Index for Scaling, Distributing, and Tuning Applications
A
Application Assemblers, scaling tasks 4-5
application parameters
application scalability requirements 1-2
B
BLOCKTIME parameter 6-13, 6-14
bundling services
C
caching
create_object_reference() operation 2-15
D
data-dependent routing
about data-dependent routing
distributing applications
about distributing applications 5-2
characteristics of a distributed application 5-3
domain gateway file and routing 5-11
factory-based routing in multiple domains 5-11
DMCONFIG file
domain gateway configuration file (DMCONFIG) 5-11
E
EJB Providers
process-entity design pattern 4-5
stateful session beans, minimizing 4-3
stateless session beans, using 4-2
transactions, completing efficiently 4-4
entity beans
process-entity design pattern 4-5
F
factory-based routing
about factory-based routing 1-16
in JDBC Bankapp sample application 3-11
in Production sample application 2-12
configuring for multiple domains 5-11
implementing in a factory 2-15, 3-12
in JDBC Bankapp sample application 3-10
in Production sample application 2-11
G
I
IIOP Handler (ISH)
increasing the number of ISH processes 1-20
interfaces, assigning priorities to 6-9
IPC requirements
tuning queue-related kernel parameters 6-16
is-modified-method-name element 4-7
J
JDBC Bankapp sample application
additional design considerations 3-14
replicating server processes 3-4
scaling the application further 3-16
K
kernel parameters, tuning 6-16
L
load balancing
measuring service performance time 6-5
M
MAXACCESSERS parameter 6-12, 6-14, 6-15
MAXBUFSTYPE parameter 6-13, 6-14
MAXBUFTYPE parameter 6-13, 6-14
MAXGTT parameter 6-13, 6-14, 6-15
MAXINTERFACES parameter 6-12, 6-14
MAXSERVERS parameter 6-12, 6-14, 6-15
MAXSERVICES parameter 6-12, 6-14, 6-15
MSSQ sets
multiple server single queue (MSSQ) 6-2
multiplexing incoming client connections 1-19
multithreading
about multithreaded Java servers 1-13
configuring
number of concurrent accessors 6-8
O
object state management
in JDBC Bankapp sample application 3-3
in Production sample application 2-4
object state models
object state models
objects
OMG IDL, Production sample application 2-4
P
performance time, servopts(5) -r option 6-5
persistence
is-modified-method-name element 4-7
persistence-store-directory-root element 4-6
persistence-store-directory-root element 4-6
priorities
assigning to interfaces or services 6-9
process-entity design pattern 4-5
Production sample application
additional design considerations 2-17
replicating server processes 2-6
scaling the application further 2-22
R
replicating
about replicating server processes and server groups 1-10
server groups
about replicating server groups 1-12
in JDBC Bankapp sample application 3-6
in Production sample application 2-8
server processes
about replicating server processes 1-11
JDBC Bankapp sample application 3-4
Production sample application 2-6
resources, maximizing application 6-2-6-14
S
SANITYSCAN parameter 6-13, 6-14
scalability
support, in WLE applications 1-3
scaling tasks
server groups
server processes
SERVERS section
stateful objects
stateful session beans
minimizing state information 4-3
stateless objects
stateless session beans
System Administrators, scaling tasks for 4-8
T
traffic, measuring system 6-16-6-19
transactions, in EJB applications 4-4
determining IPC requirements 6-15
maximizing application resources 6-2
bundling services into servers 6-10
detecting a system bottleneck 6-17
using application parameters 6-11, 6-12, 6-13
U
UBBCONFIG file
distributed application example 5-10
GROUPS section
in JDBC Bankapp sample application 3-7
in Production sample application 2-9
SERVERS section
SERVICES section