The emergence of social media, the worldwide web, electronic transactions, and next-
generation sequencing not only opens new horizons of opportunities but also leads to the …

Ransomware is a subcategory of malware whose specific goal is to hold the victim's data by
using encryption techniques until a ransom is paid. With mainstream usage of the Windows …

In a big data stream computing environment, the arrival rate of data streams usually
fluctuates over time, posing a great challenge to the elasticity of system. The performance of …

Stream processing has been gaining extensive attention in the past few years. Apache Flink
is a new generation of distributed stream processing engines that can process a great deal …

Stream processing is a new memory computing paradigm that deals with dynamic data
streams efficiently. Storm is one of the stream processing frameworks, but the default stream …

The essential component of the Big Data system is the processing frameworks and engines
responsible for crunching the data. To cope with the growing computing demands of real …

Containerization has revolutionized application deployments in current cloud platforms,
enabling the flexible instantiation of loosely-coupled microservices and enhancing …

Background A scheduling algorithm tries to schedule multiple computational tasks on a
cluster of multiple computing nodes to maximize throughput with optimal utilization of …

Streaming applications have become widespread with the advent of big data and IoT. They
are latency-sensitive applications that aim to process vast amounts of data in near real time …

Stream processing platforms allow processing and analyzing real-time data. Several tools
have been developed for these platforms to guarantee that the applications running on them …