An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm

Cloud computing offers the services to access, manipulate and configure data online over the web. The cloud term refers to an internet network which is remotely available and accessible at anytime from anywhere. Cloud computing is undoubtedly an innovation as the investment in the real and physical infrastructure is much greater than the cloud technology investment. The present work addresses the issue of power consumption done by cloud infrastructure. As there is a need for algorithms and techniques that can reduce energy consumption and schedule resource for the effectiveness of servers. Load balancing is also a significant part of cloud technology that enables the balanced distribution of load among multiple servers to fulfill users’ growing demand. The present work used various optimization algorithms such as particle swarm optimization (PSO), cat swarm optimization (CSO), BAT, cuckoo search algorithm (CSA) optimization algorithm and the whale optimization algorithm (WOA) for balancing the load, energy efficiency, and better resource scheduling to make an efficient cloud environment. In the case of seven servers and eight server’s settings, the results revealed that whale optimization algorithm outperformed other algorithms in terms of response time, energy consumption, execution time and throughput

Impact of milk on malnutrition and cognitive skills among school children: Evidence from gift milk initiative from a tribal state of India

Background: The objective of this study was to assess the impact of fortified milk on various aspects of growth and development among school children in a tribal-predominant district of Jharkhand, India. Materials and Methods: A longitudinal study was planned in 16 schools (eight in intervention group and eight in control group) of Latehar district of Jharkhand in India. Out of the total 962 study participants, only 528 study participants were considered in study analysis, who were present both during baseline and endline study after 1 year of milk introduction. The study participants were assessed for nutrition, intelligence quotient, and hemoglobin levels with the help of study tools and instruments. Results: The decrease in malnutrition was more evident in the intervention group during endline assessment, with 95% confidence interval (95% CI; 7.37, 7.42) and 95% CI (10.63, 10.58) for the difference in proportion in the intervention and control groups for stunting and thinness, respectively. This was statistically significant (P < 0.05). Anemia also improved with better cognition in the intervention group, and the difference was statistically significant (P < 0.05). Conclusion: In our study, beneficial effects of milk on malnourished children were evident, particularly in combating stunting and thinness, and it also had a positive impact on cognitive skills in school children