Differentiated service

About: Differentiated service is a research topic. Over the lifetime, 5539 publications have been published within this topic receiving 105225 citations.

Service Systems and Value Modeling from an Appreciative System Perspective

Abstract: Since its inception Service Science has created a substantial body of knowledge about services and their provision. Most notably, the concept of Service System was defined in order to describe the co-creation of value by the service provider and customer. We introduce the concept of Appreciative System defined by Vickers in the study of the way individuals and organizations apprehend and act on their environment. We show how the appreciative system concept can be applied to a service system model with the SEAM enterprise architecture method.

Business Objects as a Service

Abstract: Hosted business service applications are provided enabling users to download and run plug-in modules associated with scorecard operations. Plug-in modules are launched from context-based links provided by the service or by third parties providing users the ability to work with the hosted application with a substantially same responsiveness and reliability as a natively installed application, to continue working while disconnected from the core service, and to have services upgraded without significantly disrupting their work. Client shell can be billed by the service or by third parties for the use of the business service by tracking activities associated with the downloaded module.

System and method for managing customer-based availability for a transportation carrier

Abstract: A customer-based availability system and method for a service provider such as a transportation carrier is disclosed. This system and method provides programmable logic to allow predetermined request types and service types to be defined. Associations are then formed between request types and service types. When a request is received from a potential customer to book a service, it is automatically determined whether the request is included within one of the request types. If so, it is automatically determined whether that request type is associated with a service type that includes the requested service. If this is the case, the request is allowed to book the service regardless of whether the service is considered to be unavailable, or the sale of the service is otherwise restricted.

User-Driven Service Lifecycle Management --- Adopting Internet Paradigms in Telecom Services

Abstract: The user-centric service creation paradigm set out in Web 2.0 technologies on the Internet allows users to define and share their new content and applications. Open services and interfaces provided by Google et al can be used to build easily, and quickly deploy exciting applications. User-centric service creation provides a cheap solution in contrast with the huge engineering effort that has to be spent both on development and marketing in order to get a new telecom service running and deployed in the market. Adopting Internet paradigms in telecom services requires major flexibility and dynamicity in managing service lifecycle compared to current service management systems. This paper proposes an approach to user-centric service lifecycle management in telecom-oriented platforms. It allows users to drive their services' lifecycle, e.g. when and for how long they must be available, as well as automating the process between the creation and the execution of the services.

An Application-Oriented Fair Resource Allocation Scheme for EPON

Abstract: This paper investigates an application-oriented bandwidth allocation scheme to ensure fairness among queues with diversified quality-of-serice (QoS) requirements in EPONs. Formerly, differentiated services (DiffServ) were suggested to be used in EPON so as to provision some queues with higher QoS over others. However, owing to the coarse granularity, DiffServ can hardly facilitate any particular QoS profile of an application in EPONs. In this paper, we define application utilities to quantify users' quality-of-experience (QoE) as a function of network layer QoS metrics. Then, we formulate the fair resource allocation issue into a utility max-min optimization problem, which is quasiconcave over queues' delayed traffic and dropped traffic. Utilizing the quasiconvex property, we propose to employ the bisection method to solve the optimization problem. The optimal value can be achieved by proper bandwidth allocation and queue management in EPONs. Detailed implementation of the proposed algorithm is discussed, and simulation results show that our proposed scheme can ensure fairness and guarantee QoS with fine granularity.