Join queries optimization in the distributed databases using a hybrid multi-objective algorithm

Azhir, Elham; Navimipour, Nima Jafari; Hosseinzadeh, Mehdi; Sharifi, Arash; Ünal, Mehmet; Darwesh, Aso Mohammad

doi:10.1007/s10586-021-03451-9

Cited by 6 publications

(1 citation statement)

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“…The proposed mechanism has a group of d databases interrelated with a fast network in the CS-GA. We should consider the communication duration between two dependent queries when allocated to diverse databases. 37 We have discussed the cloud database route 38,39 scheduling problem using a linked graph to network G = (D, E), where D represents databases, and E represents dependencies among the databases, as shown in Figure 1. We have labeled the graph's edges with the amount of average communication time.…”

Section: Problem Statementmentioning

confidence: 99%

A cloud database route scheduling method using a hybrid optimization algorithm

Baghi

Navimipour

2023

Int J Communication

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Cloud computing has appeared as a technology allowing a company to employ computing resources such as applications, software, and hardware to calculate over the Internet. Scholars have paid great attention to cloud computing because of its cutting-edge availability, cost decrement, and boundless applications. A cloud database is a data storage site on the web where the optimal path is spotted to access the needed database. So, placing the ideal path to a database is crucial. The cloud database defined the scheduling problem to choose the perfect route. Cloud database path scheduling is a multifaceted procedure consisting of congestion control, routing list, and network flow distribution. It has a postponement in searching for the needed source route from the cloud database. Offering numerous infinite resources with the growing database workload is an NP-Hard optimization problem where the query request needs optimal schedules to respond to the required services. So, we have used a hybrid cuckoo search (CS) and genetic algorithm (GA), motivated by a social bird's phenomenon, to solve this problem. Integrating genetic operators has dramatically enhanced the balance between the capability of searching and utilization.

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Section: Problem Statementmentioning

confidence: 99%