4,364 research outputs found
Performance Evaluation of the Labelled OBS Architecture
A comparison of three different Optical Burst Switching (OBS) architectures
is made, in terms of performance criteria, control and hardware complexity,
fairness, resource utilization, and burst loss probability. Regarding burst
losses, we distinguish the losses due to burst contentions from those due to
contentions of Burst Control Packets (BCP). The simulation results show that as
a counterpart of an its additional hardware complexity, the labelled OBS
(L-OBS) is an efficient OBS architecture compared to a Conventional OBS (C-OBS)
as well as in comparison with Offset Time-Emulated OBS (E-OBS)
J-MOD: Joint Monocular Obstacle Detection and Depth Estimation
In this work, we propose an end-to-end deep architecture that jointly learns
to detect obstacles and estimate their depth for MAV flight applications. Most
of the existing approaches either rely on Visual SLAM systems or on depth
estimation models to build 3D maps and detect obstacles. However, for the task
of avoiding obstacles this level of complexity is not required. Recent works
have proposed multi task architectures to both perform scene understanding and
depth estimation. We follow their track and propose a specific architecture to
jointly estimate depth and obstacles, without the need to compute a global map,
but maintaining compatibility with a global SLAM system if needed. The network
architecture is devised to exploit the joint information of the obstacle
detection task, that produces more reliable bounding boxes, with the depth
estimation one, increasing the robustness of both to scenario changes. We call
this architecture J-MOD. We test the effectiveness of our approach with
experiments on sequences with different appearance and focal lengths and
compare it to SotA multi task methods that jointly perform semantic
segmentation and depth estimation. In addition, we show the integration in a
full system using a set of simulated navigation experiments where a MAV
explores an unknown scenario and plans safe trajectories by using our detection
model
Statistical analysis of chemical computational systems with MULTIVESTA and ALCHEMIST
The chemical-oriented approach is an emerging paradigm for programming the behaviour of densely distributed and context-aware devices (e.g. in ecosystems of displays tailored to crowd steering, or to obtain profile-based coordinated visualization). Typically, the evolution of such systems cannot be easily predicted, thus making of paramount importance the availability of techniques and tools supporting prior-to-deployment analysis. Exact analysis techniques do not scale well when the complexity of systems grows: as a consequence, approximated techniques based on simulation assumed a relevant role. This work presents a new simulation-based distributed tool addressing the statistical analysis of such a kind of systems, which has been obtained by chaining two existing tools: MultiVeStA and Alchemist. The former is a recently proposed lightweight tool which allows to enrich existing discrete event simulators with distributed statistical analysis capabilities, while the latter is an efficient simulator for chemical-oriented computational systems. The tool is validated against a crowd steering scenario, and insights on the performance are provided by discussing how these scale distributing the analysis tasks on a multi-core architecture
Efficient Control Routing and Wavelength Assignment in Loss-Less Optical Burst Switching Networks
Katedra telekomunikaÄnĂ technik
Getting routers out of the core: Building an optical wide area network with "multipaths"
We propose an all-optical networking solution for a wide area network (WAN)
based on the notion of multipoint-to-multipoint lightpaths that, for short, we
call "multipaths". A multipath concentrates the traffic of a group of source
nodes on a wavelength channel using an adapted MAC protocol and multicasts this
traffic to a group of destination nodes that extract their own data from the
confluent stream. The proposed network can be built using existing components
and appears less complex and more efficient in terms of energy consumption than
alternatives like OPS and OBS. The paper presents the multipath architecture
and compares its energy consumption to that of a classical router-based ISP
network. A flow-aware dynamic bandwidth allocation algorithm is proposed and
shown to have excellent performance in terms of throughput and delay
Adaptive Real-Time Scheduling for Legacy Multimedia Applications
Multimedia applications are often executed on standard Personal Computers. The absence of established standards has hindered the adoption of real-time scheduling solutions in this class of applications. Developers have adopted a wide range of heuristic approaches to achieve an acceptable timing behaviour but the result is often unreliable. We propose a mechanism to extend the benefits of real-time scheduling to legacy applications based on the combination of two techniques: 1) a real-time monitor that observes and infers the activation period of the application, and 2) a feedback mechanism that adapts the scheduling parameters to improve its real-time performance
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