OBAME: Optimized Bio-inspired Algorithm to Maximize Search Efficiency in P2P Databases

Kurid, Heba A.; Alnusairi, Thanaa S.; Almujahed, Hajar S.

doi:10.1016/j.procs.2013.09.010

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Semantic routing and search are important aspects of P2P networks because they aid efficient peer discovery [56][57][58][59][60], [109]. The approach varies, depending on the type of overlay network, it could be structured or unstructured.…”

Section: Semantic Routing and Searchmentioning

confidence: 99%

“…In addition, research proposing bio-inspired search algorithms has been reported, such as in [57], [112]. The authors in [57] proposed maximizing search efficiency of peers' databases using a bio-inspired algorithm, reported to have better query and traffic response than both beeand ant-inspired algorithms. A bio-inspired caching mechanism based on the Artificial Bee Colony (ABC) owing to its reliability was presented in [112].…”

Section: Semantic Routing and Searchmentioning

confidence: 99%

“…Another area of concern is how to prevent attackers from utilizing UDP to modify data transported by UDP to attack a P2P. Also, in the future bio-inspired algorithms could be augmented semantic techniques so that search queries are routed to the database, which possesses the most semantically matching search keyword [57]. Moreover, in terms of peer trust management, how do combining peertrust values with file trust values affect the reputation of the management systems?…”

Section: Investigation and Management Of Peer-to-peer Networkmentioning

confidence: 99%

See 2 more Smart Citations

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

Ehiagwina¹,

Iromini²,

Olatinwo³

et al. 2022

J. Engg. Res. & Sci.

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Centralized file-sharing networks have low reliability, scalability issues, and possess a single point of failure, thus making peer-to-peer (P2P) networks an attractive alternative since they are mostly anonymous, autonomous, cooperative, and decentralized. Although, there are review articles on P2P overlay networks and technologies, however, other aspects such as hybrid P2P networks, modelling of P2P, trust and reputation management issues, coexistence with other existing networks, and so on have not been comprehensively reviewed. In addition, existing reviews were limited to articles published in or before 2012. This paper performs a state-of-the-art literature survey on the emerging research areas of P2P networks, applications and ensuing challenges along with proposed solutions by scholars. The literature search for this survey was limited to the top-rated publisher of scholarly articles. This research shows that issues with security, privacy, the confidentiality of information and trust management will need greater attention, especially in sensitive applications like health services and vehicle to vehicle communication ad hoc networks. In addition, more work is needed in developing solutions to effectively investigate and curb deviant behaviours among some P2P networks.

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Section: Semantic Routing and Searchmentioning

confidence: 99%

Section: Semantic Routing and Searchmentioning

confidence: 99%

Section: Investigation and Management Of Peer-to-peer Networkmentioning

confidence: 99%

See 1 more Smart Citation

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

Ehiagwina¹,

Iromini²,

Olatinwo³

et al. 2022

J. Engg. Res. & Sci.

View full text Add to dashboard Cite

show abstract

“…The former gather meta-data about neighbors' collections, which are then exploited by a specific scoring function to rank neighbors with respect to their shared documents and the query content. Hence the query will be routed to the first k neighbors with the highest scores [20][21][22].…”

Section: Related Workmentioning

confidence: 99%

Reinforcement Learning Based Query Routing Approach for P2P Systems

Alanazi

Yeferny

2019

Future Internet

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Peer-to-peer (P2P) systems have offered users an efficient way to share various resources and access diverse services over the Internet. In unstructured P2P systems, resource storage and indexation are fully distributed among participating peers. Therefore, locating peers sharing pertinent resources for a specific user query is a challenging issue. In fact, effective query routing requires smart decisions to select a certain number of peers with respect to their relevance for the query instead of choosing them at random. In this respect, we introduce here a new query-oriented approach, called the reinforcement learning-based query routing approach (RLQR). The main goal of RLQR is to reach high retrieval effectiveness as well as a lower search cost by reducing the number of exchanged messages and contacted peers. To achieve this, the RLQR relies on information gathered from previously sent queries to identify relevant peers for forthcoming queries. Indeed, we formulate the query routing issue as the reinforcement learning problem and introduce a fully distributed approach for addressing it. In addition, RLQR addresses the well-known cold-start issue during the training stage, which allows it to improve its retrieval effectiveness and search cost continuously, and, therefore, goes quickly through the cold-start phase. Performed simulations demonstrate that RLQR outperforms pioneering query routing approaches in terms of retrieval effectiveness and communications cost.

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Robust Modified ABC Variant (JA-ABC5b) for Solving Economic Environmental Dispatch (EED)

Sulaiman

Mohamad–Saleh

Abro

2016

Knowledge Management and Acquisition for Intelligent Systems

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OBAME: Optimized Bio-inspired Algorithm to Maximize Search Efficiency in P2P Databases

Cited by 5 publications

References 7 publications

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

Reinforcement Learning Based Query Routing Approach for P2P Systems

Robust Modified ABC Variant (JA-ABC5b) for Solving Economic Environmental Dispatch (EED)

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