Is Distributed Database Evaluation Cloud-Ready?

The database landscape has significantly evolved over the last decade as cloud computing enables to run distributed databases on virtually unlimited cloud resources. Hence, the already non-trivial task of selecting and deploying a distributed database system becomes more challenging. Database evaluation frameworks aim at easing this task by guiding the database selection and deployment decision. The evaluation of databases has evolved as well by moving the evaluation focus from performance to distribution aspects such as scalability and elasticity. This paper presents a cloud-centric analysis of distributed database evaluation frameworks based on evaluation tiers and framework requirements. It analysis eight well adopted evaluation frameworks. The results point out that the evaluation tiers performance, scalability, elasticity and consistency are well supported, in contrast to resource selection and availability. Further, the analysed frameworks do not support cloud-centric requirements but support classic evaluation requirements

A Research Perspective on Fog Computing

reserved7siState-of-the-art applications are typically deployed on top of cloud services which offer the illusion of infinite resources, elastic scalability, and a simple pay-per-use billing model. While this is very convenient for developers, it also comes with relatively high access latency for end users. Future application domains such as the Internet of Things, autonomous driving, or future 5G mobile apps, however, require low latency access which is typically achieved by moving computation towards the edge of the network. This natural extension of the cloud towards the edge is typically referred to as Fog Computing and has lately found a lot of attention. However, Fog Computing as a deployment platform has not yet found widespread adoption; this, we believe, could be helped through a consistent use of the service-oriented computing paradigm for fog infrastructure services. Based on this motivation, this paper describes the concept of Fog Computing in detail, discusses the main obstacles for Fog Computing adoption, and derives open research challenges.mixedBermbach, David*; Pallas, Frank; Pérez, David García; Plebani, Pierluigi; Anderson, Maya; Kat, Ronen; Tai, StefanBermbach, David; Pallas, Frank; Pérez, David García; Plebani, Pierluigi; Anderson, Maya; Kat, Ronen; Tai, Stefa