Efficient management of resources in a federation of interacting computing servers and devices, for example, in a cloud computing environment, requires a load-balancing system that is self-regulatory and oblivious in nature. Due to the increasing size of data centers and their distribution across the globe, centralized load-balancing approaches suffer significant deficiencies in terms of communication overhead caused by the need to collect state dependent information. The technology of the cloud in its current state runs as many as 200 virtual machines on a single server, which clearly shows the importance of studying distributed load-balancing systems in the cloud. In the present paper, the federation of cloud servers is modeled as a complex network. In a complex network the structure and dynamics of the underlying system are encoded in the network topology itself. A method using random walks on complex networks for discovering free resources in a Cloud Server Network is given. The given method is used to balance the overall load on the network by equalising loads on overloaded and underloaded nodes without the need of a global load balancer. Simulation results are obtained through Network Simulator Version 2, which show that the proposed load-balancing scheme performs well for a large network by uniformly distributing the workload among the servers in polynomial time.

No abstract

No abstract

Anxiety is not a new term in the academic and social environment for young adults. From examination anxiety to adjustment problems at higher school, university, and workplace, anxiety has many adverse effects on young adult performance and mental health. Emotional intelligence provides us the ability to deal effectively with mental abnormality and anxiety in a different environment. At the university level, there were young adults of different social, cultural, and economic strata, so the university or workplace environment has a different impact on their level of affiliation and interaction. The present study aims to find out the relationship between these two constructs among young adults. Emotional intelligence level measured by the Kumar, A. I Narain, S. Emotional Intelligence Scale EIS-SANS, National Psychological Corporation (2014). The construct of anxiety level is measured by the Hamilton M. The assessment of anxiety states by rating. Br J Med Psychol 1959; 32:50–55. Two hundred and fourteen (n = 214) young adults from different parts of India constitute the sample of this study out of 214 respondents, 127 males and 87 females respondents between the age range of 20 and 40 years. The collected data were analyzed ANOVA and correlation through SPSS (Version 26). The results revealed that there is a fragile association between emotional intelligence level and level of anxiety; results revealed that there is a negative correlation between emotional intelligence and anxiety (r = −0.061, P < 0.05). The findings of this study have established that there is a significant difference between emotional intelligence and anxiety across gender of young adults, and male respondents had a better emotional intelligence which helps them to cope up with anxiety, female respondents, slightly behind in such conditions

No abstract