Index
[SYMBOL]
[A]
[B]
[C]
[D]
[E]
[F]
[G]
[H]
[I]
[J]
[K]
[L]
[M]
[N]
[O]
[P]
[Q]
[R]
[S]
[T]
[U]
[V]
[W]
daemon threads
data [See also checkpoint, state.]
contention avoidance
and scalability
hiding
thread-safety use
nonatomic
64-bit operations
sharing [See also page renderer examples.]
access coordination 2nd
advantages of threads
shared data models
synchronization costs
split data models 2nd
stale
versioned data model
data race 2nd
race condition vs
data structure(s) 2nd 3rd 4th 5th [See also concurrent/concurrency, collections.] [See also cooperation/cooperating, objects.] [See also block(ing), queues, and thread pool management.] [See also stack(s).] [See also tree(s).]
handling
[See cache/caching, implementation issues, atomic/atomicity.] [See guidelines, confinement.] [See guidelines, encapsulation.] [See iterators/iteration.] [See recursion.]
protection
and interruption handling
shared
as serialization source
testing insertion and removal handling
database(s)
deadlock recovery capabilities
JDBC Connection
thread confinement use
thread pool size impact
Date
effectively immutable use
dead-code elimination
and performance testing
deadline-based waits
as feature of Condition
deadlock(s) 2nd 3rd 4th [See also concurrent/concurrency, errors.] [See also performance, liveness.] [See also guidelines, safety.]
analysis
thread dump use
as liveness failure
avoidance
and thread confinement
nonblocking algorithm advantages 2nd
strategies for
cooperating objects
diagnosis
strategies for
dynamic lock order
in GUI framework
lock splitting as risk factor for
locking during iteration risk of
recovery
database capabilities
polled and timed lock acquisition use 2nd
timed locks use
reentrancy avoidance of
resource
thread starvation 2nd 3rd
deadly embrace
[See analysis, deadlock.]
death, thread
abnormal, handling
debugging 2nd 3rd 4th 5th [See also deadlock(s), analysis.] [See also strategies, design.] [See also guidelines, documentation.] [See also deadlock(s), recovery.] [See also buffer(s), testing.]
annotation use
concurrency
costs vs. performance optimization value
custom thread factory as aid for
JVM optimization pitfalls
thread dump use
thread dumps
intrinsic lock advantage over ReentrantLock
unbounded thread creation risks
decomposition 2nd 3rd [See also fragility, solutions, composition.] [See also strategies, delegation.] [See also guidelines, encapsulation.]
producer-consumer pattern
tasks-related
Decorator pattern
collection class use for wrapper factories
decoupling
of activities
as producer-consumer pattern advantage
task decomposition as representation of
of interrupt notification from handling in Thread interruption handling methods
task submission from execution
and Executor framework
delayed tasks [See also time/timing.]
handling of
DelayQueue
time management
delegation 2nd 3rd [See also fragility, solutions, composition.] [See also strategies, design.] [See also guidelines, safety.]
advantages
class extension vs
for class maintenance safety
thread safety
failure causes
management
dependencies 2nd 3rd 4th 5th 6th [See also cache/caching, implementation issues, atomic/atomicity.] [See also guidelines, invariants.] [See also guidelines, postconditions.] [See also precondition(s).] [See also checkpoint, state.]
code
as removal, as producerconsumer pattern advantage
in multiple-variable invariants
thread safety issues
state
blocking operations
classes
classes, building
managing
operations
operations, condition queue handling
task freedom from, importance of
task
and execution policy
thread starvation deadlock
task freedom from
importance
Deque
deques 2nd 3rd [See also concurrent/concurrency, collections.] [See also shared/sharing, data structures.] [See also block(ing), queues, and thread pool management.]
work stealing and
design 2nd 3rd 4th 5th [See also guidelines, documentation.] [See also design, of thread-safe classes, guidelines.] [See also execution, policies.] [See also task(s), representation.] [See also design, strategies.]
class
state ownership as element of
concurrency design rules
concurrency testing
condition queue encapsulation
condition queues
and condition predicate
control flow
latch characteristics
execution policy
influencing factors
GUI single-threaded use
rationale for
importance
in thread-safe programs
of thread-safe classes
guidelines
parallelism
application analysis for
parallelization criteria
performance
analysis, monitoring, and improvement
performance tradeoffs
evaluation of
principles
simplicity of final fields
producer-consumer pattern
decoupling advantages
Executor framework use
program
and task decomposition
result-bearing tasks
representation issues
strategies
for InterruptedException
thread confinement
thread pool size
relevant factors for
timed tasks
tradeoffs
collection copying vs. locking during iteration
concurrent vs. synchronized collections
copy-on-write collections
synchronized block
timeliness vs. consistency 2nd 3rd
design patterns
antipattern example
double-checked locking
examples
[See wrapper(s), factories, Decorator pattern.] [See MVC (model-view-controller) pattern.] [See consumers, producer-consumer pattern.] [See Singleton pattern.]
destruction
[See thread(s), teardown.]
dining philosophers problem [See also analysis, deadlock.]
discard saturation policy
discard-oldest saturation policy
documentation 2nd 3rd 4th 5th [See also concurrent/concurrency, debugging.] [See also strategies, design.] [See also good practices.] [See also design, of thread-safe classes, guidelines.] [See also policy(s).]
annotation use 2nd
concurrency design rules role
critical importance for conditional notification use
importance
for special execution policy requirements
stack confinement usage
of synchronization policies
safe publication requirements
double-checked locking (DCL) 2nd
as concurrency bug pattern
downgrading
read-write lock implementation strategy
driver program
for TimedPutTakeTest example
dynamic [See also measurement, responsiveness.]
compilation
as performance testing pitfall
lock order deadlocks
|
