Evaluating collaborative infrastructure for cscw apps grid web services
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Evaluating Collaborative Infrastructure for CSCW Apps Grid/Web Services. COMP 790, Fall 2006 Collaborative Systems. References. CoFrame: A framework for CSCW Applications based on Grid and Web Services

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Evaluating Collaborative Infrastructure for CSCW Apps Grid/Web Services

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Evaluating collaborative infrastructure for cscw apps grid web services

Evaluating Collaborative Infrastructure for CSCW AppsGrid/Web Services

COMP 790, Fall 2006

Collaborative Systems



  • CoFrame: A framework for CSCW Applications based on Grid and Web Services

    • Jinlei Jiang et al, Proceedings of IEEE International Conference on Web Services (ICWS 2005)

  • Developing Collaborative Editing Applications using Web Services

    • Muhammad Younas, Rahat Iqbal, Coventry University, Coventry, UK

  • Improving Network Efficiency in Real-Time Groupware with General Message Compression

    • Carl Gutwin et al CSCW 2006

  • A Collaborative Infrastructure for Aerospace Design

    • http://ic.arc.nasa.gov/people/filman/text/darwin/ace.pdf

  • A Collaborative Infrastructure for IM applications

    • http://www.imlogic.com/

  • A Collaborative Infrastructure for Scalable and Robust News Delivery

    • http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2002.1030843

Collaborative infrastructure

Collaborative Infrastructure

  • CSCW Applications and Infrastructure

    • Are they the same ?

  • What is a CSCW Application:

    • N-user software

    • Example: Chat Tool

Cscw infrastructure

CSCW Infrastructure

  • Higher Level of abstraction that provides application developers a framework to build CSCW applications.

  • Example:

    • We have already used one:

    • “Sync”: A Java based framework for

      developing collaborative


Evaluating criteria

Evaluating Criteria

Features supported flexibility

Features Supported / Flexibility

  • NewsWire collaborative content delivery system

    • Deals with real-time delivery of news items

    • Reduces Compute/Network load


    • Collab Infrastructure for AeroSpace Design

      • Issues such as: wind tunnel testing data

    • Focus:

      • Storing/Indexing data

      • Manage visualizations for stored/derived data

  • IMLogic

    • IM Application development infrastructure

  • Drawbacks

    • Specific to one application.

    • Deal with some core issues but not all

  • Alternatives:

    • Sync (Framework for Collaborative Applications)

    • Web Services and Grid Computing

Features supported grid web

Features supported – Grid/Web

  • Provide Core Services and additional services

    • Core Services:

      • Communication

        • Cooperative Message Bus (CMB)

        • RMI (Sync Equivalent)

        • SOAP (Simple Object Access Protocol)

    • Additional Services:

      • Process Management Service

      • Awareness Support Service

      • Interaction-Aided Service

        • Directory Service

          • UDDI (Universal, Description, Discovery and Integration)

          • Central Registry (similar to UDDI)

          • RMI registry (Sync)

        • Persistence Visual Cooperation space facility

  • Easier to add new functionality as it gets added as another service in the framework

Programming model environment

Programming Model (Environment)

  • Grid Computing

    • Use existing infrastructure to manage data, resources and to collaborate to solve a large scale problem.

    • Use multiple computer (resources) to build a Virtual computer architecture

    • Open unlike Sync (closed)

Programming model environment1

Programming Model (Environment)

  • Scalability

    • Firewalls

  • Description of Services:

    • CoFrame: WSDL (Web Services Description Language)

    • Sync: Java

  • Coding Language

    • CoFrame

    • Sync

  • Globus Toolkit 3

    • OpenSource

    • Industry Standard

Programming cost transparency

Programming Cost (Transparency)

  • Developers need to only concern themselves with services being offered and not how the services are implemented.

  • CoFrame Architecture:

    • Grid layer separates Application layer from Resource layer

    • Younas/Iqbal doesn’t provide such an abstraction.

    • Sync (Integrated RMI)

Consistency of data

Consistency of Data

  • Younis/Iqbal propose a transaction based model similar to ACID concepts

  • ACID (Atomic, Consistent, Isolated, Durable)

  • SACReD

  • CoFrame doesn’t mention Consistency of data but the SACReD approach can be implemented in the CMB part of the framework

Fault tolerance

Fault Tolerance

  • Central server easier to secure (one point of failure)

    • Grid Architecture (Distributed)

    • CoFrame provides for:

      • Single Sign On Service

Resource optimization

Resource Optimization

  • Bottleneck : Network Bandwidth and Latency

    • Effects:

      • Deterioration of user experience

    • Example:

      • Video Chat with video frame updating every two seconds

  • How to Fix this:

    • Improve resources

      • Better network layout

    • Optimize current resources

      • Message Compression

      • Resource Replication Policy

Resource optimization message compression

Resource Optimization:“Message Compression”

  • Why Needed ?

    • Collaborative applications share a lot of data.

    • Inter-collaborative application messages

    • Example:

      • Dragging a window across screen

        • Updates need to be sent consistently to all connected clients

    • Use of XML

    • Message must include:

      • Sender id, message id, application id, timestamp, message type, fieldnames and data values corresponding to each field

  • Send messages less frequently ?

  • Encoding before sending, decoding on receiving

    • Gutwin proposes a mix of Ziv-lempel algorithm, Huffman

      Coding and building a dictionary of sequences with short lookup


Message compression

Message Compression

  • Sources of Inefficiency in Groupware messages

    • Repetition Within a single message

    • Repetition between messages

    • Inefficient Coding

      • Encoding of numbers.

      • Field widths for numeric data types.

Message compression algorithm

Message Compression - Algorithm

  • Within-Message Issues:

    • Use standard zlib algorithm

      • Helpful when sending large messages

  • Between-messages Compression

    • Treat one message as template

    • Compare subsequent against that template, to determine repeated sequences

    • Replace repeated sequences by codes in a


    • Create new templates if messages not similar

Resource replication

Resource Replication

  • Replication of resource

    • Backup of Data

    • More optimized – can serve from best source

  • Centralization of resource

    • Easier to implement

  • Grids are distributed in nature

    • Replication model proposed by CoFrame

Resource replication1

Resource Replication

  • Resources stored independent of working nodes

  • Provider publishes to one server

    • Broadcast message using CMB to store metadata

Heterogeneous systems

Heterogeneous Systems

  • CSCW Application built for different resources

    • Example: Two collaborators (A & B) connected using two different devices

    • A has good Network (Cable/DSL) while B is on a relatively poor network (Dialup)

    • Both on a Video Chat or using a 3D graphics application

  • Compression of data

  • Lower bit-rate



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