MTD-DHJS: makespan-optimized task scheduling algorithm for cloud computing with dynamic computational time prediction

P Banerjee, S Roy, A Sinha, MM Hassan, S Burje… - IEEE …, 2023 - ieeexplore.ieee.org
Cloud computing has revolutionized the management and analysis of data for organizations,
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …

TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation

M Rostami, S Goli-Bidgoli - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, the load imbalance of network resources in the Internet of Things (IoT) due to the
diverse and heterogeneous workflow of data, has attracted the attention of many …

Real Time Object Detection and Clasification Using Small and Similar Figures in Image Processing

K Thakur, P Banerjee, F Naaz… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
In the present time, there has been many adaptations of Object Detection is developed.
Object Detection means catching the object name and it's other characteristics in an image …

MECHANISMS AND TOOLS USED FOR RESOURCE ALLOCATION IN THE CLOUD.

K Singh, J Kaur - International Journal of Advanced …, 2023 - search.ebscohost.com
Pay-as-you-go access to computer resources is a major selling point of the cloud computing
model. Cloud tenants demand complete networking of their dedicated resources to simply …

[PDF][PDF] COMPARATIVE PERFORMANCE ANALYSIS OF FCFS, JOHNSON SEQUENCING AND DYNAMIC MAX-MIN JOHNSON SEQUENCING (DMMJS) ALGORITHM …

P BANERJEE, S ROY - scientificbulletin.upb.ro
This paper presents Dynamic Max-Min Johnson scheduling algorithm that offers the optimal
sequence. Johnson's rule is perhaps the most classical algorithm in the scheduling field …