110,223 research outputs found
Clustering Algorithms for Scale-free Networks and Applications to Cloud Resource Management
In this paper we introduce algorithms for the construction of scale-free
networks and for clustering around the nerve centers, nodes with a high
connectivity in a scale-free networks. We argue that such overlay networks
could support self-organization in a complex system like a cloud computing
infrastructure and allow the implementation of optimal resource management
policies.Comment: 14 pages, 8 Figurs, Journa
Organization of Multi-Agent Systems: An Overview
In complex, open, and heterogeneous environments, agents must be able to
reorganize towards the most appropriate organizations to adapt unpredictable
environment changes within Multi-Agent Systems (MAS). Types of reorganization
can be seen from two different levels. The individual agents level
(micro-level) in which an agent changes its behaviors and interactions with
other agents to adapt its local environment. And the organizational level
(macro-level) in which the whole system changes it structure by adding or
removing agents. This chapter is dedicated to overview different aspects of
what is called MAS Organization including its motivations, paradigms, models,
and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page
A framework for proving the self-organization of dynamic systems
This paper aims at providing a rigorous definition of self- organization, one
of the most desired properties for dynamic systems (e.g., peer-to-peer systems,
sensor networks, cooperative robotics, or ad-hoc networks). We characterize
different classes of self-organization through liveness and safety properties
that both capture information re- garding the system entropy. We illustrate
these classes through study cases. The first ones are two representative P2P
overlays (CAN and Pas- try) and the others are specific implementations of
\Omega (the leader oracle) and one-shot query abstractions for dynamic
settings. Our study aims at understanding the limits and respective power of
existing self-organized protocols and lays the basis of designing robust
algorithm for dynamic systems
Hyperincursive Cogitata and Incursive Cogitantes: Scholarly Discourse as a Strongly Anticipatory System
Strongly anticipatory systems-that is, systems which use models of themselves
for their further development-and which additionally may be able to run
hyperincursive routines-that is, develop only with reference to their future
states-cannot exist in res extensa, but can only be envisaged in res cogitans.
One needs incursive routines in cogitantes to instantiate these systems. Unlike
historical systems (with recursion), these hyper-incursive routines generate
redundancies by opening horizons of other possible states. Thus, intentional
systems can enrich our perceptions of the cases that have happened to occur.
The perspective of hindsight codified at the above-individual level enables us
furthermore to intervene technologically. The theory and computation of
anticipatory systems have made these loops between supra-individual
hyper-incursion, individual incursion (in instantiation), and historical
recursion accessible for modeling and empirical investigation.Comment: arXiv admin note: substantial text overlap with arXiv:1011.324
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