02782nam 2200613 a 450 991097251460332120240516090641.0978661322210790-272-8273-01-283-22210-8(CKB)2550000000043001(EBL)740275(OCoLC)742333677(SSID)ssj0000992486(PQKBManifestationID)11635043(PQKBTitleCode)TC0000992486(PQKBWorkID)10949681(PQKB)10366662(MiAaPQ)EBC740275(Au-PeEL)EBL740275(CaPaEBR)ebr10488473(DE-B1597)719622(DE-B1597)9789027282736(EXLCZ)99255000000004300119980220d1998 uy 0engur|n|---|||||txtccrThe contemporary theory of metaphor a perspective from Chinese /Ning Yu1st ed.Amsterdam ;Philadelphia John Benjamins Pub.c19981 online resource (288 p.)Human cognitive processing,1387-6724 ;v. 1Description based upon print version of record.90-272-2353-X Includes bibliographical references (p. [251]-272) and indexes.The Contemporary Theory of Metaphor; Editorial page; Title page; Copyright page; Table of contents; Acknowledgments; Chapter 1. Introduction; Chapter 2. The Contemporary Theory: A Review; Chapter 3. Emotion Metaphors; Chapter 4. The Time as Space Metaphor; Chapter 5. The Event Structure Metaphor; Chapter 6. Conclusion; Appendix; Notes; References; Name Index; Subject IndexThis comparative study of Chinese and English metaphor contributes to the search for metaphoric universals by placing the contemporary theory of metaphor in a broad cross-linguistic and cross-cultural perspective. The author explores to what degree abstract reasoning is metaphorical and which conceptual metaphors are culture specific, wide spread or universal in a cognitive and cultural context.The empirical studies presented reinforce the view that metaphor is the main mechanism through which abstract concepts are comprehended and abstract reasoning is performed. They also support, fromHuman cognitive processing ;v. 1.MetaphorChinese languageFigures of speechMetaphor.Chinese languageFigures of speech.808Yu Ning615432MiAaPQMiAaPQMiAaPQBOOK9910972514603321The contemporary theory of metaphor4374135UNINA05366nam 22006854a 450 991102035080332120200520144314.0978661027752097812802775281280277521978047023853004702385349780471738220047173822097804717382130471738212(CKB)1000000000355371(EBL)238770(OCoLC)77277022(SSID)ssj0000140128(PQKBManifestationID)11137183(PQKBTitleCode)TC0000140128(PQKBWorkID)10029979(PQKB)10148888(MiAaPQ)EBC238770(Perlego)2758222(EXLCZ)99100000000035537120041229d2005 uy 0engur|n|---|||||txtccrDistributed data management for grid computing /Michael Di StefanoHoboken, NJ John Wiley20051 online resource (309 p.)Description based upon print version of record.9780471687191 0471687197 Includes bibliographical references (p. 273-275).DISTRIBUTED DATA MANAGEMENT FOR GRID COMPUTING; CONTENTS; FOREWORD; PREFACE; ACKNOWLEDGMENTS; PART I AN OVERVIEW OF GRID COMPUTING; 1 What is Grid Computing?; The Basics of Grid Computing; Leveling the Playing Field of Buzzword Mania; Paradigm Shift; Beyond the Client/Server; New Topology; 2 Why are Businesses Looking at Grid Computing; History Repeats Itself; Early Needs; Artists and Engineers; The Whys and Wherefores of Grid Computing; Financial Factors; Business Drivers; Technology's Role; 3 Service-Oriented Architecture; What is Service-Oriented Architecture (SOA)?Driving Forces Behind SOAMaturing Technology; Networking; Distributed Computing (Grid); Resource Provisioning; Web Services; Business; World Events; Enter Basic Supply-Demand Economics; Fundamental Shift in Computing; 4 Parallel Grid Planes; Using Art to Describe Life: Grid is the Borg; Grid Planes; Compute Grids; Data Grids; Compute and Data Grids-Parallel Planes; True Grid Must Include Data Management; Basic Data Management Requirements; Coordinating the Compute and Data Grid Planes; Data Surfaces in a Data Grid Plane; Evolving the Data Grid; PART II DATA MANAGEMENT IN GRID COMPUTING5 Scaling in the Grid TopologyEvolution in Data Management; Client/Server Evolution; Grid Evolution; Different Implementations of a Data Grid; Level 0 Data Grids; FTP in Grid; Distributed Filing Systems; Faster Servers; Metadata Hubs and Distributed Data Integration; Level 1 Data Grids; Foundations; Case Study: Integrasoft Grid Fabric (IGF); Application Characteristics for Grid; 6 Traditional Data Management; Data Management; History; Features; Mechanics; Data Structure; Access; Integrity; Transaction; Events; Backup/Recovery/Availability; Security; Key for Usability7 Relational Data Management as a Baseline for Understanding the Data GridEvolution of the Relational Model; Parallels to Data Management in Grid Environments; Analysis of the Functional Tiers; Language Interface; Data Management Engines; Resource Management Engines; Engines Determine the Type of Data Grid; Data Management Features; 8 Foundation for Comparing Data Grids; Core Engine Determines Performance and Flexibility; Replicated versus Distributed; Centralized versus Peer-to-Peer Synchronization; Access to the Data Grid; User-Level APIs; Spring-Based InterfacesSupport for Traditional Data Management FeaturesSupport for Data Management Features Specific to Grid Computing; 9 Data Regionalization; What are Data Regions?; Data Regions in Traditional Terms; Data Management in a Data Grid; Data Distribution Policy; Data Distribution Policy Expression; Data Replication Policy; Data Replication Policy Expression; Synchronization Policy; Load-and-Store Policy; Data Load Policy Expression; Data Store Policy Expression; Event Notification Policy; Event Notification Policy Expression; Quality-of-Service (QoS) Levels; 10 Data SynchronizationIntraregion SynchronizationDiscover grid computing-how to successfully build, implement, and manage widely distributed computing architectureWith technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging wideComputational grids (Computer systems)Database managementComputational grids (Computer systems)Database management.004.3/6Di Stefano Michael1963-623682MiAaPQMiAaPQMiAaPQBOOK9911020350803321Distributed data management for grid computing1091360UNINA