Diffusive load-balancing policies for dynamic applications

Corradi, Antonio; Leonardi, Letizia; Zambonelli, Franco

doi:10.1109/4434.749133

Cited by 100 publications

(65 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As far as distributed data aggregation is concerned, although not always connected with spatial awareness, di↵usive algorithms [Corradi et al, 1999] and gossip-based aggregation algorithms [Jelasity et al, 2005] are worth mentioning. Such approaches have been proposed as simple yet very e↵ective approaches to compute and make available at each node of a network that aggregates values related to some global property of a network.…”

Section: Regional Fusion Of Uniform Sensorsmentioning

confidence: 99%

Spatial awareness in pervasive ecosystems

Dobson

Viroli

Fernandez-Marquez

et al. 2016

The Knowledge Engineering Review

View full text Add to dashboard Cite

Pervasive systems are intended to make use of services and components that they encounter in their environment. Such systems are naturally spatial in that they can only be understood in terms of the ways in which components meet and interact in space. Rather than treating spatiality separately from system components, researchers are starting to develop computational models in which the entire structure of a pervasive system is modelled and constructed using an explicit spatial model, supporting multi-level spatial reasoning, and adapting autonomously to spatial interactions. In this paper we review current and emerging models of spatial computing for pervasive ecosystems, and highlight some of the trends that will guide future research.

show abstract

Section: Regional Fusion Of Uniform Sensorsmentioning

confidence: 99%

Spatial awareness in pervasive ecosystems

Dobson

Viroli

Fernandez-Marquez

et al. 2016

The Knowledge Engineering Review

View full text Add to dashboard Cite

show abstract

“…But during the run time, the distribution can change and the load can be skewed. So, we use a Load Balancer similar to the Direct Neighbor Repeated [18] load-balancing approach. Each node periodically exchanges messages to its neighbor about its own load along with the heartbeat message and the load information is eventually propagated to the root.…”

Section: System Architecturementioning

confidence: 99%

Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework

Arefin

Uddin

Gupta

et al. 2009

2009 29th IEEE International Conference on Distributed Computing Systems

View full text Add to dashboard Cite

show abstract

“…Three important criteria for this classification are: Time in which workload distribution is performed static [6] or dynamic [11]; Control which can be centralized [10] or distributed [6] and System state view global [6] or local [4].…”

Section: Related Workmentioning

confidence: 99%

Teaching about Madrid: A Collaborative Agents-Based Distributed Learning Course

Bosque

Herrero

Mata

2008

On the Move to Meaningful Internet Systems: OTM 2008 Workshops

View full text Add to dashboard Cite

Abstract.Interactive art courses require a huge amount of computational resources to be running on real time. These computational resources are even bigger if the course has been designed as a Virtual Environment with which students can interact. In this paper, we present an initiative that has been develop in a close collaboration between two Spanish Universities: Universidad Politécnica de Madrid and Universidad Rey Juan Carlos with the aim of join two previous research project: a Collaborative Awareness Model for TaskBalancing-Delibery (CAMT) in clusters and the "Teaching about Madrid" course, which provides a cultural interactive background of the capital of Spain.

show abstract

Diffusive load-balancing policies for dynamic applications

Abstract: Abstract

Cited by 100 publications

References 18 publications

Spatial awareness in pervasive ecosystems

Spatial awareness in pervasive ecosystems

Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework

Teaching about Madrid: A Collaborative Agents-Based Distributed Learning Course

Contact Info

Product

Resources

About