Specifications: An Experience Report on Tool Development

We introduce a generic component-based design of a run-time checker, identify its components and their requirements, and evaluate existing state of the art tools instantiating each component

XMovie: Architecture and Implementation of a Distributed Movie System

We describe a system for storing, transmitting and presenting digital movies in a computer network. The hardware used in the system is standard hardware, as found in typical workstations today; no special hardware is required. The movies are shown in windows of the X window system. This allows full integration with the classical components of computer applications such as text, color graphics, menus and icons. The XMovie system has several innovative features: First, it contains a new algorithm for the gradual adaptation of the color lookup table during the presentation of the movie to ensure optimal color quality on low-end workstations. Second, it is a multi-standard system supporting the compression techniques MPEG, H.261, Motion JPEG, and a newly developed extension to the well known Color Cell Compression method. Third, we introduce AdFEC, a new adaptable forward error correction method for our movie transmission protocol

Enabling Constraint-based Binary Reconfiguration by Binary Analysis

Today’s adaptable architectures require configurabilityand adaptability to be supported already at design level.However, modern software products are often constructed outof reusable but non-adaptable and/or legacy software artifacts(e.g. libraries) to meet early time-to-market requirements. Thus,modern adaptable architectures are rarely used in commercialapplications, because the effort to add adaptability to the reusedsoftware artifacts is just too high. In this paper, we propose amethodology to semi-automatically configure existing binaries ona given set of constraints. It is based on building the annotatedcontrol flow graph to identify and remove unused code on staticbasic block level depending on different execution requirementsgiven as a set of constraints. This allows for adaptation of binariesafter compile time without the use of source code. We thenpropose a way of adding additional reconfiguration support tothese configured binary objects. With this approach, adaptionand reconfiguration can be added with a low effort to nonadaptivesoftware

Real-time factored ConvNets: Extracting the x factor in human parsing

© 2017. The copyright of this document resides with its authors. We propose a real-time and lightweight multi-task style ConvNet (termed a Factored ConvNet) for human body parsing in images or video. Factored ConvNets have isolated areas which perform known sub-tasks, such as object localization or edge detection. We call this area and sub-task pair an X factor. Unlike multi-task ConvNets which have independent tasks, the Factored ConvNet’s sub-task has direct effect on the main task outcome. In this paper we show how to isolate the X factor of foreground/background (f/b) subtraction from the main task of segmenting human body images into 31 different body part types. Knowledge of this X factor leads to a number of benefits for the Factored ConvNet: 1) Ease of network transfer to other image domains, 2) ability to personalize to humans in video and 3) easy model performance boosts. All achieved by either efficient network update or replacement of the X factor whilst avoiding catastrophic forgetting of previously learnt body part dependencies and structure. We show these benefits on a large dataset of images and also on YouTube videos.SeeQuesto

Real time embedded software system on a heterogeneous Digital Signal Processor and RISC processor architecture

International audienceThis paper discusses a generic telematics systems based on the OMAPTM (open multimedia application platform)heterogeneous ARMTM/DSP multiprocessor system. These 2 processors are integrated as SOC (system on chip)with a peripheral mix dedicated to the automotive requirements as a one chip solution. These processors are ableto run parallel various real time applications optimized either for the DSP or the ARM-RISC processor or sharedbetween both processors