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Special issue: Elastic computing from edge to the cloud environments

We are pleased to present a special issue that focuses on state-of-the-art research on Elastic Computing from Edge to the Cloud Environments. Today, a huge amount of data is being generated by the Internet of Things (IoT) devices such as smartphones, sensors, cameras, cars, and robots.1 In order to process the generated data, there exist Big Data platforms (such as Hadoop and Spark). Conventionally, they are deployed in centralized Data Centers, which, however, fall short of addressing time-critical requirements of the applications due to high latency between the Edge, where the data are generated and the Data Centers where they are processed.2 The emerging Edge and Fog computing paradigms promise to solve this problem by seamlessly integrating hardware and software resources across multiple computing tiers, from the Edge to the Data Center/Cloud. Since computing resources at the Edge may be power and capacity constrained, it is necessary to invent new lightweight platforms and techniques that seamlessly interact, sense, execute and produce results with very low latency, while at the same time address other high-level requirements of applications, such as security and privacy. Regarding these problems, there are many challenges that must be addressed with the invention of new architectures, methods, algorithms, and solutions. This special issue addresses various problems, challenges, new approaches and technologies to shape future directions for research, foster the exchange of ideas. In this special issue, six research articles are carefully selected after multiple rounds of peer-review to address some new and upcoming avenues of next-generation clouds. They include: