2005Unpublished venueOpen access

Self-Maintaining Overlay Data Structures for Autonomic Distributed Computing

Marco Mamei, Franco Zambonelli

Open full text 3 citations

Abstract

In our research, we developed a general framework to model and implement overlay data structures in dynamic network environments. Overlay data structures can be defined by means of a couple (C,P). The content C can be an arbitrary data structure representing the information carried on by the data structure. The propagation rule P determines how the overlay data structure should be distributed and propagated across the network. This includes determining the "scope" of the overlay (i.e. the distance at which it should be propagated and possibly the spatial direction of propagation) and how such propagation can be affected by the presence or the absence of other data structures in the system. In addition, the propagation rules can determine how the content should change while it is propagated. Overlay data structure are not necessarily distributed replicas: by assuming different values in different nodes, they can be effectively used to build a distributed overlay data structure expressing some kind of contextual information. In addition, we realized highly scalable, autonomic maintenance mechanisms to let the overlay data structures preserve its intended distribution (C,P) despite network contingencies

About this research paper

What this paper is about

In our research, we developed a general framework to model and implement overlay data structures in dynamic network environments. Overlay data structures can be defined by means of a couple (C,P). The content C can be an arbitrary data structure representing the information carried on by the data structure. The propagation rule P determines how the overlay data structure should be distributed and propagated across the network. This includes determining the "scope" of the overlay (i.e. the distance at which it should be propagated and possibly the spatial direction of propagation) and how such propagation can be affected by the presence or the absence of other data structures in the system. In addition, the propagation rules can determine how the content should change while it is propagated. Overlay data structure are not necessarily distributed replicas: by assuming different values in different nodes, they can be effectively used to build a distributed overlay data structure expressing some kind of contextual information. In addition, we realized highly scalable, autonomic maintenance mechanisms to let the overlay data structures preserve its intended distribution (C,P) despite network contingencies

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In our research, we developed a general framework to model and implement overlay data structures in dynamic network environments. Overlay data structures can be defined by means of a couple (C,P). The content C can be an arbitrary data structure representing the information carried on by the data structure. The propagation rule P determines how the overlay data structure should be distributed and propagated across the network. This includes determining the "scope" of the overlay (i.e. the distance at which it should be propagated and possibly the spatial direction of propagation) and how such propagation can be affected by the presence or the absence of other data structures in the system. In addition, the propagation rules can determine how the content should change while it is propagated. Overlay data structure are not necessarily distributed replicas: by assuming different values in different nodes, they can be effectively used to build a distributed overlay data structure expressing some kind of contextual information. In addition, we realized highly scalable, autonomic maintenance mechanisms to let the overlay data structures preserve its intended distribution (C,P) despite network contingencies

Key concepts: Overlay, Overlay network, Computer science, Scalability, Distributed computing, Data structure, Scope (computer science), Computer network

Related papers

Back to paper searchBrowse research topicsOriginal source
Self-Maintaining Overlay Data Structures for Autonomic Distributed Computing — Research Paper | ScholarLens