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Distributed Logging in Java with Constrained Resource Usage

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Title: Distributed Logging in Java with Constrained Resource Usage


1
Distributed Logging in Javawith Constrained
Resource Usage
  • Sunil Brown Varghese, Daniel Andresen
  • Dept. of Computing and Information Sciences
  • Kansas State University

2
Overview
  • Introduction to Logging
  • Distributed Logging
  • Distributed Logging with RMI
  • Conclusions

3
Introduction
  • Everyone logs in one way or other
  • print(), out, System.out.print() are examples of
    console logging
  • Large systems like aircraft monitoring systems,
    transactionbased financial processes may log
    into multiple targets

4
Advantages of Logging
  • Feedback to developers during development cycles
  • Provide system diagnostic alerts from production
    systems
  • Provide information for statistical analysis of
    working of a system
  • Delivery based on levels of importance could
    improve efficiency in development cycle

5
Logging options
  • The Log4J Project
  • Logging Toolkit for Java from IBM
  • Java 2 Standard Edition (v1.4.0 onward)

6
Distributed Logging
7
Distributed Logging
  • Log4j has good support for sending log messages
    to multiple log servers by TCP/IP socket
    connections
  • J2SE provides the Java Logging framework by
    default and supports distribution of log messages
    by socket connections (though listeners are left
    to the developer)

8
Java Logging Framework
9
Observation effects the Observed
  • If generated at a high rate, distributed log
    messages may swamp the processor and the network
    connections whereby decreasing system performance
    and the accuracy of the log analysis
  • Solution Limit the use of distributed log
    messages to critical and non-repetitive sections
    of code and buffer messages

10
Distributed Logging with RMI
  • Transmission of Log messages with RMI calls
    allows the log objects to be recorded at remote
    sites as is
  • Log messages may be modified easily ( say based
    on network load, exception objects may be removed
    from log)

11
Representation
12
Extending the Java Logging Framework
  • RMI Handler extended from Handler class ensuring
    compatibility with Logger and security in-built
    into Java Logging
  • The logging levels may be varied dynamically
    against bandwidth usage by providing level
    information in an XML file

13
Class View Client Side
14
Class View Server Side
15
Sample Levels.xml file
  • lt?xml version'1.0'?gt
  • ltparam-listgt
  • ltcutoffgt1600lt/cutoffgt
  • ltcutoffgt1400lt/cutoffgt
  • ltcutoffgt1200lt/cutoffgt
  • ltcutoffgt1000lt/cutoffgt
  • ltcutoffgt800lt/cutoffgt
  • ltcutoffgt600lt/cutoffgt
  • ltcutoffgt500lt/cutoffgt
  • lt/param-listgt

16
RMI Log Server
  • Instantiates a logger and assigns the RMI Handler
    and other Handlers based on an XML file
  • Server binds to the specified machine and port
    (binding data from input XML file)
  • This framework allows a chain of RMI Servers to
    be formed connected by RMI Handlers in a tree
    fashion

17
Bandwidth Computation
  • TCP/IP based weighted average method is used to
    update bandwidth
  • Bandwidth is sampled for a Sampling Time and it
    is reset for a fresh start
  • If there is no bandwidth updates for an
    Inactivity Tolerance period, the Bandwidth is
    reset

18
RMI Log Buffer
  • The RMI Handler may buffer the log messages so as
    to reduce the number of RMI calls needed. This
    could dramatically raise the efficiency of
    transmission
  • The RMI Buffer ensures message transmission under
    normal RMI Handler operation and abnormal
    termination

19
RMI Log Server GUI
  • The GUI connects to RMI Log Server and provides
    time graphs of bandwidth statistics
  • The cutoffs along with bandwidth variance are
    shown

20
RMI Log Server GUI
21
RMI Log Server GUI Connection
  • As there isnt a unique naming scheme for RMI
    Handlers connected to a logger, the URL and port
    information is used as RMI Handler identifier

22
RMI Log Server GUI Connection
23
Limitations / Assumptions
  • Leveling thresholds at the RMI Handler level are
    to be set intuitively by the user
  • Log message sizes were taken as constants for
    testing purposes
  • The overhead of making an RMI call is heavier
    than sending data through TCP/IP sockets

24
Conclusions
  • RMI Logging allows the recreation of log messages
    in remote sites as long as all sub-components
    are serializable
  • Allows the exception objects to be stored in
    remote repositories
  • RMI Handler can monitor its bandwidth usage and
    discard log messages of low level

25
Future work
  • RMI Handler may maintain a server list so that if
    one RMI Log Server fails, it retransmits to
    secondary servers
  • The GUI interface can be developed further to
    remotely control RMI Log Servers

26
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