User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. Since the entire service is heavy …

Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

A significant rise in the adoption of streaming applications has changed the decision-making
processes in the last decade. This movement has led to the emergence of several Big Data …

Big Data applications are present in many areas such as financial markets, search engines,
stream services, health care, social networks, and so on. Data analysis provides value to …

Computing systems continue to evolve, resulting in increased performance when processing
workloads in large data centers due to the virtualization benefits. This technology is the key …

In Spark, a massive amount of immediate data inevitably leads to excessive I/O overhead.
To mitigate this issue, Spark incorporates four compression algorithms to reduce the size of …

Deep Learning (DL) and Big Data (BD) have converged to a hybrid computing paradigm that
merges the dynamic processing in DL models with the computational power of the …

The rapid growth of IoT devices and applications with data-intensive processing has led to
energy consumption and latency concerns. These applications tend to offload task …

Os sistemas de computação continuam a evoluir para facilitar o aumento do desempenho
ao processar cargas de trabalho em grandes data centers. A virtualização é uma tecnologia …

Cloud Computing is one of the most common methods of distributed computing because it
can reduce computing costs as data processes are improved in scalability and versatility …