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Chapter and Conference Paper
Resource Management Through Workload Prediction Using Deep Learning in Fog-Cloud Architecture
Workload prediction involves forecasting the future resource demands and patterns for a computing system, such as cloud or fog infrastructure. It applies historical information and analytical methods to foreca...
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Chapter and Conference Paper
Analyzing the Behavior of Real-Time Tasks in Fog-Cloud Architecture
The growing number of IoT devices generates a huge amount of data that are generally processed by the Cloud datacenter. However, it results in inordinate delay for time-critical applications due to network int...
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Chapter
Predicting Users’ Interest Through ELM-Based Collaborative Filtering
Making accurate recommendations with the plethora of information has become a challenging task for researchers indulge in the area of recommender system. The most widely adopted collaborative filtering recomme...