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jGMA: A lightweight implementation of the Grid Monitoring Architecture

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Title: jGMA: A lightweight implementation of the Grid Monitoring Architecture


1
jGMA A lightweight implementation of the Grid
Monitoring Architecture
  • Mat Grove
  • Distributed Systems Group
  • University of Portsmouth
  • http//dsg.port.ac.uk/mjeg/

2
Outline
  • Motivation.
  • An overview of GMA.
  • Implementation jGMA.
  • jGMA performance.
  • Summary and future work.

3
Motivation
  • GridRM is
  • A generic resource monitoring system basically
    a framework for gathering data from heterogeneous
    data sources.
  • A scalable means of monitoring resources
    distributed over the Grid.
  • Written in Java, using commons standards
  • Agent API, Servlets, XML, etc.
  • GridRM needed a standards-based transport layer
    to bind together its sites.
  • A GMA-based transport appears best candidate.

4
An Overview of the Grid Monitoring Architecture
  • The GGF GMA is the recommended means for
    monitoring within the Grid.
  • The GMA document (2001) recommends
  • A publish, subscribe and bind architecture.
  • An implementation that is
  • Secure and scalable.
  • Has a low latency and high data rate.
  • Imposes minimal impact.
  • GMA compliancy
  • Approximately 20 features.
  • GGF document is only a guide.

5
GMA Components
  • Registry
  • Register/Publish
  • Register/Search
  • Bind
  • Producer
  • Consumer
  • Events

6
Some GMA Implementations
  • Embedded implementations
  • For example, Globus MDS
  • MDS3 planned to be standalone system.
  • Standalone implementations
  • Berkeley National Lab pyGMA.
  • Datagrid R-GMA.
  • None of these meet systems meet GridRM
    requirements
  • Compatible API (Java).
  • Minimal dependencies.
  • GMA compliant.
  • Led us to develop jGMA.

7
jGMA Components
  • jGMA has the following components
  • Registry.
  • Producer, Consumer (shared code-base).
  • PC Servlet.
  • jGMA features
  • Small API (lt20 calls).
  • No dependencies.

8
jGMA Implementation
9
jGMA Performance
  • Optimising LAN-based performance
  • In the first instance point-to-point
    communication
  • Need both blocking and non-blocking I/O.
  • Interested in latency and throughput.
  • Scalability of jGMA producer(s)/consumer(s)
  • Single consumer/producer multiple producers or
    consumers.
  • Some testing issues
  • Java timer resolution
  • Java only has clock with millisecond resolution,
    JNI native clock is required.
  • Configuration of the JVM.

10
jGMA Performance (Cont)
  • Optimise jGMA I/O
  • Initial results were not satisfactory
  • Moved from RMI to Sockets.
  • Improve performance by
  • Minimising the number of times data is copied.
  • Moved from Java objects to byte arrays.
  • Improved message queue handling.

11
Test Configuration
  • Configuration
  • One Consumer and One Producer.
  • Same machine (Localhost) and Fast Ethernet.
  • Vary message sizes.
  • Standard Ping Pong test.
  • Designed to measure
  • Message latency of jGMA I/O.
  • Maximum throughput.

12
Message Latency Results
  • Time (Microseconds)

256k
  • Message Length (Bytes)

13
Message Throughput Results
  • Bandwidth (Mbytes/S)
  • Message Length (Bytes)

14
Scalability Test Configuration
  • Configuration
  • One Consumer multiple Producers
  • Could be other way around and get same results.
  • Over Fast Ethernet.
  • Selected Message Sizes appropriate for GridRM.
  • Designed to measure
  • Scalability of Consumer/Producer setup.
  • Maximum Consumer/Producer message consumption.
  • Producer/Consumer stability under extreme loading.

15
Scalability Results
  • Messages Per Second
  • Number Of Producers

16
Summary and Future Work
  • Summary
  • jGMA is a reference implementation of GMA in
    Java.
  • jGMA is a simple, scalable and robust system.
  • Our early tests show that jGMA has good
    performance.
  • Future developments
  • Optimisation of I/O for WAN communications
  • HTTP/Objects
  • Implement a persistent registry
  • File.
  • Xindice.
  • Deployment with GridRM.

17
Acknowledgements
  • University of Portsmouth,
  • Member of the DSG
  • Mark Baker,
  • Hong Ong,
  • Garry Smith,
  • Mr Boe-akis,
  • Aamir Shafi.

18
Information
  • Project Web page
  • http//dsg.port.ac.uk/projects/jGMA/
  • The DSG Web page
  • http//dsg.port.ac.uk/
  • GridRM
  • http//gridrm.org/
  • Related links
  • GGF http//www.gridforum.org/
  • R-GMA http//www.r-gma.org/
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