[ Team LiB ]

[SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] [Z] data     compressing  [See compression]     duplication in distributed applications      parallelism  Data Access Object design pattern  data structures      collections          arrays, advantages/disadvantages of          Java 2 framework          presizing          specialized for primitives      in JDBC      performance checklist      replacing with faster  data types     collection elements, lighter typing of      conversions between, costs of      converting to strings      dynamic checks, eliminating  2nd      Java, closely matching with database types      numeric, using ints for      primitive  [See also primitive data types]         arrays of, fast casts          reducing garbage collection with          replacing others with ints          using instead of Object types      references          types of  DatabaseMetaData class  2nd  databases     JDBC  [See JDBC]     location of      object      optimizations          access with Data Access Objects in EJB          communications, performance checklist for      partitioning      performance problems with  2nd      server-side processing, minimizing  DataInputStream class  2nd  DataOutputStream class  Date class, replacing with your own version  Deadlock class (example)  deadlocks  2nd      identifying in stack traces      unsynchronized classes and  debug statements  debugging code, logging and  decompilers  Decorator objects in EJB  decoupling I/O from application processes  defensive programming  defineColumnType( ) (OracleStatement)  defragmenting disks  delays (cumulative), user impatience and  delivery of messages     load balancing and      modes  deployment descriptors (EJB), setting transaction timeouts in  deserialization  2nd  [See also serialization]     constructors, avoiding use of  design phase of development      distributed applications      object design      performance checklist      predicting performance          batch processing          comparative performance of operations          data conversions, costs of          focusing on shared resources          parallelism, effects of          relative costs of different access and update types          simulations and benchmarks, using          total work done and design overhead      requiring performance predictions from designers      scaling      shared resources          locking          parallelism          transactions  design, EJBs     performance checklist for      performance-optimizing          caching services          combining EJBs          CPU usage          Data Access Objects          efficient transfer of large datasets          load balancing          message handling          reducing locking conflicts          reusing objects          Value Objects      primary guidelines          business logic, representing          caching JNDI lookups          container-managed or bean-managed persistence          granularity          read-only data          stateless session beans for speed          transactions  destroy( ) (Servlet)  desynchronization  2nd  [See also synchronization] development     analysis phase          performance-tuning considerations      design and architecture  [See design phase of development]     performance checklist for analysis and design phases  digital search tries      ternary search tree, using with  dirty flags, using to avoid writing unchanged EJBs to database  disks     I/O  2nd      network      pages on      throughput  distributed applications     analysis phase of development      bottlenecks      client/server communications, monitoring      designing for good performance      measurements of      performance checklists      performance tuning  2nd  3rd          batching  2nd          caching          message reduction          partitioning applications      proxies, use in      streaming, use in      targeting topmost bottleneck  distributed computing      caching with synchronization (EJB application server)      comparing communication layers      database         location of          optimizations of      garbage collection      low-level communication optimizations          batching transfers          caching          compression          multiplexing      objects, preallocating      performance checklist      tools for application monitoring          relay servers      transactions      Web Services          measuring performance  DLLs (dynamic link libraries), caching  DNS (Domain Name System)     load balancing          hardware load balancer, using with      looking up network addresses      lookup times, measuring for Web Services  doGet( ) and doPost( ) methods, getting execution times  Domain Name System  [See DNS] double data type     converting to strings      Double class, profiling calls to equals( )      parsing doubles from strings with floating-point numbers      replacing with ints for performance gains  downloading many pages from a web server  downtime for servers, performance and  drivers, JDBC      connection pools      optimized, for EJB application server  dropped packets on congested networks  dummy objects  duplicate delivery mode  duplication of data in distributed applications  dynamic class loading, lazy initialization and  dynamic link libraries (DLLs), caching  dynamic method calls, effect on CPUs  dynamic type checks, eliminating  dynamic URL generation