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            <h1>Getting Started With VAST</h1>

            <ul class="meta">
              <li><span>Created :</span> 20/01/2022</li>
              <li><span>Last Updated:</span> 20/01/2022</li>
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            <p>
              VAST is a light-weight network library that supports Spatial
              Publish Subscribe (SPS) so that virtual worlds such as MMOGs and
              Second Life can be built more scalably.
            </p>
            <p>
              Existing virtual worlds rely on static resource provisioning and
              partitioning that are expensive to deploy and have inherent
              scalability limits. VAST intends to provide an open source
              alternative that is scalable, affordable, and easily deployable.
            </p>
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            <h2 id="howitworks">How it Works</h2>
            <p>
              VAST will have these properties due to a peer-to-peer (P2P)
              design, so that resource nodes can be added or removed any time,
              and dynamic load balancing is possible. VAST relies on a
              Voronoi-based Overlay Network (VON), which performs neighbor
              discovery and spatial queries in bounded amount of time (i.e., the
              query time does not increase as more nodes join the system).
              Additionally, VAST uses VSO to perform load balancing, and
              VoroCast to distribute messages via forwarding.
            </p>
            <p>
              VAST is also designed to be an experimentable middleware
              consisting of three major components: network-layer, protocol and
              simulator. Each is intended to be as self-contained as possible,
              and may be developed separately by different parties. This allows
              new algorithms or simulators be tried and tested for VAST's
              properties and performance.
            </p>
            <p>
              VAST utilizes existing open source software whenever possible.
              Specifically, Steven Fortune's sweepline algorithm is currently
              used for constructing Voronoi diagrams, and ACE is used as the
              underlying network layer to provide cross-platform extensibility.
            </p>
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                <h4>Knowledgebase Topics Categories</h4>
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                    <a href="#"> Introduction </a>
                    <ul>
                      <li><a href="#"> How to use this documentation? </a></li>
                      <li><a href="#"> How to find topics? </a></li>
                      <li><a href="#"> What is included and why? </a></li>
                      <li><a href="#"> Basic knowledge requirments. </a></li>
                      <li><a href="#"> Getting Started & What is next. </a></li>
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                  <li><a href="#"> Installation & Activation </a></li>
                  <li><a href="#"> Premium Members Features </a></li>
                  <li><a href="#"> API Usage & Guide lines </a></li>
                  <li><a href="#"> Getting Started & What is next. </a></li>
                  <li><a href="#"> Installation & Activation </a></li>
                  <li><a href="#"> Premium Members Features </a></li>
                  <li><a href="#"> API Usage & Guide lines </a></li>
                  <li><a href="#"> Getting Started & What is next. </a></li>
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