In this paper we present a model-based approach for designing quality of service adaptive applications. We have developed a prototype distributed QoS modeling environment (DQME) that captures important elements of dynamic QoS adaptation at the model level. This modeling environment is designed independent of and can be integrated with, specific application domains to capture their QoS features and adaptation strategies. It combines the domain-specific modeling capability of the generic modeling environment with the QoS adaptation mechanisms of the quality objects middleware framework. DQME captures both the QoS and the functional concerns of distributed real-time embedded systems, and provides clear separation of these two. Integrated code-synthesis tools facilitate code generation and model refinement. We present a signal analyzer case study to demonstrate the use of the DQME modeling tool in real world applications.

In this paper, we present an approach for QoS management that can be applied to a general class of real-time distributed computation systems. In the proposed approach, a switching hybrid system model is used to represent the system. In this setting, the QoS specifications are transformed into set-point specifications and a limited-horizon online supervisory controller is used to move the system to the optimal operation point.

In this paper we present an approach for QoS management that can be applied for a general class of real-time distributed computation systems. In this paper, the QoS adaptation problem is formulated based on a utility function that measures the relative performance of the system. A limited-horizon online supervisory controller is used for this purpose. The online controller explores a limited region of the state-space of the system at each time step and decides the best action accordingly. The feasibility and accuracy of the online algorithm can be assessed at design time.

The Quality Objects (QuO) middleware is a set of extensions to standard distributed object computing middleware that is used to control and adapt the quality of service in a number of distributed application environments, from wide-area to embedded distributed applications. This paper compares and contrasts the characteristics of key use cases and the variations in QuO implementations that have emerged to support them. We present these variations in the context of several actual applications being developed using the QuO middleware.

Recent work in opening up distributed object systems to make them suitable for applications needing quality of service control has had the side effect of increasing the complexity in setting up, configuring, and initializing such applications. Configuration of distributed applications is more complicated than that of non-distributed applications, simply because of the heterogeneous and distributed nature of the application's components. CORBA and other distributed object middleware simplifies the configuration of distributed object applications, but hides much of the information and control necessary to achieve quality of service (QoS). We describe the techniques and tools that we have developed within our Quality Objects (QuO) framework for simplifying the configuration of distributed applications with QoS attributes. We describe a QuO configuration language, as well as the specific configuration needs of particular QoS properties-real-time, security, and dependability-and the support we provide for them.

Article Compiler parallelization of an elliptic grid generator for 1990 Gordon Bell prize Share on Authors: Gary Sabot Thinking Machines Corporation, 245 First Street, Cambridge, MA Thinking Machines Corporation, 245 First Street, Cambridge, MAView Profile , Lisa Tennies Thinking Machines Corporation, 245 First Street, Cambridge, MA Thinking Machines Corporation, 245 First Street, Cambridge, MAView Profile , Alex Vasilevsky Thinking Machines Corporation, 245 First Street, Cambridge, MA Thinking Machines Corporation, 245 First Street, Cambridge, MAView Profile , Richard Shapiro United Technologies Corporation, East Hartford, CT United Technologies Corporation, East Hartford, CTView Profile Authors Info & Claims Supercomputing '91: Proceedings of the 1991 ACM/IEEE conference on SupercomputingAugust 1991 Pages 338–346https://doi.org/10.1145/125826.126020Online:01 August 1991Publication History 0citation161DownloadsMetricsTotal Citations0Total Downloads161Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access