relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1977/
title: DSMAV: An improved solution for multi-attribute search based on load capacities
creator: Nguyen, ThanhDat
creator: Kifor, Claudiu Vasile
creator: Nguyen, Hoai Son
subject: Electronics and Communications
subject: Information Technology (IT)
description: DHT (Distributed Hash Table) such as CHORD or PARTRY facilitates information searching in scalable systems. Two popular DHT-based approaches for range or multi-attribute search are to rely on attribute-value tree and a combination of attributes and values. However, tradeoff between a load balancing mechanism and query efficiency is a challenging task for such information searching systems. In this paper, we propose improved algorithms for a system called DSMAV in which information resources are distributed fairly among nodes and found based on multi-attribute queries in a small number of hop counts. Our system creates identifiers from resource names, each of which is a combination of attribute-value pairs (AV pairs). In order to overcome problem of load imbalance among nodes because of frequent appearance of AV pairs in many resource names, we control the quantity of information resources distributed to a node based on load capacity of each node. Moreover, periodical updating processes on a node enable our load balancing mechanism to be maintained accurately. As a result, our improvement evaluated by simulated results depicts a good degree of load balance as well as query efficiency.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1977/1/DSMAV%20-%20An%20Improved%20Solution%20for%20Multi-Attribute%20Search%20Based%20on%20Load%20Capacities-ICCE16.pdf
identifier:   Nguyen, ThanhDat and Kifor, Claudiu Vasile and Nguyen, Hoai Son  (2016) DSMAV: An improved solution for multi-attribute search based on load capacities.  In: 6th IEEE International Conference on Communications and Electronics (ICCE), 27-29 July 2016, Ha Long, Vietnam.     
relation: http://doi.org/10.1109/CCE.2016.7562605
relation: doi:10.1109/CCE.2016.7562605