Differentiated service

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

An Infrastructure for Web Services Migration for Real-Time Applications

Abstract: Service-oriented architecture (SOA) is a highly promising technology for software development. It can greatly reduce the development time and cost and achieve system agility. Web service is the current practice for realizing SOA. Due to the nature of widely distributed web service providers, the service performance could be impacted when the network traffic is congested. There are methods, such as communication cost based service selection strategies, developed to cope with the problem. In this paper, we propose a complementing technology, migratable web services, to overcome the performance problems for real-time applications. A service can be implemented by multiple light weighted web services and some of them can be migrated to strategic sites to minimize the communication delays so the real-time requirements can be met. We have designed an infrastructure to support web service migration and execution. Also, appropriate decision mechanism, which decides whether a web service should be migrated and where to send it to, is the key for major performance gains. We use genetic algorithm to efficiently make the best migration decisions. Experimental studies show that the approach can achieve significant performance improvement.

A customized construct of sequential service quality in service encounter chains: time, context, and performance threshold

Abstract: Studies of the construct of service quality have traditionally been undertaken from the perspective of the service receiver. More recently, research has focused on both the service provider's perspective and the service receiver's perspective. In addition, there have also been some triadic network approaches to the study of service quality. However, there has been very little research into sequential service quality in service‐encounter chains (that is, consecutive service performances in a series of service encounters). The incorporation of connected service encounters in services management can improve understanding of sequential service quality in service‐encounter chains. This paper provides a customized construct of sequential service quality and highlights the importance of time, context, and performance threshold in service‐encounter chains. Furthermore, the paper presents a generic five‐phase performance process, and a customized six‐dimensional construct of sequential service quality.

Iterative selection algorithm for service composition in distributed environments

Abstract: In service oriented architecture (SOA), service composition is a promising way to create new services. However, some technical challenges are hindering the application of service composition. One of the greatest challenges for composite service provider is to select a set of services to instantiate composite service with end-to-end quality of service (QoS) assurance across different autonomous networks and business regions. This paper presents an iterative service selection algorithm for quality driven service composition. The algorithm runs on a peer-to-peer (P2P) service execution environment — distributed intelligent service execution (DISE), which provides scalable QoS registry, dynamic service selection and service execution services. The most significant feature of our iterative service selection algorithm is that it can work on a centralized QoS registry as well as cross decentralized ones. Network status is an optional factor in our QoS model and selection algorithm. The algorithm iteratively selects services following service execution order, so it can be applied either before service execution or at service run-time without any modification. We test our algorithm with a series of experiments on DISE. Experimental results illustrated its excellent selection and outstanding performance.

System and method for providing a service management engine for use with a cloud computing environment

Abstract: A system and method for providing a service management engine for use with a cloud computing environment. In accordance with an embodiment, enterprise software applications (e.g., Fusion Middleware applications) can be instantiated as services within a cloud platform, where they are then made accessible by other (e.g., customer) applications. In an embodiment, a service management engine (SME), in communication with an orchestration engine, can be used to provision services as one or more different service types, according to a service definition package (SDP). Service types can be instantiated according to the configuration of the cloud platform itself, and the contents of the SDP, including discovering, provisioning, and associating service types with system resources, to address different customer requirements.

Methods and apparatus for service state-based processing of communications in a call center

Abstract: A call center is configured to determine which of a number of designated service states is associated with a particular skill or type of communication supported by one or more agents of the call center. A particular one of the states represents a branded service level, while other states represent over-service and under-service conditions. If the particular skill or type of communication is determined to be associated with a service state other than that corresponding to the desired branded service level, a communication processing function of the call center is adjusted so as to return the skill or type of communication to the desired branded service level state. An example of such an adjustment is a dynamic agent pooling, in which a pool of agents available to perform work for the particular skill varies in accordance with the current service state of that skill. The call center processing operations may also perform appropriate tests to determine if predictors generated by certain predictive algorithms should be used in the service state determination process. A branded service metric may be used to characterize the performance of the call center with respect to the desired branded service level.