56 resultados para NETTRA-PG1-FIFO
Resumo:
Internet protocol TV (IPTV) is predicted to be the key technology winner in the future. Efforts to accelerate the deployment of IPTV centralized model which is combined of VHO, encoders, controller, access network and Home network. Regardless of whether the network is delivering live TV, VOD, or Time-shift TV, all content and network traffic resulting from subscriber requests must traverse the entire network from the super-headend all the way to each subscriber's Set-Top Box (STB).IPTV services require very stringent QoS guarantees When IPTV traffic shares the network resources with other traffic like data and voice, how to ensure their QoS and efficiently utilize the network resources is a key and challenging issue. For QoS measured in the network-centric terms of delay jitter, packet losses and bounds on delay. The main focus of this thesis is on the optimized bandwidth allocation and smooth datatransmission. The proposed traffic model for smooth delivering video service IPTV network with its QoS performance evaluation. According to Maglaris et al [5] First, analyze the coding bit rate of a single video source. Various statistical quantities are derived from bit rate data collected with a conditional replenishment inter frame coding scheme. Two correlated Markov process models (one in discrete time and one incontinuous time) are shown to fit the experimental data and are used to model the input rates of several independent sources into a statistical multiplexer. Preventive control mechanism which is to be include CAC, traffic policing used for traffic control.QoS has been evaluated of common bandwidth scheduler( FIFO) by use fluid models with Markovian queuing method and analysis the result by using simulator andanalytically, Which is measured the performance of the packet loss, overflow and mean waiting time among the network users.
Resumo:
IPTV is now offered by several operators in Europe, US and Asia using broadcast video over private IP networks that are isolated from Internet. IPTV services rely ontransmission of live (real-time) video and/or stored video. Video on Demand (VoD)and Time-shifted TV are implemented by IP unicast and Broadcast TV (BTV) and Near video on demand are implemented by IP multicast. IPTV services require QoS guarantees and can tolerate no more than 10-6 packet loss probability, 200 ms delay, and 50 ms jitter. Low delay is essential for satisfactory trick mode performance(pause, resume,fast forward) for VoD, and fast channel change time for BTV. Internet Traffic Engineering (TE) is defined in RFC 3272 and involves both capacity management and traffic management. Capacity management includes capacityplanning, routing control, and resource management. Traffic management includes (1)nodal traffic control functions such as traffic conditioning, queue management, scheduling, and (2) other functions that regulate traffic flow through the network orthat arbitrate access to network resources. An IPTV network architecture includes multiple networks (core network, metronetwork, access network and home network) that connects devices (super head-end, video hub office, video serving office, home gateway, set-top box). Each IP router in the core and metro networks implements some queueing and packet scheduling mechanism at the output link controller. Popular schedulers in IP networks include Priority Queueing (PQ), Class-Based Weighted Fair Queueing (CBWFQ), and Low Latency Queueing (LLQ) which combines PQ and CBWFQ.The thesis analyzes several Packet Scheduling algorithms that can optimize the tradeoff between system capacity and end user performance for the traffic classes. Before in the simulator FIFO,PQ,GPS queueing methods were implemented inside. This thesis aims to implement the LLQ scheduler inside the simulator and to evaluate the performance of these packet schedulers. The simulator is provided by ErnstNordström and Simulator was built in Visual C++ 2008 environmentand tested and analyzed in MatLab 7.0 under windows VISTA.
Resumo:
Internet protocol TV (IPTV) is predicted to be the key technology winner in the future. Efforts to accelerate the deployment of IPTV centralized model which is combined of VHO, encoders, controller, access network and Home network. Regardless of whether the network is delivering live TV, VOD, or Time-shift TV, all content and network traffic resulting from subscriber requests must traverse the entire network from the super-headend all the way to each subscriber's Set-Top Box (STB). IPTV services require very stringent QoS guarantees When IPTV traffic shares the network resources with other traffic like data and voice, how to ensure their QoS and efficiently utilize the network resources is a key and challenging issue. For QoS measured in the network-centric terms of delay jitter, packet losses and bounds on delay. The main focus of this thesis is on the optimized bandwidth allocation and smooth data transmission. The proposed traffic model for smooth delivering video service IPTV network with its QoS performance evaluation. According to Maglaris et al [5] first, analyze the coding bit rate of a single video source. Various statistical quantities are derived from bit rate data collected with a conditional replenishment inter frame coding scheme. Two correlated Markov process models (one in discrete time and one in continuous time) are shown to fit the experimental data and are used to model the input rates of several independent sources into a statistical multiplexer. Preventive control mechanism which is to be including CAC, traffic policing used for traffic control. QoS has been evaluated of common bandwidth scheduler( FIFO) by use fluid models with Markovian queuing method and analysis the result by using simulator and analytically, Which is measured the performance of the packet loss, overflow and mean waiting time among the network users.
Resumo:
A ferramenta de custos é importante do ponto de vista gerencial, auxiliando no controle de gastos e na tomada de decisões. Para demonstrar a classificação dos custos é dado o exemplo dos custos mensais de uma indústria, dividindo-os em custos fixos e custos variáveis. É apresentada também a relação dos custos diretos e indiretos com os custos fixos e variáveis. Como o estoque representa grande parte dos custos, são apresentadas três formas contábeis para valorização de estoques: PEPS (FIFO em inglês) primeiro a entrar, primeiro a sair; UEPS (LIFO em inglês) último a entrar, primeiro a sair e Custo Médio. Conta com exemplo de valorização de estoque usando as três técnicas.
Resumo:
Apresenta os principais conceitos de escalonamento de processos. Trata-se sobre filas de processos, a ordem como os recursos são alocados de acordo com a necessidade e/ou prioridade já estabelecida pelos processos, como essas prioridades são tratados para que tenham o máximo de utilização dos recursos como processador, memória, tempo de execução de cada processo já escalonado. Também são tratadas as políticas de escalonamento, os algoritmos que envolvem essas tarefas por parte do processador como algoritmos preemptivos, não preemptivos, escalonamentos de tempo real. O escalonamento de threads em Java também será abordado de forma resumidamente. Tais conteúdos são indicados aos alunos de graduação da área de Engenharia de Computação, Sistemas de Informação e correlatos.
Resumo:
O material apresenta políticas de escalonamento de processos e threads. O escalonamento de processos (ou Escalonamento do processador) trata da decisão sobre qual processo será executado em um determinado instante e por qual processador. O material apresenta também algoritmos de escalonamento relevantes, incluindo exemplos de algoritmos preemptivos e não-preemptivos, objetivos e critérios do escalonamento e diferentes tipos de escalonamentos: Escalonamento FIFO (first-in first-out), Escalonamento circular RR (Round-Robin ), Escalonamento SPF (Shortest Process First), Escalonamento SRT (Shortest Remaining Time), Escalonamento FSS (Fair Share Scheduling), Escalonamento de tempo real, Escalonamento de threads Java – JVM, Escalonamento no Windows XP e UNIX.
Resumo:
A videoaula apresenta o escalonamento de processos, com foco para as políticas de escalonamento do processador. Destaca o escalonamento com prioridades (estática ou dinâmica), o funcionamento do escalonamento de threads em Java, os níveis de escalonamento (alto nível, nível intermediário, baixo nível) e os critérios que são levados em conta pelo algoritmo de escalonamento. Apresenta também os objetivos e critérios do escalonamento e seus seguintes tipos: Escalonamento FIFO (first-in first-out), Escalonamento circular RR (Round-Robin ), Escalonamento SPF (Shortest Process First), Escalonamento SRT (Shortest Remaining Time), Escalonamento FSS (Fair Share Scheduling) - Escalonamento por fração justa, Escalonamento de tempo real, Escalonamento de threads Java – JVM, Escalonamento no Windows XP e UNIX.
Resumo:
Aim: This study analyzed and compared the experience of dental caries in 300 children aged 0 to 48 months, who were participants and non-participants of a preventive program 'Dentistry for babies', as well as the correlation between assiduity of dental visits and experience of dental caries. Methods: The subjects were randomly selected and divided into two groups: G1 'Non participant children of the Program' (n=100) and G2 'Participant Children of the Program' (n=200). Each group was subdivided in two subgroups: 0-24 months and 25-48 months. The collected data from G2 were analyzed, relating the variation of the dmft index (dmft refers to primary teeth: d = decayed, m = missing/extracted due to caries, f = filled, t = teeth) (C) and dental caries prevalence (P) with the influence of assiduity factor in each subgroup. To collect data, clinical examinations were performed using tactile and visual criteria by a single calibrated examiner. The data were statistically analyzed using the 'paired t-test', 'Mann-Whitney' and 'Chi-Squared' tests (p<0.05). Results: It was found that prevalence and dmft index were statistically significant (P=0.0001) with the greatest values observed in G1 (p=0.0001). The values were: PG1 (73%), PG2 (22%), CG1 (3.45±3.84), CG2 (0.66±1.57). Assiduity was significant in G2 (p=0.0001). The values observed were: P-Assiduous (2%), P-Non-assiduous (42%), C-Assiduous (0.04±0.31), and C-Non-assiduous (1.29±2.01). Conclusions: The participation in the program had a positive influence on the oral health of babies. Complete assiduity to the program resulted in the lowest rates and prevalence of dental caries.
Resumo:
In Smart Grids, a variety of new applications are available to users of the electrical system (from consumers to the electric system operators and market operators). Some applications such as the SCADA systems, which control generators or substations, have consequences, for example, with a communication delay. The result of a failure to deliver a control message due to noncompliance of the time constraint can be catastrophic. On the other hand, applications such as smart metering of consumption have fewer restrictions. Since each type of application has different quality of service requirements (importance, delay, and amount of data to transmit) to transmit its messages, the policy to control and share the resources of the data communication network must consider them. In this paper Markov Decision Process Theory is employed to determine optimal policies to explore as much as possible the availability of throughput in order to transmit all kinds of messages, considering the quality of service requirements defined to each kind of message. First a non-preemptive model is formulated and after that a preemptive model is derived. Numerical results are used to compare FIFO, non-preemptive and preemptive policies.
Resumo:
Pós-graduação em Química - IQ
Resumo:
To assess the impact of the "Dentistry for Infants" early dental care program run by Jacareí County (SP) by comparing the caries of individuals participating and not participating in this program. Methods: In total, 300 children between 0 and 48 months old were assessed in the following two groups: infants not participating in the program (G1, n = 100) and infants participating in the program (G2, n = 200). Each group was further divided according to age in subgroups of 0 to 24 months and 25 to 48 months. All children were clinically assessed for carious lesions using the visual-tactile method. The data were statistically analyzed using a paired Student's t-test, Mann-Whitney test, and c 2 test at a 5% significance level. Results: There was a significant difference in the prevalence (P) and mean index of deciduous teeth (deft) (C) that were decayed, indicated for extraction and filled, and the highest values were observed in G1 (p < 0.0001). The values were as follows: PG1, 73%; PG2, 22%; CG1, 3.45 ± 3.84; and CG2, 0.66 ± 1.57. Conclusion: Participating in the program positively impacted the infants' oral health.
Resumo:
Data-intensive Grid applications require huge data transfers between grid computing nodes. These computing nodes, where computing jobs are executed, are usually geographically separated. A grid network that employs optical wavelength division multiplexing (WDM) technology and optical switches to interconnect computing resources with dynamically provisioned multi-gigabit rate bandwidth lightpath is called a Lambda Grid network. A computing task may be executed on any one of several computing nodes which possesses the necessary resources. In order to reflect the reality in job scheduling, allocation of network resources for data transfer should be taken into consideration. However, few scheduling methods consider the communication contention on Lambda Grids. In this paper, we investigate the joint scheduling problem while considering both optical network and computing resources in a Lambda Grid network. The objective of our work is to maximize the total number of jobs that can be scheduled in a Lambda Grid network. An adaptive routing algorithm is proposed and implemented for accomplishing the communication tasks for every job submitted in the network. Four heuristics (FIFO, ESTF, LJF, RS) are implemented for job scheduling of the computational tasks. Simulation results prove the feasibility and efficiency of the proposed solution.
Resumo:
Web content hosting, in which a Web server stores and provides Web access to documents for different customers, is becoming increasingly common. For example, a web server can host webpages for several different companies and individuals. Traditionally, Web Service Providers (WSPs) provide all customers with the same level of performance (best-effort service). Most service differentiation has been in the pricing structure (individual vs. business rates) or the connectivity type (dial-up access vs. leased line, etc.). This report presents DiffServer, a program that implements two simple, server-side, application-level mechanisms (server-centric and client-centric) to provide different levels of web service. The results of the experiments show that there is not much overhead due to the addition of this additional layer of abstraction between the client and the Apache web server under light load conditions. Also, the average waiting time for high priority requests decreases significantly after they are assigned priorities as compared to a FIFO approach.
Resumo:
Data-intensive Grid applications require huge data transfers between grid computing nodes. These computing nodes, where computing jobs are executed, are usually geographically separated. A grid network that employs optical wavelength division multiplexing (WDM) technology and optical switches to interconnect computing resources with dynamically provisioned multi-gigabit rate bandwidth lightpath is called a Lambda Grid network. A computing task may be executed on any one of several computing nodes which possesses the necessary resources. In order to reflect the reality in job scheduling, allocation of network resources for data transfer should be taken into consideration. However, few scheduling methods consider the communication contention on Lambda Grids. In this paper, we investigate the joint scheduling problem while considering both optical network and computing resources in a Lambda Grid network. The objective of our work is to maximize the total number of jobs that can be scheduled in a Lambda Grid network. An adaptive routing algorithm is proposed and implemented for accomplishing the communication tasks for every job submitted in the network. Four heuristics (FIFO, ESTF, LJF, RS) are implemented for job scheduling of the computational tasks. Simulation results prove the feasibility and efficiency of the proposed solution.
Resumo:
ALICE, that is an experiment held at CERN using the LHC, is specialized in analyzing lead-ion collisions. ALICE will study the properties of quarkgluon plasma, a state of matter where quarks and gluons, under conditions of very high temperatures and densities, are no longer confined inside hadrons. Such a state of matter probably existed just after the Big Bang, before particles such as protons and neutrons were formed. The SDD detector, one of the ALICE subdetectors, is part of the ITS that is composed by 6 cylindrical layers with the innermost one attached to the beam pipe. The ITS tracks and identifies particles near the interaction point, it also aligns the tracks of the articles detected by more external detectors. The two ITS middle layers contain the whole 260 SDD detectors. A multichannel readout board, called CARLOSrx, receives at the same time the data coming from 12 SDD detectors. In total there are 24 CARLOSrx boards needed to read data coming from all the SDD modules (detector plus front end electronics). CARLOSrx packs data coming from the front end electronics through optical link connections, it stores them in a large data FIFO and then it sends them to the DAQ system. Each CARLOSrx is composed by two boards. One is called CARLOSrx data, that reads data coming from the SDD detectors and configures the FEE; the other one is called CARLOSrx clock, that sends the clock signal to all the FEE. This thesis contains a description of the hardware design and firmware features of both CARLOSrx data and CARLOSrx clock boards, which deal with all the SDD readout chain. A description of the software tools necessary to test and configure the front end electronics will be presented at the end of the thesis.