Now showing items 1-8 of 8

    • The Case for Enhanced Abstract Data Types 

      Seshadri, Praveen; Livny, Miron; Ramakrishnan, Raghu (Cornell University, 1997-01)
      Support for complex data in object-relational database systems is based on abstract data types (ADTs). We argue that the current ADT approach inhibits the performance of queries that involve expensive operations on data ...
    • Client-Site Query Extensions 

      Mayr, Tobias; Seshadri, Praveen (Cornell University, 1998-11)
      We explore the execution of queries with client-site user-defined functions (UDFs). Many UDFs can only be executed at the client site, for reasons of scalability, security, confidentiality, or availability of resources. ...
    • A Compression Framework for Query Results 

      Chen, Zhiyuan; Seshadri, Praveen (Cornell University, 1998-11)
      Decision-support applications in emerging environments require that entire SQL query results be shipped to clients for further analysis and presentation. These clients may use low bandwidth connections (like modems) or ...
    • Pervasive Query Processing 

      Mayr, Tobias; Seshadri, Praveen (Cornell University, 1999-05)
      We propose a radical departure from the architecture of conventional server-centered database query processing systems. Instead, we propose pervasive query processing on every component of the system: the server, the ...
    • Query Processing in a Device Database System 

      Bonnet, Philippe; Gehrke, Johannes; Mayr, Tobias; Seshadri, Praveen (Cornell University, 1999-10)
      In the next decade, networks of devices will be widely deployed for measurement, detection and surveillance applications. Millions of sensors and small-scale mobile devices will integrate processors, memory and communication ...
    • Query Processing with Heterogeneous Resources 

      Mayr, Tobias; Bonnet, Philippe; Gehrke, Johannes; Seshadri, Praveen (Cornell University, 2000-03-16)
      In emerging systems, CPUs and memory are integrated into active disks, controllers, and network interconnects. Query processing on these new multiprocessor systems must consider the heterogeneity of resources among the ...
    • Relational Query Optimization with Enhanced ADTs 

      Seshadri, Praveen (Cornell University, 1998-07)
      Object-relational queries access large complex data types and expensive methods of those data types. In earlier work, we modeled complex types as "Enhanced ADTs" (E-ADTs) and demonstrated the resulting performance ...
    • Resource Control for Database Extensions 

      Czajkowski, Grzegorz; Mayr, Tobias; Seshadri, Praveen; von Eicken, Thorsten (Cornell University, 1998-11)
      While object-relational database servers can be extended with user-defined functions (UDFs), the security of the server may be compromised by these extensions. The use of Java to implement the UDFs is promising because it ...