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Communication Efficient Algorithms for Generating Massive Networks

Lamm, Sebastian

Massive complex systems are prevalent throughout all of our lives, from various biological
systems as the human genome to technological networks such as Facebook or Twitter.
Rapid advances in technology allow us to gather more and more data that is connected to
these systems. Analyzing and extracting this huge amount of information is a crucial task
for a variety of scientific disciplines.
A common abstraction for handling complex systems are networks (graphs) made up of
entities and their relationships. For example, we can represent wireless ad hoc networks in
terms of nodes and their connections with each other.We then identify the nodes as vertices
and their connections as edges between the vertices. This abstraction allows us to develop
algorithms that are independent of the underlying domain.
Designing algorithms for massive networks is a challenging task that requires thorough
analysis and experimental evaluation. A major hurdle for this task is the scarcity of publicly
available large-scale datasets. To approach this issue, we can make use of network generators
[21]. These generators allow us to produce synthetic ... mehr

Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Hochschulschrift
Jahr 2017
Sprache Englisch
Identifikator DOI(KIT): 10.5445/IR/1000068617
URN: urn:nbn:de:swb:90-686179
KITopen ID: 1000068617
Verlag Karlsruhe
Umfang X, 98 S.
Abschlussart Abschlussarbeit - Master
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