Quality of services for remote control in High Energy Physics experiments: a case study

Abstract The development of new advanced applications and the evolution in networking are two related processes which greatly benefit from two-way exchanges and from progress in both fields. In this study we show how mission-oriented networked applications can be effectively deployed for research purposes if coupled to the support of Quality of Service (QoS) in IP networks. QoS is one of the latest research topics in network engineering. In this article we focus on two specific examples of networked applications: remote instrumentation control and remote display of analysis data when applied for the support of experiments in the high energy physics field. In this paper we focus on the application requirements: the availability of a reliable transmission channel, limited one-way delay for timely interactions between servers and clients and fairness in network resources allocation in case of contention. The above-mentioned requirements can be addressed through the support of QoS, i.e. through the differential treatment of packets on the end-to-end data path. Several technologies and protocols for QoS support in packet networks have been devised during the last years by the research community. In this study we focus on the Differentiated Services (diffserv) approach, an architecture characterized by high scalability, flexibility and interoperability. In this paper we identify the application requirements and we quantitatively specify the corresponding service profiles. The diffserv network architecture needed to support the services is defined in terms of functional blocks (policing, classification, marking and scheduling) and of their placement in the network. Finally, for each of them the configuration best suited to remote control support is defined

Resource Management in Diffserv (RMD) Framework

This draft presents the work on the framework for the Resource Management in Diffserv (RMD) designed for edge-to-edge resource reservation in a Differentiated Services (Diffserv) domain. The RMD extends the Diffserv architecture with new resource reservation concepts and features. Moreover, this framework enhances the Load Control protocol described in [WeTu00].\ud \ud The RMD framework defines two architectural concepts:\ud - the Per Hop Reservation (PHR)\ud - the Per Domain Reservation (PDR)\ud \ud The PHR protocol is used within a Diffserv domain on a per-hop basis to augment the Diffserv Per Hop Behavior (PHB) with resource reservation. It is implemented in all nodes in a Diffserv domain. On the other hand, the PDR protocol manages the resource reservation per Diffserv domain, relying on the PHR resource reservation status in all nodes. The PDR is only implemented at the boundary of the domain (at the edge nodes).\ud \ud The RMD framework presented in this draft describes the new reservation concepts and features. Furthermore it describes the:\ud - relationship between the PHR and PHB\ud - interaction between the PDR and PHR\ud - interoperability between the PDR and external resource reservation schemes\ud \ud This framework is an open framework in the sense that it provides the basis for interoperability with other resource reservation schemes and can be applied in different types of networks as long as they are Diffserv domains. It aims at extreme simplicity and low cost of implementation along with good scaling properties

Internet QoS for DiffServ-Enabled Routers

Differentiated Service Model (DiffServ) is currently a popular research topic as a low-cost method to bring QoS to today's Internet backbone network. In this paper, the author introduces the techniques and methodologies that used to design and implement DiffServ-enabled (DS-enabled) routers. The adaptations of DS-enabled routers are designed to cater to the low Internet connectivity within Universiti Teknologi PETRONAS LAN. The author has implemented basic DiffServ setting using three CISC03725 routers. Based on these DiffServ-enabled routers, the author set up a small scale lab network to study DiffServ QoS features: priority dropping (discrimination among different service classes), QoS guarantees and measuring QoS using various formal metrics (delay and throughput). Furthermore, the author present problems encountered during study, and the proposed solutions

Q-Andrew: a consolidated QOS management framework

Tese de mestrado em Segurança Informática, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2008As redes IP convergentes são compostas por uma diversidade de tecnologias que suportam múltiplos tipos de serviços com diferentes características. Cada fabricante de equipamento activo de rede usa sistemas de manutenção proprietários, incompatíveis com equipamentos de outros fabricantes. Para um operador de telecomunicações a gestão da Qualidade de Serviço, numa rede composta por vários fabricantes, é uma tarefa complexa e dispendiosa. Algumas tarefas requerem configuração manual para garantir a compatibilidade entre configurações de equipamentos de fabricantes diferentes. Melhorar a resposta operacional e reduzir os custos de operação nestas circunstâncias é apenas possível com a consolidação da gestão de rede. Para responder a este desafio, propomos: Um conjunto de mecanismos geradores de configurações de Qualidade de Serviço, consistentes entre equipamentos de diversos fabricantes; A definição de um modelo abstracto de representação destas configurações, reutilizável em futuras aproximações de gestão consolidada de rede; Por fim, descrevemos uma aplicação de demonstração onde algumas das propostas apresentadas são concretizadas, tendo como objectivo futuro a sua utilização numa rede real de um operador de telecomunicações nacional, onde são utilizados equipamentos de diversos fabricantes.Converged IP networks consist of diverse technologies and support both legacy and emerging services. Different vendors use separate management systems to achieve similar goals. Manual provisioning today represents a large portion of the total effort required to manage a complex IP network. A consolidated Quality-of-Service policy is difficult to implement in heterogeneous networks. Creating and maintaining such policies is very demanding in terms of operations. For this reason, reducing operational costs while improving Quality-of-Service Management is only possible through a consolidated approach to network management. To leverage operations in converged IP networks, we propose the following: A mechanism to automatically generate consistent configurations across a network with equipment from different vendors; A framework definition such that network element configurations can be specified using a common model; Applying some of the methods proposed to an application that can be used in a real network with diverse technologies and equipment vendors

QoS provisioning in multimedia streaming

Multimedia consists of voice, video, and data. Sample applications include video conferencing, video on demand, distance learning, distributed games, and movies on demand. Providing Quality of Service (QoS) for multimedia streaming has been a difficult and challenging problem. When multimedia traffic is transported over a network, video traffic, though usually compressed/encoded for bandwidth reduction, still consumes most of the bandwidth. In addition, compressed video streams typically exhibit highly variable bit rates as well as long range dependence properties, thus exacerbating the challenge in meeting the stringent QoS requirements of multimedia streaming with high network utilization. Dynamic bandwidth allocation in which video traffic prediction can play an important role is thus needed. Prediction of the variation of the I frame size using Least Mean Square (LMS) is first proposed. Owing to a smoother sequence, better prediction has been achieved as compared to the composite MPEG video traffic prediction scheme. One problem with this LMS algorithm is its slow convergence. In Variable Bit Rate (VBR) videos characterized by frequent scene changes, the LMS algorithm may result in an extended period of intractability, and thus may experience excessive cell loss during scene changes. A fast convergent non-linear predictor called Variable Step-size Algorithm (VSA) is subsequently proposed to overcome this drawback. The VSA algorithm not only incurs small prediction errors but more importantly achieves fast convergence. It tracks scene changes better than LMS. Bandwidth is then assigned based on the predicted I frame size which is usually the largest in a Group of Picture (GOP). Hence, the Cell Loss Ratio (CLR) can be kept small. By reserving bandwidth at least equal to the predicted one, only prediction errors need to be buffered. Since the prediction error was demonstrated to resemble white noise or exhibits at most short term memory, smaller buffers, less delay, and higher bandwidth utilization can be achieved. In order to further improve network bandwidth utilization, a QoS guaranteed on-line bandwidth allocation is proposed. This method allocates the bandwidth based on the predicted GOP and required QoS. Simulations and analytical results demonstrate that this scheme provides guaranteed delay and achieves higher bandwidth utilization. Network traffic is generally accepted to be self similar. Aggregating self similar traffic can actually intensify rather than diminish burstiness. Thus, traffic prediction plays an important role in network management. Least Mean Kurtosis (LMK), which uses the negated kurtosis of the error signal as the cost function, is proposed to predict the self similar traffic. Simulation results show that the prediction performance is improved greatly as compared to the LMS algorithm. Thus, it can be used to effectively predict the real time network traffic. The Differentiated Service (DiffServ) model is a less complex and more scalable solution for providing QoS to IP as compared to the Integrated Service (IntServ) model. We propose to transport MPEG frames through various service classes of DiffServ according to the MPEG video characteristics. Performance analysis and simulation results show that our proposed approach can not only guarantee QoS but can also achieve high bandwidth utilization. As the end video quality is determined not only by the network QoS but also by the encoded video quality, we consider video quality from these two aspects and further propose to transport spatial scalable encoded videos over DiffServ. Performance analysis and simulation results show that this can provision QoS guarantees. The dropping policy we propose at the egress router can reduce the traffic load as well as the risk of congestion in other domains

Final report on the evaluation of RRM/CRRM algorithms

Deliverable public del projecte EVERESTThis deliverable provides a definition and a complete evaluation of the RRM/CRRM algorithms selected in D11 and D15, and evolved and refined on an iterative process. The evaluation will be carried out by means of simulations using the simulators provided at D07, and D14.Preprin

Quality Of Service Enhancement In Ip Based Networks Using Diffserv

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2003Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2003Bu çalışmada, Diffserv mimarisi ile internet üzerinde servis kalitesi sağlama tartışılmıştır. Son on yılda IP tabanlı internette servis kalitesi sağlanamıyordu. İnternette bugün sağlanabilen tek servis ‘Best Effort (BE)’ adı verilen servistir. Yani, ağ, herhangi bir paketi hedefine ulaştırırken mümkün olan en verimli yolu kullanır ancak herhangi bir garanti ya da kaynak ayırımı yapmaz. Başka bir deyişle, trafik mümkün olduğu kadar hızlı ve herhangi bir zaman sınırı ya da miktar açısından garanti verilmeden işlenir. İnternetin ticari bir yapıya bürünmesiyle ‘Servis Kalitesi’ sağlanma ihtiyacı daha da artmıştır. Bu ihtiyaç farklı mimarilerin doğmasına yol açmıştır: IntServ ve DiffServ olmak üzere.Tez çalışmasında DiffServ mimarisi problem ve avantajlarıyla ele alınmıştır. Son bölümde ise NS2 ağ simulasyon yazılımı kullanılarak DiffServ implementasyonları yapılmış sonuçları karşılaştırmalı olarak verilmiştir.In this study improving Quality of Service (QoS) on the Internet with DiffServ architecture is discussed. Within the past decade, it is certainly not support for Quality of Service (QoS) over the IP-based ubiquitous Internet. The Internet as it stands today only support one service class called -Best-Effort (BE) Service. The network would make an earnest attempt to deliver packets to their destinations but with no guarantees and/or special resources allocated for any of the packets. With another words, traffic is processed as quickly as possible but there is no guarantee as to timeliness or actual delivery or even how much can be delivered (i.e. throughput). With the rapid transformation of the Internet into a commercial infrastructure, demands for Quality of Service (QoS) have rapidly developed. This need was resulted to different architectures: IntServ and DiffServ. In the study some DiffServ implementations are discussed with their problems and gains. At the last section with using NS2 simulation programming language some DiffServ implementations are given with the compared results.Yüksek LisansM.Sc