Paper Info
Title
Application Areas of Ephemeral Computing: A Survey.
Abstract
It is increasingly common that computational devices with significant computing power are underexploited. Some of the reasons for that are due to frequent idle-time or to the low computational demand of the tasks they perform, either sporadically or in their regular duty. The exploitation of this otherwise-wasted computational power is a cost-effective solution for solving complex computational tasks. Individually device-wise, this computational power can sometimes comprise a stable, long-lasting availability window but it will more frequently take the form of brief, ephemeral bursts. Then, in this context a highly dynamic and volatile computational landscape emerges from the collective contribution of such numerous devices. Algorithms consciously running on this kind of environment require specific properties in terms of flexibility, plasticity and robustness. Bioinspired algorithms are particularly well suited to this endeavor, thanks to some of the features they inherit from their biological sources of inspiration, namely decentralized functioning, intrinsic parallelism, resilience, and adaptiveness. Deploying bioinspired techniques on this scenario, and conducting analysis and modelling of the underlying Ephemeral Computing environment will also pave the way for the application of other non-bioinspired techniques on this computational domain. Computational creativity and content generation in video games are applications areas of the foremost economical interest and are well suited to Ephemeral Computing due to their intrinsic ephemeral nature and the widespread abundance of gaming applications in all kinds of devices. In this paper, we will explain why and how they can be adapted to this new environment.
Year
DOI
Venue
2016
10.1007/978-3-662-53525-7_9
Trans. Computational Collective Intelligence
Keywords
Field
DocType
Ephemeral computing, Bioinspired optimization, Evolutionary computation, Complex systems, Autonomic computing, Distributed computing
Psychological resilience,Complex system,Content generation,Autonomic computing,Computer science,Evolutionary computation,Robustness (computer science),Ephemeral key,Computational creativity,Distributed computing
Journal
Volume
ISSN
Citations 
24
0302-9743
3
PageRank 
References 
Authors
0.38
30
8
Name
Order
Citations
PageRank
Carlos Cotta141644.36
Antonio José Fernández Leiva2509.97
Francisco Fernandéz3589.36
Francisco Chávez4419.22
Juan J. Merelo517726.16
Pedro A. Castillo617733.68
David Camacho7102.28
María D. R-Moreno89715.22