Logistical Networking Session - Abstracts

Title: Recent Developments in Logistical Neworking
Micah Beck, University of Tennessee, USA

The fundamental technologies that Logsitical Networking have been defined an
deployed for some time: the Internet Backplane Protocol, the Logistical
Backbone service, the exNode, and the Logistical Runtime Service.  However,
new versions of these technologies and new middleware components under
current developments at the University of Tennessee's Logistical Computing
and Internetworking (LoCI) Laboratory promise to enhance and extend the
capabilities of Logistical Networking in exciting new ways.  This talk by
the Director of LoCI Lab will give an overview of recent and expected
developments in over the coming year.


Title: Scalable and Topologically-aware Application-layer Multicast
Yusung Kim, KAIST, Korea

Logistical Networking is one of the end-to-end approaches for globally
scalable network storage. It is applied to large-scale distributed network
storage system such as web caching, FTP mirroring, Content Distribution
Network (CDN), and Data Grid etc. To transfer data to large-scale
distributed nodes through Logistical Networking, a scalable and efficient
mechanism for one-to-many data transfer is necessary. Multicasting is an
efficient mechanism for one-to-many data transfer application. It eliminates
redundant packet replication and decouples the size of the receiver set.
However deployment of network-layer multicast has not been widely adopted
and thus Internet is still incapable of native multicast. Application-layer
Multicast approaches do not change the network infrastructure, instead they
implement multicast forwarding functionality at end-host. Tree first
approach improved scalability of application-layer multicast, however it
does not consider global topology information. Constructing data paths
without topological information which is congruent with the underlying
IP-level topology, the data paths may include unnecessary high latency hops
and make network resource usage increased.

In this thesis, we propose a landmark based approach which adds landmark
scheme to tree first approach for the scalable application-layer multicast.
Measuring network latency to each landmark, we can approximate global
topology information and construct topologically-aware data paths. Our
results of the performance evaluation indicate that the landmark based
approach can reduce average path delay (from source to each member) and
total link latency of data paths over the tree first approach, and still
offer the scalability of the tree first approach at the same time.



Title: The TeraScale Supernova Initiative: A Networking Challenge
Anthony Mezzacappa, Oak Ridge National Laboratory, USA

The TeraScale Supernova Initiative (TSI) is a national, multidisciplinary
initiative involving several dozen researchers at a dozen institutions
across the United States. TSI's goal is to ascertain the explosion mechanism
for the class of supernova explosions that mark the death of massive stars,
which are more than ten times the mass of the Sun, and to understand all of
the phenomena associated with these explosions, such as their element
synthesis, the generation of gravitational waves, and the emission of bursts
of gamma radiation. These supernovae are known as core collapse supernovae
and are the single most important source of elements in the Universe,
without which life as we know it would not exist. A complete understanding
of core collapse supernovae will require three-dimensional simulations of
the turbulence, rotation, radiation, magnetic fields, and strong
gravitational fields in massive stars at the ends of their lives, as well as
their nonlinear coupling. Such simulations are currently generating tens of
TeraBytes of data per simulation. Within the next two years these same
simulations will generate hundreds of TeraBytes of data per simulation. This
presents an immediate and severe challenge to data management and
networking. How will this distributed team of researchers generate, manage,
analyze, and ultimately render simulation data at this scale for scientific
discovery? Moreover, TSI will require technology to facilitate a range of
functionality, from bulk data transfer to collaborative visualization. In
this presentation, we outline TSI's goals and challenges, and document our
recent success in the deployment of logistical networking to fulfill TSI's
current networking needs.