# Next Generation Cloud Computing: New Trends and Research Directions

arXiv: https://arxiv.org/abs/1707.07452 · HTML: https://mlsanity.com/paper/1707.07452/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2017.

## Built on by (most cited first, 8 of 8)

- [Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence](https://mlsanity.com/paper/2201.11410/) (2022)
- [Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks](https://mlsanity.com/paper/2304.00396/) (2023)
- [Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities](https://mlsanity.com/paper/2402.06938/) (2024)
- [PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning](https://mlsanity.com/paper/2403.17637/) (2024)
- [Seamless Optical Cloud Computing across Edge-Metro Network for Generative AI](https://mlsanity.com/paper/2412.12126/) (2024)
- [FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems](https://mlsanity.com/paper/2506.02668/) (2025)
- [Sequential Learning-based IaaS Composition](https://mlsanity.com/paper/2102.12598/) (2021)
- [High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data](https://mlsanity.com/paper/2601.09334/) (2026)

## Abstract (arXiv)

The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving. In this paper, we firstly discuss the changing cloud infrastructure and consider the use of infrastructure from multiple providers and the benefit of decentralising computing away from data centers. These trends have resulted in the need for a variety of new computing architectures that will be offered by future cloud infrastructure. These architectures are anticipated to impact areas, such as connecting people and devices, data-intensive computing, the service space and self-learning systems. Finally, we lay out a roadmap of challenges that will need to be addressed for realising the potential of next generation cloud systems.