Showing posts with label i-manager Publications. Show all posts
Showing posts with label i-manager Publications. Show all posts

Saturday, September 7, 2019

The paper "A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme"

The paper entitled "A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme" was published by i-manager's Journal on Cloud Computing in August 2019. This paper proposes a dynamic replication mechanism in a data grid that uses a weighted priority-based replication scheme, called WPRS. It specifies a value for each existing in a local storage based on three parameters including price, number of access time, and present time. When a resource is not available for a desired job, it is hired from other sites in the network. The proposed mechanism removes the file having the least value to increase the free space of data storage. Simulation results show that the proposed replication mechanism surpasses some of the existing replication methods in terms of the number of successful jobs, number of non-successful jobs, and buy price.

You can find more information about this paper via the link.


Thursday, September 28, 2017

The paper "SMIER: An SVM and MCDA Based, Intelligent Approach for Enhanced Reliability in Wireless Sensor Networks"

The paper "SMIER: An SVM and MCDA Based, Intelligent Approach for Enhanced Reliability in Wireless Sensor Networks" was published by i-manager Publications in i-manager's Journal on Communication Engineering and Systems on September 28, 2017. It proposes an SVM and MCDA based, intelligent approach for enhanced reliability in WSNs, called SMIER. It is considered for a cluster-based sensor network in a way that every Cluster-Head (CH) selects one of its Non Cluster-Head (NCH) nodes as a backup node in a period of time. Initially, the suggested SVM algorithm determines failure probability of each NCH node based on number of events and average distance to events. Afterward, the suggested MCDA controller calculates success rate of the NCH node by using three parameters, including remaining energy, distance, and failure probability. Simulation results show that the proposed approach surpasses some of the existing works in terms of packet delivery ratio, number of alive nodes, and average remaining energy.

You can find more information about this paper via the link.