Decentralised Resource Discovery Service for Large Scale Federated Grids

2007 ◽  
Author(s):  
Rajiv Ranjan ◽  
Lipo Chan ◽  
Aaron Harwood ◽  
Shanika Karunasekera ◽  
Rajkumar Buyya
Keyword(s):  
Large Scale ◽  
Resource Discovery ◽  
Discovery Service

Resource Discovery Service while Minimizing Maintenance Overhead in Hierarchical DHT Systems

2012 ◽  
Vol 3 (2) ◽  
pp. 1-17
Author(s):  
Riad Mokadem ◽  
Abdelkader Hameurlain ◽  
A Min Tjoa
Keyword(s):  
Large Scale ◽  
Hash Table ◽  
Resource Discovery ◽  
Data Sources ◽  
Distributed Hash Table ◽  
Discovery Process ◽  
Maintenance Costs ◽  
Large Scale Systems ◽  
Discovery Service ◽  
Superior Level

Despite hierarchical Distributed Hash Table (DHT) systems have addressed flat overlay system problems, most of existing solutions add a significant overhead to large scale systems. This not only increases the bandwidth consumption but also affect the routing efficiency. This paper deals with a resource discovery while minimizing maintenance overhead in hierarchical DHT systems. The considered resources are metadata describing data sources. In the solution, only one gateway in one overlay is attached to the superior level overlay. It aims to reduce both lookup and maintenance costs while minimizing the overhead added to the system. The authors present a cost analysis for a resource discovery process and discuss capabilities of the proposed protocol to reduce the overhead of maintaining the overlay network. The analysis result proved that our design decrease significantly the maintenance costs in such systems especially when nodes frequently join/leave the system.

scholarly journals A DHT-Based Discovery Service for the Internet of Things

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Future Internet ◽  
Peer To Peer ◽  
The Internet ◽  
Dangerous Goods ◽  
Discovery Service ◽  
Single Attribute ◽  
Smart Things ◽  
The Internet Of Things

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.

Riding the Waves of Change for Electronic Resources at the Library and Learning Commons, Monash University Sunway Campus

2013 ◽  
pp. 195-209
Author(s):  
Sossamma K. T. George
Keyword(s):  
Resource Discovery ◽  
Information Resources ◽  
Development Plan ◽  
Action Plans ◽  
Electronic Resources ◽  
Web Resource ◽  
University Library ◽  
Learning Commons ◽  
Discovery Service ◽  
The Waves

This chapter contributes to the topic of electronic resources. The purpose of this chapter is to share with fellow professionals the experience and challenges that the Library and Learning Commons, Monash University Sunway Campus Malaysia faced in progressing electronic resources at the Sunway campus. It discusses two major actions undertaken, namely (1) the implementation of an e-book acquisitions policy and (2) the implementation of Search, a Web resource discovery service undertaken in collaboration with Monash University Library Australia. The intent of the chapter is to share the experience of the Information Resources Section that undertook to implement these actions as part of the Section’s annual development plan for 2011 and 2012. The ensuing initiatives to realize the action plans and the progress made are discussed here. More importantly, the outcomes and the learning experiences are shared, in the understanding that by sharing, they contribute to enriching the field and empowering and challenging ourselves to progress further.

A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks

2010 ◽  
Vol 2 (4) ◽  
pp. 12-30 ◽  
Author(s):  
Athena Eftychiou ◽  
Bogdan Vrusias ◽  
Nick Antonopoulos
Keyword(s):  
Large Scale ◽  
Network Formation ◽  
Collective Intelligence ◽  
Semantic Knowledge ◽  
Resource Discovery ◽  
Online Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Adaptive Architecture

The increasing amount of online information demands effective, scalable, and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this paper, a semantic-driven adaptive architecture is presented, which improves existing resource discovery processes. The P2P network is organised in a two-layered super-peer architecture. The network formation of super-peers is a conceptual representation of the network’s knowledge, shaped from the information provided by the nodes using collective intelligence methods. The authors focus on the creation of a dynamic hierarchical semantic-driven P2P topology using the network’s collective intelligence. The unmanageable amounts of data are transformed into a repository of semantic knowledge, transforming the network into an ontology of conceptually related entities of information collected from the resources located by peers. Appropriate experiments have been undertaken through a case study by simulating the proposed architecture and evaluating results.

Runtime Service Discovery for Grid Applications

2009 ◽  
pp. 212-234 ◽  
Author(s):  
James Dooley ◽  
Andrea Zisman ◽  
George Spanoudakis
Keyword(s):  
Social Networks ◽  
Service Discovery ◽  
Large Scale ◽  
Virtual Organisations ◽  
Small World ◽  
Resource Discovery ◽  
Local Network ◽  
Network Node ◽  
Grid Resource ◽  
New Generation

A Virtual Organisation in large-scale distributed systems is a set of individuals and/or institutions with some common purposes or interests that need to share their resources to further their objectives, which is similar to a human community in social networks that consists of people have common interests or goals. Due to the similarity between social networks and Grids, the concepts in social science (e.g. small world phenomenon) can be adopted for the design of new generation Grid systems. This chapter presents a Small World Architecture for Effective Virtual Organisations (SWEVO) for Grid resource discovery in Virtual Organisations, which enables Virtual Organisations working in a more collaborative manner to support decision makers. In SWEVO, Virtual Organisations are connected by a small number of interorganisational links. Not every local network node needs to be connected to remote Virtual Organisations, but every network node can efficiently find connections to specific Virtual Organisations.

Efficient resource discovery for large scale ad hoc networks using contacts

2002 ◽  
Vol 32 (3) ◽  
pp. 32-32 ◽  
Author(s):  
Nitin Nahata ◽  
Priyatham Pamu ◽  
Saurabh Garg ◽  
Ahmed Helmy
Keyword(s):  
Ad Hoc Networks ◽  
Large Scale ◽  
Ad Hoc ◽  
Resource Discovery ◽  
Efficient Resource ◽  
Hoc Networks

Distribution of date elements and its relationship to the types of digital libraries: Analysing aggregated metadata of a Polish large-scale distributed system

2017 ◽  
Vol 51 (3) ◽  
pp. 710-720
Author(s):  
Veslava Osinska ◽  
Krystyna K. Matusiak ◽  
Malgorzata Kowalska ◽  
Bozena Bednarek-Michalska ◽  
Piotr Malak
Keyword(s):  
Distributed System ◽  
Digital Libraries ◽  
Large Scale ◽  
Big Data Analysis ◽  
Resource Discovery ◽  
Visual Methods ◽  
Systematic Classification ◽  
Knowledge Growth ◽  
Digital Knowledge

Large-scale distributed digital library systems with aggregated metadata provide platforms for resource discovery and retrieval. For researchers, aggregated metadata offers a potential for big data analysis and exploration of digital knowledge growth. The paper reports the findings of the study that investigated the distribution of the date elements in the metadata aggregated in the Polish Federation of Digital Libraries and related it to the types of libraries. The purpose of this study was to address the gap in research about heterogeneous digital libraries and explore the dynamics of their growth. The authors included timeline characteristics of the development of Polish digital libraries and proposed a new dynamics parameter – resource release interval. They used histograms, which have been grouped according to the organizational and thematic criteria, developed for this study. All charts are characterized by two similar maximum points. Their shapes and ratio have been analysed by both statistical and visual methods. The shape of resource release interval charts revealed characteristic differences for libraries types. The proposed approach, based on time characteristics, is an important step in the development of systematic classification of digital libraries and digitizing institutions. It can be also considered as a new tool in monitoring the dynamics of digital knowledge growth.

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