Now, We are going to describe possibility of collaboration and process distribution on each of these.
Full Service:Some important points are: Load Balancing when several user connect to the system, security and data transfer, and ...Softwaredelivary:This is not a good method because data should transfer between server and local machine trought internet which is not efficient and also may cause security problem, losing or theifing the data.
Distributed and Collaborative Visualization
University of Amsterdam Amir Masoud AbdolDistributed andCollaborativeVisualizationK.W. Brodlie, D.A, Duce, J.R. Gallop, J.P.R.B Walton and J.D. Wood
Definitions▪ Scientific Visualization is computationally intensive.▪ Many Machine: Grid computing allows us to do intensive job.▪ Many human: Collaboration allows group of people to think about one or more subject at the same time.▪ Goal: ▪ To combine the collaboration workspaces or features like video conferencing or file sharing with the power of Grid computing. ▪ To harness the processing power of many humans and many machines.
Different Combinations of Using Many Peopleand Many Machine▪ Distributed Visualization System ▪ Facilities to use many machine▪ Collaborative Visualization System ▪ Facilities to use share and talk about visualization result▪ Distributed and Collaborative Visualization System ▪ Facilities to use many machine and share result or maybe modifying model
What you should consider to build such asystem?▪ Rules and Privilege of Users ▪ Users should have different rules in process▪ Place and Time of Process ▪ Different situation according to the time and place of members▪ Layers of the System ▪ Different layers of distributed collaborative system
Applegate Place-timematrixSame time, same place Meeting in meeting roomDifferent time, different place Sending data via mails or faxSame time, different place Video ConferencingDifferent time, same place!
Conceptual Layer (Visualization Design)Tasks Possible Collaboration▪ Designing the visualization process ▪ Using video conference to argue different method ▪ Screen Sharing ▪ Document Sharing ▪ Editing, ▪ Annotation, ▪ and …
Logical Layer (Software engineering)Tasks Possible Collaboration▪ Expressing visualization as a ▪ Using packages on local or server particular configuration of software entities without considering ▪ Using data on local or server hardware. ▪ Computing results on the cloud ▪ Sub-layer ▪ Logical visualization design ▪ See data on cloud, download it and ▪ Description of the composition of modules visualize it on local machine into a network ▪ Core software ▪ Available modules in a system
Physical Layer (Implementation)Tasks Possible Collaboration▪ Binding logical visualization • Working on code design and core software to particular resources.
Different implementations ofDistributed andCollaborative Visualization
Client BasedVisualization Data on Server •Private (Only one person can access) •Shared (Many users can access it) Data and Design •Visualization design is also available on Server
Server BasedVisualization• Image display on client• Model rendering on the client
Web Based Visualization Java for communication and Choosing Design visualization Full Service • Visualization is created remotely by the service provider • Only Graphical data deliver to local system Java for Interactivity • Using Java Applet for interactivity Software DeliveryMain difference between Web-based and Server-Based • Visualization Software downloadmaybe is data representation, In Server-based user can use to local machine, and read dataany core software but in Web-based Java uses to from server and visualize it.implement the result into HTML pages.
Different Factors of Distributed andCollaborative Visualization System▪ Base Visualization System Collaboration ▪ Ability to collaborate between different visualization system▪ Multiple Platform ▪ Collaboration between different platform, for instance, operation systems▪ Functionality ▪ Exchanging of data, Exchanging of parameters, Exchanging of modules, Exchanging of networks
Different Factor of Collaborative VisualizationSystem▪ Participation ▪ Setting up the system (Adminstratation) ▪ Joining/ Leaving (Registration) ▪ Automatic Launch/connection (Sharing Elements) ▪ Floor Control (Privileges) ▪ Data Privacy ▪ Global View
Different Factor of Collaborative VisualizationSystem▪ System ▪ Performance ▪ Reliability ▪ Scalability▪ Target Users ▪ Visualization Programmer ▪ Visualization End User