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[Author] Haengrae CHO(2hit)

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  • Concurrency Control for Read-Only Client Transactions in Broadcast Disks

    Haengrae CHO  

     
    PAPER-Broadcast Systems

      Vol:
    E86-B No:10
      Page(s):
    3114-3122

    Broadcast disks are suited for disseminating information to a large number of clients in mobile computing environments. In broadcast disks, the server continuously and repeatedly broadcasts all data items in the database to clients without specific requests. The clients monitor the broadcast channel and read data items as they arrive on the broadcast channel. The broadcast channel then becomes a disk from which clients can read data items. In this paper, we propose a cache conscious concurrency control (C4) algorithm to preserve the consistency of read-only client transactions, when the values of broadcast data items are updated at the server. The C4 algorithm is novel in the sense that it can reduce the response time of client transactions with minimal control information to be broadcast from the server. This is achieved by the judicious caching strategy of the client and by adjusting the currency of data items read by the client.

  • Cache Coherency and Concurrency Control in a Multisystem Data Sharing Environment

    Haengrae CHO  

     
    PAPER-Databases

      Vol:
    E82-D No:6
      Page(s):
    1042-1050

    In a multisystem data sharing environment (MDSE), the computing nodes are locally coupled via a high-speed network and share a common database at the disk level. To reduce the amount of expensive and slow disk I/O, each node caches database pages in its main memory buffer. This paper focuses on the MDSE that uses record-level locking as a concurrency control. While the record-level locking can guarantee higher concurrency than page-level locking, it may result in heavy message traffic. In this paper, we first propose a cache coherency scheme that can reduce the message traffic in the standard locking. Then the scheme is extended to the context where lock caching and lock de-escalation are adopted. Using a distributed database simulation model, we evaluate the performance of the proposed schemes under a wide variety of database workloads.