Differentiated service

About: Differentiated service is a(n) research topic. Over the lifetime, 5539 publication(s) have been published within this topic receiving 105225 citation(s).

An Architecture for Differentiated Service

Abstract: This document defines an architecture for implementing scalable service differentiation in the Internet. This architecture achieves scalability by aggregating traffic classification state which is conveyed by means of IP-layer packet marking using the DS field [DSFIELD]. Packets are classified and marked to receive a particular per-hop forwarding behavior on nodes along their path. Sophisticated classification, marking, policing, and shaping operations need only be implemented at network boundaries or hosts. Network resources are allocated to traffic streams by service provisioning policies which govern how traffic is marked and conditioned upon entry to a differentiated services-capable network, and how that traffic is forwarded within that network. A wide variety of services can be implemented on top of these building blocks.

Definition of the Differentiated Services Field (DS Field) in the IPv4 and IPv6 Headers

Abstract: Differentiated services enhancements to the Internet protocol are intended to enable scalable service discrimination in the Internet without the need for per-flow state and signaling at every hop. A variety of services may be built from a small, well-defined set of building blocks which are deployed in network nodes. The services may be either end-to-end or intra-domain; they include both those that can satisfy quantitative performance requirements (e.g., peak bandwidth) and those based on relative performance (e.g., "class" differentiation). Services can be constructed by a combination of:

Service-oriented computing: concepts, characteristics and directions

Abstract: Service-oriented computing (SOC) is the computing paradigm that utilizes services as fundamental elements for developing applications/solutions. To build the service model, SOC relies on the service oriented architecture (SOA), which is a way of reorganizing software applications and infrastructure into a set of interacting services. However, the basic SOA does not address overarching concerns such as management, service orchestration, service transaction management and coordination, security, and other concerns that apply to all components in a service architecture. In this paper we introduce an extended service oriented architecture that provides separate tiers for composing and coordinating services and for managing services in an open marketplace by employing grid services.

Quality driven web services composition

Abstract: The process-driven composition of Web services is emerging as a promising approach to integrate business applications within and across organizational boundaries. In this approach, individual Web services are federated into composite Web services whose business logic is expressed as a process model. The tasks of this process model are essentially invocations to functionalities offered by the underlying component services. Usually, several component services are able to execute a given task, although with different levels of pricing and quality. In this paper, we advocate that the selection of component services should be carried out during the execution of a composite service, rather than at design-time. In addition, this selection should consider multiple criteria (e.g., price, duration, reliability), and it should take into account global constraints and preferences set by the user (e.g., budget constraints). Accordingly, the paper proposes a global planning approach to optimally select component services during the execution of a composite service. Service selection is formulated as an optimization problem which can be solved using efficient linear programming methods. Experimental results show that this global planning approach outperforms approaches in which the component services are selected individually for each task in a composite service.

Fundamentals of service science

Abstract: Service systems are value-co-creation configurations of people, technology, value propositionsconnecting internal and external service systems, and shared information (e.g., language, laws, measures, and methods). Service science is the study of service systems, aiming to create a basis for systematicservice innovation. Service science combines organization and human understanding with business andtechnological understanding to categorize and explain the many types of service systems that exist as wellas how service systems interact and evolve to co-create value. The goal is to apply scientific understandingto advance our ability to design, improve, and scale service systems. To make progress, we think servicedominantlogic provides just the right perspective, vocabulary, and assumptions on which to build a theory ofservice systems, their configurations, and their modes of interaction. Simply put, service-dominant logicmay be the philosophical foundation of service science, and the service system may be its basic theoreticalconstruct.