文章基本信息

标题：TOWARD ACHIEVING SELF-RESOURCE DISCOVERY IN DISTRIBUTED SYSTEMS BASED ON DISTRIBUTED QUADTREE
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作者：SALEH ALI ALOMARI ; MUHYEEDDIN ALQARALEH ; EMRAN ALJARRAH 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：20
页码：3088-3100
出版社：Journal of Theoretical and Applied
摘要：Shared computing infrastructures such as Peer-to-Peer (P2P) networks and grid technologies allow sharing resources between a large amount of geographically and dynamically distributed resources to achieve an efficient degree of the performance of supercomputing. The main issue of this performance refers to the resource discovery as it is considered an essential and significant part in the infrastructure of shared computing. Several approaches pertaining to the resource discovery are suggested to perform resource discovery objective. These approaches cause an extensive response time, higher query cost and exceptional network traffic where the reasons behind these causes refer back to the dynamic construction and the distribution call of these approaches. Additionally, very rare approaches could tackle the problems of query hitting rate, memory utilisation and locality. These issues are critical to performance of a system. Therefore, an in-network querying organisation method, namely, the Distributed Quadtree (DQT) is proposed in this paper. This method produces efficient in-network resources of values nod�s, including the distance conscious querying. The answering price of a query that is related to the value of definite resources at their maximum value is a static factor of the distance �d� to the close resources within the network. The construction of the DQT is local and does not include any existing announcements. Further, according to its stateless setting and orderly organisation, the proposed method is considered flexible within a failure intelligence.
关键词：Shared Computing;Resource Discovery;Quad-Tree.