Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

Big data and blockchain technology are coming together to revolutionize how decisions are
made in a decentralized way across various industries. This review looks at how these …

Cloud-native applications constitute a recent trend for designing large-scale software
systems. However, even though several cloud-native tools and patterns have emerged to …

Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …

For over forty years, relational databases have been the leading model for data storage,
retrieval and management. However, due to increasing needs for scalability and …

The advent of cloud computing has disruptively changed the way modern application
systems are developed and delivered. The cloud offers affordable access to infrastructure …

Performance and scalability testing and measurements of cloud-based software services are
necessary for future optimizations and growth of cloud computing. Scalability, elasticity, and …

Edge computing is the next Internet frontier that will leverage computing resources located
near users, sensors, and data stores to provide more responsive services. Therefore, it is …

Distributed stream processing engines are designed with a focus on scalability to process
big data volumes in a continuous manner. We present the Theodolite method for …

A Hybrid cloud is an integration of resources between private and public clouds. It enables
users to horizontally scale their on-premises infrastructure up to public clouds in order to …