Changing the allocation of the resource based on the utilization threshold allows allocating sufficient resources to the application program prior to a breach of a service level agreement for the application program.Bubba, Head
To ensure good performance results, the resource allocation should respond to the changes in the SOA environment. In this paper we focus on the detection of the changes in the environment and the prediction of the expected service requests rates. For this purpose we first discover a stochastic ...
This differentiation might reflect the diversity in the resource allocation mechanisms for growth priority depending on the environmental restrictions. This study provides a representative example for clarifying the contribution of the environment to population dynamics through an innovative viewpoint of ...
disease association prediction or miRNA-disease association prediction. To demonstrate the prediction performance of the JSCSNCP-LMA, LOOCV and fivefold CV were used to test the model. The results showed that the AUC values of the proposed JSCSNCP-LMA were 0.9268 and 0.9145, respectively. Datasets...
we present AutoToken — a simple and effective predictor for estimating the peak resource usage of recurring big data queries. It uses multiple query plan identifiers to identify recurring query templates and to learn models with the goal of reducing over-allocation in...
Production planning and resource allocation are ongoing issues that organisations face on a day-to-day basis. The study addresses these issues by developing a dynamic performance measurement system (DPMS) to effectively re-deploy manufacturing resources, thus enhancing the decision-making process in opti...
The resource allocation framework identifies the individual differences and motivational processes at play in skilled performance. According to this framework, individuals engage self-regulatory strategies to allocate attentional resources to different thoughts and activities, and these strategies are influenced ...
The creation of a prediction algorithm that can precisely categorize patients at risk of invasive mechanical ventilation and mortality is necessary for the real-time effective management of patient and hospital resource allocation. As such, in this paper, a novel model was developed to enhance the ...
Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and optimize the cost structure rati
The projected rare resource spectrum generates high profits if utilized efficiently. The current static allocation lead the spectrum to underutilized with fixed income. Predicting the user requirement for spectrum and auctioning the spectrum helps to better serve the customers and at the same time incr...