An approach to the identification of network elements composing heterogeneous end-to-end paths

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Una piattaforma a servizi per l'inserimento di ordini d'acquisto in SAP R/3 da sistemi eterogenei remoti

L'obiettivo finale della tesi è l'implementazione di un sistema distribuito che permetta di inserire un ordine di acquisto in SAP R/3 utilizzando protocolli di ingresso differenti (HTTP, SMTP/POP3, SMS e RMI). Per fare questo, vengono prima studiate ed analizzate tre tecnologie che, in maniera diversa, contribuiscono alla realizzazione di una piattaforma con architettura service-oriented: il sistema di messaggistica Java JMS, l'applicazione XML BPEL, che permette di coordinare il flusso di esecuzione di più servizi web creando veri e propri processi di business, ed il connettore SAP JCo, per far comunicare un sistema SAP con un programma Java. Nella seconda parte della tesi, vengono dettagliati i requisiti del sistema, l'architettura e l'implementazione: il modulo Java che gestisce l'ingresso multicanale, i servizi web che compongono il processo, la descrizione BPEL del processo stesso e l'interfaccia grafica. Il sistema è stato progettato e realizzato nel corso di uno stage effettuato presso la TD Group spa come dimostrazione applicativa dell'utilizzo dell'interprete BPEL GlobalBiz Process Engine sviluppato dall'azienda.</p

A Markovian Approach to Multipath Data Transfer in Overlay Networks

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Evaluation of Various Interference Models for Joint Routing and Scheduling

Abstract-We explore radio resource allocation in Wireless Mesh Networks, namely we study how to determine a spaceand time-division pattern of transmissions, to deliver traffic to gateway nodes. We highlight link scheduling and routing issues, which we investigate in a cross-layer framework. To this end, an integer linear program is presented, where diverse constraints affect resource allocation; in particular, we focus in this paper on the key role played by the characterization of radio interference. Finally, we obtain numerical results through a genetic algorithm, and we are able to show that the wireless interference model adopted strongly affects the performance of the radio resource allocation; thus, an accurate representation of the wireless channel is necessary to obtain meaningful results

Networking for Cloud Robotics: The DewROS Platform and Its Application

With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the Robot Operating System (ROS) which embodies the three-layer, Dew-Robotics architecture, where computation and storage can be distributed among the robot, the network devices close to it, and the Cloud. After presenting the design and implementation of DewROS, we show its application in a real use-case called SHERPA, which foresees a mixed ground and aerial robotic platform for search and rescue in an alpine environment. We used DewROS to analyze the video acquired by the drones in the Cloud and quickly spot signs of human beings in danger. We perform a wide experimental evaluation using different network technologies and Cloud services from Google and Amazon. We evaluated the impact of several variables on the performance of the system. Our results show that, for example, the video length has a minimal impact on the response time with respect to the video size. In addition, we show that the response time depends on the Round Trip Time (RTT) of the network connection when the video is already loaded into the Cloud provider side. Finally, we present a model of the annotation time that considers the RTT of the connection used to reach the Cloud, discussing results and insights into how to improve current Cloud Robotics applications

Sensorimotor inhibition during emotional processing

Visual processing of emotional stimuli has been shown to engage complex cortical and subcortical networks, but it is still unclear how it affects sensorimotor integration processes. To fill this gap, here, we used a TMS protocol named short-latency afferent inhibition (SAI), capturing sensorimotor interactions, while healthy participants were observing emotional body language (EBL) and International Affective Picture System (IAPS) stimuli. Participants were presented with emotional (fear- and happiness-related) or non-emotional (neutral) EBL and IAPS stimuli while SAI was tested at 120&nbsp;ms and 300&nbsp;ms after pictures presentation. At the earlier time point (120&nbsp;ms), we found that fear-related EBL and IAPS stimuli selectively enhanced SAI as indexed by the greater inhibitory effect of somatosensory afferents on motor excitability. Larger early SAI enhancement was associated with lower scores at the Behavioural Inhibition Scale (BIS). At the later time point (300&nbsp;ms), we found a generalized SAI decrease for all kind of stimuli (fear, happiness or neutral). Because the SAI index reflects integrative activity of cholinergic sensorimotor circuits, our findings suggest greater sensitivity of such circuits during early (120&nbsp;ms) processing of threat-related information. Moreover, the correlation with BIS score may suggest increased attention and sensory vigilance in participants with greater anxiety-related dispositions. In conclusion, the results of this study show that sensorimotor inhibition is rapidly enhanced while processing threatening stimuli and that SAI protocol might be a valuable option in evaluating emotional-motor interactions in physiological and pathological conditions

Pseudorapidity and transverse momentum dependence of flow harmonics in pPb and PbPb collisions

info:eu-repo/semantics/publishe