Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities

Abstract

Docker containers are the lightweight-virtualization technology prevailing today for the provision of microservices. This work raises and discusses two main challenges in Docker containers' scheduling in cloud-fog-internet of things (IoT) networks. First, the convenience to integrate intelligent containers' schedulers based on soft-computing in the dominant open-source containers' management platforms: Docker Swarm, Google Kubernetes and Apache Mesos. Secondly, the need for specific intelligent containers' schedulers for the different interfaces in cloud-fog-IoT networks: cloud-to-fog, fog-to-IoT and cloud-to-fog. The goal of this work is to support the optimal allocation of microservices provided by the main cloud service providers today and used by millions of users worldwide in applications such as smart health, content delivery networks, smart health, etc. Particularly, the improvement is studied in terms of quality of service (QoS) parameters such as latency, load balance, energy consumption and runtime, based on the analysis of previous works and implementations. Moreover, the scientific-technical impact of smart containers' scheduling in the market is also discussed, showing the possible repercussion of the raised opportunities in the research line.

Improved Q Network Auto-Scaling in Microservice Architecture

“…Various Middleware Frameworks of Containers [21] Programming Sensors and IoT Devices (Small VMs Supported by Python Runtime Environments such as Spring and NodeJS) [22][23][24][25] Application Efficiency (Resource Virtualization Technology for Hardware Flexibility) [26] Lightweight Virtualization Solution [27] Virtualization Application to Lower Overhead [28] Definition of Container [29] Strengths of Containers, Lightening Up [30] The Connection between Lightweight Virtualization and Microservice [31] Strategies to Strengthen The Fuzzy Distribution of Microphone Services [32] Cluster Intelligence-Based Strategies [33] Reinforcement…”

Combining Fog and Cloud Computing to Support Spatial Analytics in Smart Cities

“…Each fog node uses the Docker container technology 6 for creating containers for each application available in a fog node (e.g., ETL and real-time data analytics). We indicate the reading of the work of Pérez de Prado et al (2020) , which presents the challenges and opportunities on the schedule of smart containers in the Cloud-Fog-IoT interfaces.…”

Fog Computing Technologies for Patient Sensor Networks – Trends, Issues and Future Directions

“…Saugumas ir pažeidžiamumas (Aceto et al, 2018(Aceto et al, , 2020Anawar et al, 2018;Badidi et al, 2020;Basir et al, 2019;da Silva ir de Aquino, 2018;Dang et al, 2019;de Moura Costa et al, 2020;Dong ir Yao, 2021;EscamillaAmbrosio et al, 2018;Gaber et al, 2019;Haouari et al, 2018;Hu et al, 2017;Ibrahim et al, 2018;Javadzadeh ir Rahmani, 2020;Kraemer et al, 2017;Naresh et al, 2020;Nazir et al, 2019;Saheb ir Izadi, 2019;Swamy ir Kota, 2020;Tayeb et al, 2017;Vilela et al, 2020) (Aceto et al, 2018;Anawar et al, 2018;Badidi et al, 2020;Basir et al, 2019;Behmanesh et al, 2020;da Silva ir de Aquino, 2018;Dang et al, 2019;de Moura Costa et al, 2020;de Prado et al, 2020;Dong ir Yao, 2021;EscamillaAmbrosio et al, 2018;Fu et al, 2020;Hartmann et al, 2019;Hu et al, 2017;Younan et al, 2020;Kaur et al, 2020a;Kraemer et al, 2017;McCann et al, 2018;Swamy ir Kota...…”

“…Aplinkoje, kurioje gali būti įvairių naudotojų ir jie nori pasiekti išorines e. sveikatos paslaugas, gali būti tikslin ga veikti virtualioms mašinoms ir konteineriams taikant daiktų interneto virtualizavimo technologijas (de Prado et al, 2020).…”