1,246 research outputs found
The use of Ethernet in the DataFlow of the ATLAS Trigger & DAQ
The article analyzes a proposed network topology for the ATLAS DAQ DataFlow,
and identifies the Ethernet features required for a proper operation of the
network: MAC address table size, switch performance in terms of throughput and
latency, the use of Flow Control, Virtual LANs and Quality of Service. We
investigate these features on some Ethernet switches, and conclude on their
usefulness for the ATLAS DataFlow network.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, March 2003, 10 pages, LaTeX, 10 eps figures. PSN
MOGT01
Analysys and Implementation IEEE 802.1Q to Improve Network Security
The development of technology today is very fast one only with the existence of the use of the computer network. This can be seen in the increasing number of organizations or companies that use the computer network to facilitate the flow of information within the organization or the company. But with the abundance of the use of network technology is only advancing network progressed only, but not maximize resource so that sometimes allows for the problem or traffic network. For that can be needed by network development solution made VLAN topology using NDLC method (Network Development Life Cycle). Vlans are able to improve the capabilities of the network and can reduce the amount of data that is sent to a destination that does not need to be so that the traffic in the network will be reduced by itself. In addition there is another reason why requires a VLAN is to reduce the possibility of the misuse of access rights. It can use the Mode Access. With the Mode will divide each Host into the VLAN each. With the existence of a VLAN shows can increase network ability as much as 13.4 %. With the data shows that a VLAN successful and able to make the network more efficient. In the VLAN network security aspect is able to optimize network security with the existence of access mode, so that the new host are not capable of entering it into the existing network topology
An Overview of the AURORA Gigabit Testbed
AURORA is one of five U.S. testbeds charged with exploring applications of, and technologies necessary for, networks operating at gigabit per second or higher bandwidths. AURORA is also an experiment in collaboration, where government support (through the Corporation for National Research Initiatives, which is in turn funded by DARPA and the NSF) has spurred interaction among centers of excellence in industry, academia, and government.
The emphasis of the AURORA testbed, distinct from the other four testbeds, is research into the supporting technologies for gigabit networking. Our targets include new software architectures, network abstractions, hardware technologies, and applications. This paper provides an overview of the goals and methodologies employed in AURORA, and reports preliminary results from our first year of research
The AURORA Gigabit Testbed
AURORA is one of five U.S. networking testbeds charged with exploring applications of, and technologies necessary for, networks operating at gigabit per second or higher bandwidths. The emphasis of the AURORA testbed, distinct from the other four testbeds, BLANCA, CASA, NECTAR, and VISTANET, is research into the supporting technologies for gigabit networking.
Like the other testbeds, AURORA itself is an experiment in collaboration, where government initiative (in the form of the Corporation for National Research Initiatives, which is funded by DARPA and the National Science Foundation) has spurred interaction among pre-existing centers of excellence in industry, academia, and government.
AURORA has been charged with research into networking technologies that will underpin future high-speed networks. This paper provides an overview of the goals and methodologies employed in AURORA, and points to some preliminary results from our first year of research, ranging from analytic results to experimental prototype hardware. This paper enunciates our targets, which include new software architectures, network abstractions, and hardware technologies, as well as applications for our work
Fault diagnosis for IP-based network with real-time conditions
BACKGROUND:
Fault diagnosis techniques have been based on many paradigms, which derive from diverse areas
and have different purposes: obtaining a representation model of the network for fault localization,
selecting optimal probe sets for monitoring network devices, reducing fault detection time, and
detecting faulty components in the network. Although there are several solutions for diagnosing
network faults, there are still challenges to be faced: a fault diagnosis solution needs to always be
available and able enough to process data timely, because stale results inhibit the quality and speed
of informed decision-making. Also, there is no non-invasive technique to continuously diagnose the
network symptoms without leaving the system vulnerable to any failures, nor a resilient technique
to the network's dynamic changes, which can cause new failures with different symptoms.
AIMS:
This thesis aims to propose a model for the continuous and timely diagnosis of IP-based networks
faults, independent of the network structure, and based on data analytics techniques.
METHOD(S):
This research's point of departure was the hypothesis of a fault propagation phenomenon that
allows the observation of failure symptoms at a higher network level than the fault origin. Thus, for
the model's construction, monitoring data was collected from an extensive campus network in
which impact link failures were induced at different instants of time and with different duration.
These data correspond to widely used parameters in the actual management of a network. The
collected data allowed us to understand the faults' behavior and how they are manifested at a
peripheral level.
Based on this understanding and a data analytics process, the first three modules of our model,
named PALADIN, were proposed (Identify, Collection and Structuring), which define the data
collection peripherally and the necessary data pre-processing to obtain the description of the
network's state at a given moment. These modules give the model the ability to structure the data
considering the delays of the multiple responses that the network delivers to a single monitoring
probe and the multiple network interfaces that a peripheral device may have.
Thus, a structured data stream is obtained, and it is ready to be analyzed. For this analysis, it was
necessary to implement an incremental learning framework that respects networks' dynamic
nature. It comprises three elements, an incremental learning algorithm, a data rebalancing strategy,
and a concept drift detector. This framework is the fourth module of the PALADIN model named
Diagnosis.
In order to evaluate the PALADIN model, the Diagnosis module was implemented with 25 different
incremental algorithms, ADWIN as concept-drift detector and SMOTE (adapted to streaming scenario) as the rebalancing strategy. On the other hand, a dataset was built through the first
modules of the PALADIN model (SOFI dataset), which means that these data are the incoming data
stream of the Diagnosis module used to evaluate its performance.
The PALADIN Diagnosis module performs an online classification of network failures, so it is a
learning model that must be evaluated in a stream context. Prequential evaluation is the most used
method to perform this task, so we adopt this process to evaluate the model's performance over
time through several stream evaluation metrics.
RESULTS:
This research first evidences the phenomenon of impact fault propagation, making it possible to
detect fault symptoms at a monitored network's peripheral level. It translates into non-invasive
monitoring of the network. Second, the PALADIN model is the major contribution in the fault
detection context because it covers two aspects. An online learning model to continuously process
the network symptoms and detect internal failures. Moreover, the concept-drift detection and
rebalance data stream components which make resilience to dynamic network changes possible.
Third, it is well known that the amount of available real-world datasets for imbalanced stream
classification context is still too small. That number is further reduced for the networking context.
The SOFI dataset obtained with the first modules of the PALADIN model contributes to that number
and encourages works related to unbalanced data streams and those related to network fault
diagnosis.
CONCLUSIONS:
The proposed model contains the necessary elements for the continuous and timely diagnosis of IPbased
network faults; it introduces the idea of periodical monitorization of peripheral network
elements and uses data analytics techniques to process it. Based on the analysis, processing, and
classification of peripherally collected data, it can be concluded that PALADIN achieves the
objective. The results indicate that the peripheral monitorization allows diagnosing faults in the
internal network; besides, the diagnosis process needs an incremental learning process, conceptdrift
detection elements, and rebalancing strategy.
The results of the experiments showed that PALADIN makes it possible to learn from the network
manifestations and diagnose internal network failures. The latter was verified with 25 different
incremental algorithms, ADWIN as concept-drift detector and SMOTE (adapted to streaming
scenario) as the rebalancing strategy.
This research clearly illustrates that it is unnecessary to monitor all the internal network elements
to detect a network's failures; instead, it is enough to choose the peripheral elements to be
monitored. Furthermore, with proper processing of the collected status and traffic descriptors, it is
possible to learn from the arriving data using incremental learning in cooperation with data
rebalancing and concept drift approaches. This proposal continuously diagnoses the network
symptoms without leaving the system vulnerable to failures while being resilient to the network's
dynamic changes.Programa de Doctorado en Ciencia y Tecnología Informática por la Universidad Carlos III de MadridPresidente: José Manuel Molina López.- Secretario: Juan Carlos Dueñas López.- Vocal: Juan Manuel Corchado Rodrígue
Software-defined Networking enabled Resource Management and Security Provisioning in 5G Heterogeneous Networks
Due to the explosive growth of mobile data traffic and the shortage of spectral resources, 5G networks are envisioned to have a densified heterogeneous network (HetNet) architecture, combining multiple radio access technologies (multi-RATs) into a single holistic network. The co-existing of multi-tier architectures bring new challenges, especially on resource management and security provisioning, due to the lack of common interface and consistent policy across HetNets. In this thesis, we aim to address the technical challenges of data traffic management, coordinated spectrum sharing and security provisioning in 5G HetNets through the introduction of a programmable management platform based on Software-defined networking (SDN).
To address the spectrum shortage problem in cellular networks, cellular data traffic is efficiently offloaded to the Wi-Fi network, and the quality of service of user applications is guaranteed with the proposed delay tolerance based partial data offloading algorithm. A two-layered information collection is also applied to best load balancing decision-making. Numerical results show that the proposed schemes exploit an SDN controller\u27s global view of the HetNets and take optimized resource allocation decisions. To support growing vehicle-generated data traffic in 5G-vehicle ad hoc networks (VANET), SDN-enabled adaptive vehicle clustering algorithm is proposed based on the real-time road traffic condition collected from HetNet infrastructure. Traffic offloading is achieved within each cluster and dynamic beamformed transmission is also applied to improve trunk link communication quality.
To further achieve a coordinated spectrum sharing across HetNets, an SDN enabled orchestrated spectrum sharing scheme that integrates participating HetNets into an amalgamated network through a common configuration interface and real-time information exchange is proposed. In order to effectively protect incumbent users, a real-time 3D interference map is developed to guide the spectrum access based on the SDN global view. MATLAB simulations confirm that average interference at incumbents is reduced as well as the average number of denied access.
Moreover, to tackle the contradiction between more stringent latency requirement of 5G and the potential delay induced by frequent authentications in 5G small cells and HetNets, an SDN-enabled fast authentication scheme is proposed in this thesis to simplify authentication handover, through sharing of user-dependent secure context information (SCI) among related access points. The proposed SCI is a weighted combination of user-specific attributes, which provides unique fingerprint of the specific device without additional hardware and computation cost. Numerical results show that the proposed non-cryptographic authentication scheme achieves comparable security with traditional cryptographic algorithms, while reduces authentication complexity and latency especially when network load is high
Planning assistance for the 30/20 GHz program, volume 1
Functional requirements for the 30/20 GHz communication system, planning assistance for the 30/20 GHz program, and a review of specified conceptual designs and recommendations are provided
Analysing and upgrading the network infrastructure of a supermarket chain
This thesis is part of a project consisting on the network replacement of all supermarket chain's stores. The motivation of this renewal is that the store's network has become outdated, obsolete and unsecure. In this thesis, the weak points of the old network are analysed and a proposal for its settlement and improvement is shown step by step, starting from scratch. In addition, the infrastructure of both networks is also reviewed, analysing what are the characteristics of nowadays network devices available on the market and its manufacturers. The proposed final design incorporates Layer 3 and Layer 2 diagrams, including the planning of firewalls provision, routing, switching and redundancy of the network devices. An insight on the protocols that are currently used to overcome arising issues are also discussed
The 30/20 GHz communications system functional requirements
The characteristics of 30/20 GHz usage in satellite systems to be used in support of projected communication requirements of the 1990's are defined. A requirements analysis which develops projected market demand for satellite services by general and specialized carriers and an analysis of the impact of propagation and system constraints on 30/20 GHz operation are included. A set of technical performance characteristics for the 30/20 GHz systems which can serve the resulting market demand and the experimental program necessary to verify technical and operational aspects of the proposed systems is also discussed
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