Building a P2P RDF Store for Edge Devices
The Semantic Web technologies have been used in the Internet of Things (IoT) to facilitate data interoperability and address data heterogeneity issues. The Resource Description Framework (RDF) model is employed in the integration of IoT data, with RDF engines serving as gateways for semantic integra...
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| creator | Guo, Xuanchi Le-Tuan, Anh Le-Phuoc, Danh |
| description | The Semantic Web technologies have been used in the Internet of Things (IoT)
to facilitate data interoperability and address data heterogeneity issues. The
Resource Description Framework (RDF) model is employed in the integration of
IoT data, with RDF engines serving as gateways for semantic integration.
However, storing and querying RDF data obtained from distributed sources across
a dynamic network of edge devices presents a challenging task. The distributed
nature of the edge shares similarities with Peer-to-Peer (P2P) systems. These
similarities include attributes like node heterogeneity, limited availability,
and resources. The nodes primarily undertake tasks related to data storage and
processing. Therefore, the P2P models appear to present an attractive approach
for constructing distributed RDF stores. Based on P-Grid, a data indexing
mechanism for load balancing and range query processing in P2P systems, this
paper proposes a design for storing and sharing RDF data on P2P networks of
low-cost edge devices. Our design aims to integrate both P-Grid and an
edge-based RDF storage solution, RDF4Led for building an P2P RDF engine. This
integration can maintain RDF data access and query processing while scaling
with increasing data and network size. We demonstrated the scaling behavior of
our implementation on a P2P network, involving up to 16 nodes of Raspberry Pi 4
devices. |
| doi_str_mv | 10.48550/arxiv.2309.09364 |
| format | Article |
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to facilitate data interoperability and address data heterogeneity issues. The
Resource Description Framework (RDF) model is employed in the integration of
IoT data, with RDF engines serving as gateways for semantic integration.
However, storing and querying RDF data obtained from distributed sources across
a dynamic network of edge devices presents a challenging task. The distributed
nature of the edge shares similarities with Peer-to-Peer (P2P) systems. These
similarities include attributes like node heterogeneity, limited availability,
and resources. The nodes primarily undertake tasks related to data storage and
processing. Therefore, the P2P models appear to present an attractive approach
for constructing distributed RDF stores. Based on P-Grid, a data indexing
mechanism for load balancing and range query processing in P2P systems, this
paper proposes a design for storing and sharing RDF data on P2P networks of
low-cost edge devices. Our design aims to integrate both P-Grid and an
edge-based RDF storage solution, RDF4Led for building an P2P RDF engine. This
integration can maintain RDF data access and query processing while scaling
with increasing data and network size. We demonstrated the scaling behavior of
our implementation on a P2P network, involving up to 16 nodes of Raspberry Pi 4
devices.</description><identifier>DOI: 10.48550/arxiv.2309.09364</identifier><language>eng</language><subject>Computer Science - Databases ; Computer Science - Distributed, Parallel, and Cluster Computing</subject><creationdate>2023-09</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2309.09364$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2309.09364$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Xuanchi</creatorcontrib><creatorcontrib>Le-Tuan, Anh</creatorcontrib><creatorcontrib>Le-Phuoc, Danh</creatorcontrib><title>Building a P2P RDF Store for Edge Devices</title><description>The Semantic Web technologies have been used in the Internet of Things (IoT)
to facilitate data interoperability and address data heterogeneity issues. The
Resource Description Framework (RDF) model is employed in the integration of
IoT data, with RDF engines serving as gateways for semantic integration.
However, storing and querying RDF data obtained from distributed sources across
a dynamic network of edge devices presents a challenging task. The distributed
nature of the edge shares similarities with Peer-to-Peer (P2P) systems. These
similarities include attributes like node heterogeneity, limited availability,
and resources. The nodes primarily undertake tasks related to data storage and
processing. Therefore, the P2P models appear to present an attractive approach
for constructing distributed RDF stores. Based on P-Grid, a data indexing
mechanism for load balancing and range query processing in P2P systems, this
paper proposes a design for storing and sharing RDF data on P2P networks of
low-cost edge devices. Our design aims to integrate both P-Grid and an
edge-based RDF storage solution, RDF4Led for building an P2P RDF engine. This
integration can maintain RDF data access and query processing while scaling
with increasing data and network size. We demonstrated the scaling behavior of
our implementation on a P2P network, involving up to 16 nodes of Raspberry Pi 4
devices.</description><subject>Computer Science - Databases</subject><subject>Computer Science - Distributed, Parallel, and Cluster Computing</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzjkLwjAYgOEsDlL9AU5mdWjN0XxpRm8FQdHuJeYogXoQD_Tfi8f0bi8PQj1KsrwQggx1fIZHxjhRGVEc8jYajO-hseFUY423bIt30zne387RYX-OeGZrh6fuEYy7dlDL6-bquv8mqJzPyskyXW8Wq8lonWqQeUqZZdoQYJyKg1QKDIAg1LucU2slAemBGW9AUgvOykIox702VktTKE55gvq_7ddaXWI46viqPubqa-Zv4jU5QA</recordid><startdate>20230917</startdate><enddate>20230917</enddate><creator>Guo, Xuanchi</creator><creator>Le-Tuan, Anh</creator><creator>Le-Phuoc, Danh</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20230917</creationdate><title>Building a P2P RDF Store for Edge Devices</title><author>Guo, Xuanchi ; Le-Tuan, Anh ; Le-Phuoc, Danh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a674-12d2ac062315b7996c66501fe431dd7067f62cfc671d6ed7859e3facda7c89313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Databases</topic><topic>Computer Science - Distributed, Parallel, and Cluster Computing</topic><toplevel>online_resources</toplevel><creatorcontrib>Guo, Xuanchi</creatorcontrib><creatorcontrib>Le-Tuan, Anh</creatorcontrib><creatorcontrib>Le-Phuoc, Danh</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guo, Xuanchi</au><au>Le-Tuan, Anh</au><au>Le-Phuoc, Danh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Building a P2P RDF Store for Edge Devices</atitle><date>2023-09-17</date><risdate>2023</risdate><abstract>The Semantic Web technologies have been used in the Internet of Things (IoT)
to facilitate data interoperability and address data heterogeneity issues. The
Resource Description Framework (RDF) model is employed in the integration of
IoT data, with RDF engines serving as gateways for semantic integration.
However, storing and querying RDF data obtained from distributed sources across
a dynamic network of edge devices presents a challenging task. The distributed
nature of the edge shares similarities with Peer-to-Peer (P2P) systems. These
similarities include attributes like node heterogeneity, limited availability,
and resources. The nodes primarily undertake tasks related to data storage and
processing. Therefore, the P2P models appear to present an attractive approach
for constructing distributed RDF stores. Based on P-Grid, a data indexing
mechanism for load balancing and range query processing in P2P systems, this
paper proposes a design for storing and sharing RDF data on P2P networks of
low-cost edge devices. Our design aims to integrate both P-Grid and an
edge-based RDF storage solution, RDF4Led for building an P2P RDF engine. This
integration can maintain RDF data access and query processing while scaling
with increasing data and network size. We demonstrated the scaling behavior of
our implementation on a P2P network, involving up to 16 nodes of Raspberry Pi 4
devices.</abstract><doi>10.48550/arxiv.2309.09364</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Databases Computer Science - Distributed, Parallel, and Cluster Computing |
| title | Building a P2P RDF Store for Edge Devices |
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