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Next Generation Cloud Computing: New Trends and Research Directions

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TLDR
In this article, the authors discuss the changing cloud infrastructure and consider the use of infrastructure from multiple providers and the benefit of decentralising computing away from data centers, and lay out a roadmap of challenges that will need to be addressed for realising the potential of next generation cloud systems.
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Foundations and Evolution of Modern Computing Paradigms : Cloud, IoT, Edge, and Fog

TL;DR: This work shows the evolution of modern computing paradigms and related research interest, and extensively addresses Fog computing, remarking its outstanding role as the glue between IoT, Cloud, Edge, and Edge computing.
Journal ArticleDOI

AI for Next Generation Computing: Emerging Trends and Future Directions

TL;DR: In this article , the authors discuss challenges and opportunities for leveraging AI and ML in next generation computing for emerging computing paradigms, including cloud, fog, edge, serverless and quantum computing environments.
Journal ArticleDOI

Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things

TL;DR: A distributed deep learning-driven task offloading (DDTO) algorithm is proposed to generate near-optimal offloading decisions over the MDs, edge cloud server, and central cloud server and achieves high performance and greatly reduces the computational complexity when compared with other offloading schemes that neglect the collaboration of heterogeneous clouds.
Journal ArticleDOI

The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming

TL;DR: This work provides a survey of the most recent research activities, in the form of both research projects and scientific literature, with the objective of showing the already achieved results, the current investigations, and the still open challenges.
References
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Journal ArticleDOI

Internet of Things (IoT): A vision, architectural elements, and future directions

TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
Journal ArticleDOI

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
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The Case for VM-Based Cloudlets in Mobile Computing

TL;DR: The results from a proof-of-concept prototype suggest that VM technology can indeed help meet the need for rapid customization of infrastructure for diverse applications, and this article discusses the technical obstacles to these transformations and proposes a new architecture for overcoming them.
Proceedings Article

Large Scale Distributed Deep Networks

TL;DR: This paper considers the problem of training a deep network with billions of parameters using tens of thousands of CPU cores and develops two algorithms for large-scale distributed training, Downpour SGD and Sandblaster L-BFGS, which increase the scale and speed of deep network training.
Proceedings ArticleDOI

Benchmarking cloud serving systems with YCSB

TL;DR: This work presents the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems, and defines a core set of benchmarks and reports results for four widely used systems.
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What are the future trends for cloud services?

The future trends for cloud services include the use of infrastructure from multiple providers, decentralizing computing away from data centers, and the development of new computing architectures.