다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Computer communications

A wireless sensor network comprises at least one sensor unit which comprises a sensor for sensing a parameter and at least one interrogating node. The interrogating node is arranged to transmit an interrogation message periodically to said sensor unit and to receive a reply message from said sensor unit. The sensor unit is arranged to transmit said reply message after a predetermined deliberate delay unless the sensor unit determines that an alarm condition has been met, in which case the sensor unit is arranged to transmit said reply message before the end of the deliberate delay.

Wireless sensor networks

Traffic engineering is an important mechanism for Internet network providers seeking to optimize network performance and traffic delivery. Routing optimization plays a key role in traffic engineering, finding efficient routes so as to achieve the desired network performance. In this survey we review Internet traffic engineering from the perspective of routing optimization. A taxonomy of routing algorithms in the literature is provided, dating from the advent of the TE concept in the late 1990s. We classify the algorithms into multiple dimensions: unicast/multicast, intra-/inter- domain, IP-/MPLS-based and offline/online TE schemes. In addition, we investigate some important traffic engineering issues, including robustness, TE interactions, and interoperability with overlay selfish routing. In addition to a review of existing solutions, we also point out some challenges in TE operation and important issues that are worthy of investigation in future research activities.

/pdf/an-overview-of-routing-optimization-for-internet-traffic-568i46uj1v.pdf

An overview of routing optimization for internet traffic engineering

This paper presents a framework for specifying policies for the management of network services. Although policy-based management has been the subject of considerable research, proposed solutions are often restricted to condition-action rules, where conditions are matched against incoming traffic flows. This results in static policy configurations where manual intervention is required to cater for configuration changes and to enable policy deployment. The framework presented in this paper supports automated policy deployment and flexible event triggers to permit dynamic policy configuration. While current research focuses mostly on rules for low-level device configuration, significant challenges remain to be addressed in order to:a) provide policy specification and adaptation across different abstraction layers; and, b) provide tools and services for the engineering of policy-driven systems. In particular, this paper focuses on solutions for dynamic adaptation of policies in response to changes within the managed environment. Policy adaptation includes both dynamically changing policy parameters and reconfiguring the policy objects. Access control for network services is also discussed.

/pdf/an-adaptive-policy-based-framework-for-network-services-1w38wsce6o.pdf

An Adaptive Policy-Based Framework for Network Services Management

As the Internet evolves toward the global multiservice network of the future, a key consideration is support for services with guaranteed quality of service. The proposed differentiated services framework is seen as the key technology to achieve this. DiffServ currently concentrates on control/data plane mechanisms to support QoS, but also recognizes the need for management plane aspects through the bandwidth broker. In this article we propose a model and architectural framework for supporting DiffServ-based end-to-end QoS in the Internet, assuming underlying MPLS-based explicit routed paths. The proposed integrated management and control architecture will allow providers to offer both quantitative and qualitative services while optimizing the use of underlying network resources.

/pdf/a-management-and-control-architecture-for-providing-ip-1smo9znu9g.pdf

A management and control architecture for providing IP differentiated services in MPLS-based networks

Service Level Specification Semantics, Parameters and Negotiation Requirements

Continuous monitoring of network status and its resources are necessary to ensure proper network operation. Deployment of QoS-based value-added services in IP networks necessitates the employment of resource management techniques and specifically the use of traffic engineering. The latter typically relies on monitoring data for both offline proactive and dynamic reactive solutions. The variety of data to be collected and analyzed using different measurement methods and tools, and the extent of monitoring information to use demand a proper QoS monitoring infrastructure. A monitoring system should be scalable in terms of network size, speed, and number of customers subscribed to value-added services. This article investigates the requirements of scalable monitoring system architectures, proposes principles for designing such systems, and validates them through the design and implementation of a scalable monitoring system for QoS delivery in IP differentiated services networks. Experimental assessment results prove the accuracy and scalability of the proposed monitoring system.

/pdf/scalable-monitoring-support-for-resource-management-and-4hicwhxi0n.pdf

Scalable monitoring support for resource management and service assurance

As the Internet evolves, a key consideration is support for services with guaranteed quality of service (QoS). The proposed differentiated services (DiffServ) framework, which supports aggregate traffic classes, is seen as the key technology to achieve this. DiffServ currently concentrates on control/data plane mechanisms to support QoS but also recognises the need for management plane aspects through the bandwidth broker (BB). In this paper we propose a model and architectural framework for supporting end-to-end QoS in the Internet through a combination of both management and control/data plane aspects. Within the network we consider control mechanisms for traffic engineering (TE) based both on explicitly routed paths and on pure node-by-node layer 3 routing. Management aspects include customer interfacing for service level specification (SLS) negotiation, network dimensioning, traffic forecasting and dynamic resource and routing management. All these are policy-driven in order to allow for the specification of high-level management directives. Many of the functional blocks of our architectural model are also features of BBs, the main difference being that a BB is seen as driven purely by customer requests whereas, in our approach, TE functions are continually aiming at optimising the network configuration and its performance. As such, we substantiate the notion of the BB and propose an integrated management and control architecture that will allow providers to offer both qualitative and quantitative QoS-based services while optimising the use of underlying network resources.

/pdf/an-architectural-framework-for-providing-qos-in-ip-1qrj72swqt.pdf

An architectural framework for providing QoS in IP differentiated services networks

Quality of service based value-added services in IP networks necessitate the use of traffic engineering. The latter relies typically on monitoring data for both offline, proactive and dynamic, reactive solutions. A monitoring system should be scalable in terms of network size, speed and number of customers subscribed to value-added services. The article investigates the requirements of scalable monitoring system architectures, proposes principles for designing such systems and validates them through the design and implementation of a scalable monitoring system for QoS delivery in IP differentiated services (DiffServ) networks. Experimental assessment results are also presented.

https://ieeexplore.ieee.org/iel5/8103/22406/01045780.pdf

R. Egan

Papers

A management and control architecture for providing IP differentiated services in MPLS-based networks

Service Level Specification Semantics, Parameters and Negotiation Requirements

Scalable monitoring support for resource management and service assurance

An architectural framework for providing QoS in IP differentiated services networks

A scalable real-time monitoring system for supporting traffic engineering