Cloud environments have provided great help for the development of big data. Today, cloud
environments have become the most active platform for big data analysis applications …

Recent developments in sensor technology, wearable computing, Internet of Things (IoT),
and wireless communication have given rise to research in ubiquitous healthcare and …

The advancement of the Internet of Things (IoT) has prompted countless smart gadgets,
which produce hundreds of gigabytes of data per hour. The main challenge is processing …

Identifying and anticipating potential failures in the cloud is an effective method for
increasing cloud reliability and proactive failure management. Many studies have been …

Application execution required in cloud and fog architectures are generally heterogeneous
in terms of device and application contexts. Scaling these requirements on these …

The evolution of the Internet of things (IoT) has led to a massive number of intelligent
devices. The tremendous increase in the IoT devices has also led to a huge amount of data …

Various big-data analytics tools and techniques have been developed for handling massive
amounts of data in the healthcare sector. However, scheduling is a significant problem to be …

With the advancements in the era of artificial intelligence, blockchain, cloud computing, and
big data, there is a need for secure, decentralized medical record storage and retrieval …

The current computing techniques that use the cloud are becoming unsustainable, as
billions of devices, mainly driven by the rapid growth of the Internet of Things (IoT), are …

Hassle-free routing between two nodes without intermediate interference with better
performance is a very challenging task. In the case of doctor and patient, it needs super …