Quality Of Service Management Approach Research Articles

Data Privacy-Preserving Automation Architecture for Industrial Data Exchange in Smart Cities

Information exchange across different entities, aiming at bridging various information “islands” that enclose specific domain understandings, has become an important means to achieve advanced intelligence toward smart cities. However, the concern of data privacy hinders the progress to establish a highly cooperative information sharing ecosystem. Existing data sharing platforms work as separate systems without incorporating the data privacy processing feature. Data privacy processing often needs to be manually handled offline using detached toolkits or systems before publishing—lack of automation, which makes it difficult to meet the evergrowing data exchange demand in both volume and frequency. In this paper, driven by real-world needs, a novel backend computing architecture, named data privacy-preserving automation architecture (DPA), is proposed to facilitate online privacy-protection processing automation and secure data privacy, which is able to seamlessly integrate with companies’ principal application system in an interruption-free manner, allowing for adaption to flexible models and quality of service (QoS) guarantee for cross-entity data exchange. A novel QoS management approach, based on actor mode concurrency, is proposed for privacy processing task prioritization in application layer. A prototype system has been implemented based on real-world mobility application to demonstrate the main features of the DPA architecture. The DPA architecture can be flexibly adapted for various domain applications of smart city development.

Managing end-to-end QoS in distributed embedded applications

Maintaining end-to-end quality of service (QoS) is a challenge in distributed real time embedded systems due to dynamically changing network environments and resource requirements. The authors' middleware QoS management approach encapsulates QoS behaviors as software components. Using the Corba component model, they build these specialized QoS components and combine them to produce a comprehensive management system that maintains QoS. The authors illustrate the approach by building a real-world medium-scale system with these components. Using this example, they demonstrate the reusability of each component in different contexts

Unified Approach for QoS Management with Adaptation and Renegotiation

A new adaptation protocol for quality of service (QoS) adaptation with renegotiation is developed that allows a connection-oriented network like ATM to recover from the QoS violations in order to satisfy end-to-end QoS requirements. This protocol is applicable to networks using PNNI where the nodes are grouped together in peer groups hierarchically. It Is assumed that every node has a QoS/Route Monitor unit that receives QoS/Link State Update (LSU) messages from the network on a periodic or triggered basis. In addition to its usual functions, this monitor would also function as QoS agent, QoS manager or Connection QoS Manager depending on its location. The QoS/Route Monitor is responsible for sending or receiving the signalling messages required in the protocol. To facilitate functioning of the protocol, several signalling messages have been defined that characterize different control mechanisms required for the protocol and the network. Finally, a unified model for quality of service management in broadband integrated services networks is proposed that has QoS monitor as primary part of the network interface or the switch. The model consists of components responsible for QoS provisioning, QoS monitoring and managing QoS routes. The model is also responsible for processing the proposed adaptation protocol between end points.

Analysis and Provision of QoS for Distributed Grid Applications

Grid computing provides the infrastructure necessary to access and use distributed resources as part of virtual organizations. When used in this way, Grid computing makes it possible for users to participate in collaborative and distributed applications such as tele-immersion, visualization, and computational simulation. Some of these applications operate in a collaborative mode, requiring data to be stored and delivered in a timely manner. This class of applications must adhere to stringent real-time constraints and Quality-of-Service (QoS) requirements. A QoS management approach is therefore required to orchestrate and guarantee the timely interaction between such applications and services. We discuss the design and a prototype implementation of a QoS system, and demonstrate how we enable Grid applications to become QoS compliant. We validate this approach through a case study of an image processing task derived from a nanoscale structures application.

Addressing the requirements of QoS management for wireless ad hoc networks☆

Quality of Service (QoS) provisioning and management in ad hoc networks remains a challenging task. Existing research focuses either on providing QoS or on network management, in ad hoc networks. However, a comprehensive approach to QoS management in ad hoc networks, i.e. network management in support of service differentiation, QoS robustness, and network survivability is still lacking. In this paper, we survey the existing literature on ad hoc network management from a QoS perspective. We identify policy-based management as a promising approach for QoS provisioning and management in ad hoc networks, and describe the components that we believe are crucial for effective functioning of such a policy-based framework. Our initial experimental results in assessing signaling overhead and response time for network management in ad hoc networks support the choice of a hybrid policy architecture that combines outsourcing and provisioning policy distribution models.