About: Common Information Model (computing) is a research topic. Over the lifetime, 298 publications have been published within this topic receiving 3519 citations. The topic is also known as: CIM.
TL;DR: This work focuses on Parallel and Distributed Processing of Power Systems, a model for Integration, Control, and Operation of Distributed Generation, and its applications in Distribution Systems and Transmission Congestion Management.
Abstract: Preface.1. Introduction.2. Parallel and Distributed Processing of Power Systems.3. Information System for Control Centers.4. Common Information Model and Middleware for Integration.5. Parallel and Distributed Load Flow Computation.6. Parallel and Distributed Load Flow of Distribution Systems.7. Parallel and Distributed State Estimation.8. Distributed Power System Security Analysis.9. Hierarchical and Distributed Control of Voltage/VAR.10. Transmission Congestion Management Based on Multi-Agent Theory.11. Integration, Control, and Operation of Distributed Generation.12. Special Topics in Power System Information System.Appendix A. Example System Data.Appendix B. Measurement Data for Distributed State Estimation.Appendix C. IEEE-30 Bus System Data.Appendix D. Acronyms.Bibliography.Index.
TL;DR: One aspect of the invention is a method for responding to an inquiry as mentioned in this paper, which includes receiving the inquiry, obtaining information from a CIMOM, and creating at least one Storage Object.
Abstract: One aspect of the invention is a method for responding to an inquiry. An example of the method includes receiving the inquiry, obtaining information from a CIMOM, and creating at least one Storage Object. This example of the method also includes populating the at least one Storage Object with information received from the CIMOM, and sending the at least one Storage Object to a calling function.
TL;DR: This chapter presents CityGML, which is in the first place an ontology for the three-dimensional, multi-purpose, and multi-scale representation of cities, sites, and regions and defines an exchange format for the storage of and interoperable access to 3D city models in SDIs.
Abstract: Virtual 3D city models provide important information for different aspects of disaster management. In order to ensure the unambiguous interpretation of the represented objects, an ontology in the sense of a common information model for urban and regional structures has to be defined. Furthermore, up-to-dateness of and flexible access to 3D city models are of utmost importance. Spatial Data Infrastructures (SDI) provide the appropriate framework to cover this aspect, integrating distributed data sources on demand. In this chapter we present CityGML, which is in the first place an ontology for the three-dimensional, multi-purpose, and multi-scale representation of cities, sites, and regions. The implementation of CityGML is based on the standard GML3 of the Open Geospatial Consortium and thus defines an exchange format for the storage of and interoperable access to 3D city models in SDIs. The class taxonomy distinguishes between buildings and other man-made artifacts, vegetation objects, water bodies, and transportation facilities like streets and railways. Spatial as well as semantic properties are structured in five consecutive levels of detail. Throughout this chapter, special focus is on the utilization of model concepts with respect to different tasks in the context of emergency response.
TL;DR: This paper describes the application of MVM and RM to the management of resources in a J2EE Server and shows that application performance can be controlled flexibly and easily with low overhead and minimal intrusion.
Abstract: The Java™ 2 Platform, Enterprise Edition (J2EE™) is the standard platform for hosting enterprise applications written in the Java programming language. A single J2EE server can support multiple applications much like a traditional operating system, but performance levels can be difficult to control, due to the absence of resource management facilities in the Java platform. The Resource Management (RM) interface addresses this problem by providing a flexible and extensible framework for managing resources that is applicable across a broad spectrum, from low-level resources like CPU time to higherlevel resources such as database connections. RM has been implemented in the Multi-tasking Virtual Machine (MVM), a scalable operating environment for multiple applications based on the concept of isolated computations. This paper describes the application of MVM and RM to the management of resources in a J2EE Server and shows that application performance can be controlled flexibly and easily with low overhead and minimal intrusion.