QoS Policies Research Articles

A state-dependent time evolving multi-constraint routing algorithm

This article proposes a state-dependent routing algorithm based on a global optimization cost function whose parameters are learned from the real-time state of the network with no a priori model. The proposed approach samples, estimates, and builds the model of pertinent and important aspects of the network environment such as type of traffic, QoS policies, resources, etc. It is based on the trial/error paradigm combined with swarm-adaptive approaches. The global system uses a model that combines both a stochastic planned prenavigation for the exploration phase with a deterministic approach for the backward phase. We conducted a performance analysis of the proposed algorithm using OPNET based on several topologies such as the Nippon telephone and telegraph network. The simulation results obtained demonstrate substantial performance improvements over traditional routing approaches as well as the benefits of learning approaches for networks with dynamically changing traffic.

Fuzzy Conflict Analysis for QoS Policy Parameters in DiffServ Networks

Policy-based network management is a necessity for managing large-scale environments. It provides the means for separating high-level system requirements from the actual implementation. As the network size increases, the need for automated tools to perform management becomes more apparent. But configuring routers and network devices to achieve QoS goals is a challenging task. Using Differentiated Services to dynamically perform this configuration involves defining policies on different network nodes in multiple domains. Policy aggregation across domains requires a unified policy model that can overcome the challenge of conflict detection and resolution. In this work, we propose a unified model to represent and encode QoS policies. This model enables efficient and flexible conflict analysis. The representation utilizes a bottom-up approach, from the base policy parameters to the aggregation of policies across domains with respect to traffic classes. We also present a classification of these conflicts and a measure of conflicts to assess the severity of any misconfiguration. The model and the conflict measure are evaluated with large networks and different topologies.

HStorage-DB

As storage systems become increasingly heterogeneous and complex, it adds burdens on DBAs, causing suboptimal performance even after a lot of human efforts have been made. In addition, existing monitoring-based storage management by access pattern detections has difficulties to handle workloads that are highly dynamic and concurrent. To achieve high performance by best utilizing heterogeneous storage devices, we have designed and implemented a heterogeneity-aware software framework for DBMS storage management called hStorage-DB, where semantic information that is critical for storage I/O is identified and passed to the storage manager. According to the collected semantic information, requests are classified into different types. Each type is assigned a proper QoS policy supported by the underlying storage system, so that every request will be served with a suitable storage device. With hStorage-DB, we can well utilize semantic information that cannot be detected through data access monitoring but is particularly important for a hybrid storage system. To show the effectiveness of hStorage-DB, we have implemented a system prototype that consists of an I/O request classification enabled DBMS, and a hybrid storage system that is organized into a two-level caching hierarchy. Our performance evaluation shows that hStorage-DB can automatically make proper decisions for data allocation in different storage devices and make substantial performance improvements in a cost-efficient way.

Next-generation QoS control architectures for distribution smart grid communication networks

This article presents a proposal for applying the ITU-T end-to-end QoS control architecture for next-generation networks to the distribution smart grid communication networks. We propose the use of a QoS broker device to enhance the QoS in the smart grid electrical distribution access domains by providing a centralization of QoS management. Our proposal takes decisions based on current network data traffic flows, existing QoS policies and customer service level agreements and facilitates interoperability with other technology domains in order to achieve seamless end-to-end QoS. The key feature of this end-toend QoS control is the mapping of QoS parameters mainly between broadband power line and wireless technologies that principally serve the distribution smart grid but it can be applied to other communication technologies as well.

A DDS‐based middleware for quality‐of‐service and high‐performance networked robotics

SUMMARYSocial robots must adapt to dynamic environments, human interaction partners and challenging new stringent tasks. Their inner software is usually distributed and should be designed and deployed carefully because slight changes in the robot's requirements can have an important impact not only on the existing source code but also on the resulting performance at run‐time. This paper proposes an implementation of this inner software using a new lightweight middleware for networked robotics called Nerve. The principal novelty this middleware has with respect to other state‐of‐the‐art approaches is that it guarantees both scalability and QoS, which are key requirements for real‐time robotics software. The benefits of Nerve have been proved through its use in two key components of the cognitive system of a social robot: (i) the visual attention mechanism, used to extract relevant data from perceived images; and (ii) a robot learning by imitation control architecture that allows the social robot to be taught by people using natural demonstrations (i.e. using the same communication channels that would be used to teach people). Nerve makes use of existing patterns for networked applications together with the recent Data Distribution Service specification, which is a publish/subscribe standard for real‐time and distributed systems that provides a wide set of QoS policies. In this paper, these different QoS policies have been applied carefully to achieve the best performance of the target robot. Copyright © 2012 John Wiley & Sons, Ltd.

Hybrid Cloud Computing Platform for Hazardous Chemicals Releases Monitoring and Forecasting

While hazardous chemicals pollutions occurring, monitoring and forecasting are very important for emergency planning and evacuation. To implement the object, huge amounts of wireless sensors may be distributed in large area. The data gathered by the sensors are sent back to data centers for preprocessing and analysis, which need massive computing utility. Therefore a high effective computing paradigm is essential for the hazardous chemicals releases monitoring and forecasting. This paper brought out a hybrid cloud computing platform to solve the problem. It is an Infrastructure as a Service (IaaS) platform, which provides High Performance Computing (HPC) resources, virtualized computing resources, storage resources for hazardous chemicals releases data processing and analysis. Especially we designed a scheduling algorithm and QoS policy to assure efficiency of the platform. At last the platform capability and performance were demonstrated by application scenarios.

Applying Trajectory approach with static priority queuing for improving the use of available AFDX resources

AFDX (Avionics Full Duplex Switched Ethernet) standardized as ARINC 664 is a major upgrade for avionics systems. The mandatory certification implies a worst-case delay analysis of all the flows transmitted on the AFDX network. Up to now, this analysis is done thanks to a tool based on a Network Calculus approach. The more recent Trajectory approach has been proposed for the computation of worst-case response time in distributed systems. It has been shown that the worst-case delay analysis of an AFDX network can be improved using an optimized Trajectory approach. This paper extends this optimized approach with the integration of static priority QoS policies. This extension makes possible to compute the bounds needed for deterministic avionics flows (high priority) when (lower priority) non avionics flows are added. Moreover, the paper provides an analysis of the pessimism of the obtained bounds.

Internet QoS regulation in future networks: a user-centric approach

In the NGN environment, networks are designed to be multiservice, supporting a wide range of premium services. Each of these services may have different QoS requirements based on the overall end user's perception. New QoS policies are required that adapt the traditional QoS regulatory model to this emerging context. This article presents a user-centric approach to identify key factors contributing to the development of QoS regulation for future networks. A case study shows the application of our user-centric QoS model to Internet QoS regulation in Spain. The results of the study demonstrate the need to adapt current regulatory frameworks to ensure competition, pluralism, and diversity in the new network environment.

Quality of service management for ISPs: A model and implementation methodology based on the ITU-T recommendation E.802 framework

Quality of service has become one of the most important factors among Internet service providers. The implementation of appropriate QoS policies is essential in order to maintain customer loyalty and fulfill regulators' requirements. ITU-T recommendation E.802 provides a framework for the identification of QoS criteria relevant to users and ISPs. This Recommendation also provides guidelines to derive measurable QoS parameters from identified criteria. This article presents a QoS management model and implementation methodology for ISPs. We ground our investigation on the E.802 framework, which ISPs may face when implementing ITU-T Recommendation G.1000. The proposed methodology is meaningful for users, vendors, and network operators. Furthermore, its conformance with the ITU-T standard makes it suitable and deployment-ready for both regulators and providers.

The Implementation of Remote Automation Execution Agent over ACL on QOS POLICY Based System

The Implementation of Remote Automation Execution Agent over ACL on QOS POLICY Based System

IREX: efficient automation architecture for the deployment of inter-domain QoS policy

The inter-domain resource exchange (iREX) architecture uses economic market mechanisms to automate the ad-hoc negotiation and deployment of end to end inter-domain quality of service policy among resource consumer and resource provider . In this paper, we explore iREX's network load distribution by comparing its performance to a lower bound for network congestion in two ways. We first present an analytical model of iREX in terms of an online algorithm and analyze its efficiency via competitive analysis. Our main result shows that the efficiency loss of iREX with respect to monetary cost is upper-bounded by a factor of 8 K/2 K+1, where K s the number of deployments, provided affine linear price functions are used. When the price functions are used to model congestion in the network, this result implies upper bounds on the efficiency loss of iREX with respect to network congestion. We then complement the analytical model with a numerical study using simulations.with optimal solutions derived from unsplittable and splittable multi-commodity flow optimization models. Our numerical results show that for nominal to high traffic loads of 40% or more, iREX deviates a maximum of about 20% from the lower bound, while the current method deviates a maximum of 300%.

Extending QoS from Radio Access to an All-IP Core in 3G Networks: An Operator's Perspective

The convergence of wireless radio networks with all-IP networks has gained significant attention due to the ever increasing proliferation of IP technologies toward base stations as well as advances in air interfaces and wireless multimedia applications. Within standardization bodies, significant efforts are underway to address the support of QoS within the radio access network and Internet multimedia subsystem. For successful end-to-end application delivery, QoS and user profile unification are critical challenges, as is the intertwined policy enforcement between the IMS and the radio network. In this article we present a comprehensive analysis of QoS signaling over the integrated RAN and IMS domains. By using an imaginary service example, referred to as family media service, we analyze the specifics of end-to-end QoS invocation, control, and policy enforcement, including roaming scenarios. Based on laboratory measurements and simulations, we assess the call-setup delay, and recommend RAN and IMS signaling optimizations for delay reduction. We conclude the article by outlining open issues and proposing viable solutions.

Inter-Domain QoS Application and Methodology

As the telecommunications and multimedia applications continue to migrate to the packet switched world of IP, we continuously hear QoS is the enabler. Yet, there are very few real applications in which providers have married QoS domains and policies together to form a comprehensive QoS strategy across network boundaries. This paper will present real business problems that will require Inter-domain QoS collaboration as the means. The paper further builds as a methodology on how-to implement and maintain QoS in the Inter-domain sense.

An introduction to policy management

Policy management is an all-encompassing term that describes how the QoS policies applied to a network would be managed. This paper illustrates the complexity of policy management, and goes on to explain how the end result of installing a new network policy only happens after a range of both business and network rules are followed. Business rules check that the requested policy is permitted under the customer’s agreed service package and other non-network variables such as the time of day, while network rules include access control functions that check the network has sufficient free capacity before admitting the new policy. Various examples illustrate the importance of co-ordinating policies across the network and that the most appropriate policy is installed in the first place. Poor policy management may result in a next generation network appearing to offer a worse quality of service than the completely best-effort network it is replacing.

정책기반 네트워크 관리 환경에서 퍼지 컨트롤러를 이용한 적응적 QoS 정책 제어

본 논문에서는 정책기반의 IP 네트워크 관리구조에서 임의의 노드에 유입되어지는 트래픽에 대하여 퍼지 추론 방식을 사용한 어드미션 제어 구조를 설계하였다. 제안된 제어구조는 기존 정의된 정책 요구수준과 네트워크 상태에 따라 자원 할당을 결정하는 방식을 사용하였다. 이는 기존의 바이너리 방식의 정책 적용방식을 개선하여 사전에 정의된 임의의 005 정책에 대하여 예측할 수 없는 네트워크의 상태에 따라 적응적인 어드미션 제어를 제공함으로서 네트워크의 자원을 효율적으로 사용할 수 있도록 하였다. 볼 논문에서 설계한 퍼지 제어기를 통하여 제한된 환경에서의 시뮬레이션을 수행한 결과 비퍼지 환경에 비하여 트래픽의 패턴에 따라 평균 26%의 패킷 거부율을 향상하였고, 이는 퍼지 컨트롤러에 의해서 네트워크의 상태에 따라 비퍼지 환경에서의 수락/거절 동작이 아닌 소프트한 적응성을 보여주었기 때문이다. This Paper Presents the control structure for incoming traffic from arbitrary node to Provide admission control in policy-based W network management structure using fuzzy logic control approach. The proposed control structure uses scheme for deciding network resource allocation depending on requirements predefined-policies and network states. The proposed scheme enhances policy adapting methods of existing binary methods, and can use resource of network more effectively to provide adaptive admission control, according to the unpredictable network states for predefined QoS policies. Simulation results show that the proposed controller improves the ratio of packet rejection up to 26%, because it Performs the soft adaption based on the network states instead of accept/reject action in conventional CAC(Connection Admission Controller).

QoS-aware handover control in current and future wireless/mobile networks

In this article we propose to enhance a handover management in a QoS and 4G based environments by providing a handover decision mechanism that considers QoS and other policies constraints. We introduce a policy based handover by combining the mobility management with the policy based architecture in order to achieve handovers that are triggered not only on the signal strength basis, but also on policy constraints such as cost, resource availability or load balancing. The policy based architecture will provide the handover triggering mechanism and the decision support related to the best next cell where the mobile node will move to. We also introduce mobility parameters in the Service Level Specification (sls) that specifies the handover type, the accepted handover packet loss, and the accepted handover delay. Based on thesesls mobility parameters, the QoS service classes can be mapped to the smooth handover (minimum packet loss), the fast handover (minimum delay), or the seamless handover (fast and smooth).

IP-based access networks for broadband multimedia services

The increasing demands of new services and applications are pushing for drastic changes in the design of access networks for residential and SOHO users. Future access networks will provide full service integration, resource sharing at the packet level, and QoS support. It is expected that using IP as the base technology, the ideal plug-and-play scenario, where the management actions of the access network operator are kept to a minimum, will be achieved easily. In this article we start by giving a historical perspective of the evolution of access networks. We then describe an IP-based architecture targeted for integrated support of broadband multimedia services, designed to be low-cost and easily manageable. We illustrate the different phases of a multimedia Internet access session, when using SIP for session initiation, COPS and DIAMETER for QoS policy management, and AAA and RSVP for resource reservation.

Rule-Based Building-Block Architectures for Policy-Based Networking

We developed two rule-based building-block architectures, i.e., pipe-connection and label-connection architectures, for describing complex and structured policies, especially network QoS policies. This study focuses on the latter. The relationships or connections between building blocks are specified by the data flow and control flow between them. The data flow is specified by tags, including virtual flow labels (VFLs), which are data attached to “outside packets.” The control flow can be classified and specified by four control structures: concatenation, parallel application, selection, and repetition. We have designed fine-grained and coarse-grained building blocks and methods for specifying data flow and control flow in differentiated services (Diffserv), and implemented the coarse-grained ones in a policy server. Two cases of building-block use are described, and we concluded that there are five advantages of building-block-based policies, i.e., expressibility, uniform semantics, simplicity, flexibility, and management-task-oriented design. We also developed techniques for transforming building-block policies into executable ones, which are called policy division and fusion.

Dynamic end-to-end QoS management middleware for distributed multimedia systems

In this paper, we present a separable, reusable middleware solution that provides coordinated, end-to-end QoS management over any type of service component, and can use existing (legacy) QoS management solutions (by using wrappers) in a distributed multimedia system. Our middleware solution incorporates strategic and tactical QoS managers, and supports protocols and messages between tactical managers and managed application components, and between QoS managers in the management hierarchy. Strategic QoS managers take a global view of QoS provided by a set of application components within the manager's policy domain. Tactical QoS managers provide local control over application components. We introduce the concept of QoS policy domains to scope the authority of a strategic QoS manager. We describe how the management hierarchy is dynamically configured and reconfigured based on runtime needs of the application.

A policy framework for integrated and differentiated services in the Internet

We examine the issues that arise in the definition, deployment, and management of policies related to QoS in an IP network. The article provides an overview of requirements for QoS policies, alternative policy architectures that can be deployed in a network, different protocols that can be used to exchange policy information, and exchange of policy information among different administrative domains. We discuss current issues being examined in IETF and other standards bodies, as well as issues explored in ongoing policy-related research at different universities and research laboratories.