Reasons behind growing adoption of Cloud after Covid-19 Pandemic and Challenges ahead

• URL: http://arxiv.org/abs/2103.00176v1
• Date: Sat, 27 Feb 2021 10:32:10 GMT
• Title: Reasons behind growing adoption of Cloud after Covid-19 Pandemic and Challenges ahead
• Authors: Mayank Gokarna
• Abstract summary: Covid-19 has made cloud adoption an immediate priority for Organisation rather than a slowly approached future transformation. The benefits of Cloud lies in the fact that employees rather engineers of an enterprise are no more dependent on the closed hardware-based IT infrastructure. This has raised a huge demand for skilled Cloud specialist who can manage and support the systems running on cloud across different regions of the world.
• Score: 0.0
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: There are many sectors which have moved to Cloud and are planning aggressively to move their workloads to Cloud since the world entered Covid-19 pandemic. There are various reasons why Cloud is an essential irresistible technology and serves as an ultimate solution to access IT software and systems. It has become a new essential catalyst for Enterprise Organisations which are looking for Digital Transformation. Remote working is a common phenomenon now across all the IT companies making the services available all the time. Covid-19 has made cloud adoption an immediate priority for Organisation rather than a slowly approached future transformation. The benefits of Cloud lies in the fact that employees rather engineers of an enterprise are no more dependent on the closed hardware-based IT infrastructure and hence eliminates the necessity of working from the networked office premises. This has raised a huge demand for skilled Cloud specialist who can manage and support the systems running on cloud across different regions of the world. In this research, the reasons for growing Cloud adoption after pandemic Covid-19 has been described and the challenges which Organization will face is also explained. This study also details the most used cloud services during the pandemic considering Amazon Web Services as the cloud provider.

Related papers

• Cloud Security and Security Challenges Revisited [0.0]
  We revisit attacks on Cloud services and Cloud-related attack vectors that have been published in recent years. Based on these findings, we apply a security metric in order to rank all these Cloud-related security challenges concerning their severity.
  arXiv  Detail & Related papers  (2024-05-18T17:42:02Z)
• Cloud-Native Computing: A Survey from the Perspective of Services [41.25934971576225]
  Cloud-native computing is the most influential development principle for web applications. This paper surveys key issues during the life-cycle of cloud-native applications from the perspective of services.
  arXiv  Detail & Related papers  (2023-06-26T03:32:35Z)
• Assess and Summarize: Improve Outage Understanding with Large Language Models [45.39343325427484]
  We present and empirically validate a novel approach (dubbed Oasis) to help the engineers in this task. Oasis is able to automatically assess the impact scope of outages as well as to produce human-readable summarization. Results show that Oasis can effectively and efficiently summarize outages, and lead Microsoft to deploy its first prototype.
  arXiv  Detail & Related papers  (2023-05-29T13:36:19Z)
• Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks [0.0]
  Serverless cloud is an innovative cloud service model that frees customers from most cloud management duties. A big threat to the serverless cloud's performance is cold-start, which is when the time of provisioning the needed cloud resource to serve customers' requests incurs unacceptable costs to the service providers and/or the customers. This paper proposes a novel low-coupling, high-cohesion ensemble policy that addresses the cold-start problem at infrastructure- and function-levels of the serverless cloud stack.
  arXiv  Detail & Related papers  (2023-04-01T21:54:22Z)
• Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap [0.0]
  This survey paper on privacy-preserving cloud computing can help pave the way for future research in related areas. This paper helps to identify existing trends by establishing a layered architecture along with a life cycle and an ecosystem for privacy-preserving cloud systems.
  arXiv  Detail & Related papers  (2022-04-23T18:47:26Z)
• Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey [104.71816962689296]
  Unsupervised point cloud representation learning has attracted increasing attention due to the constraint in large-scale point cloud labelling. This paper provides a comprehensive review of unsupervised point cloud representation learning using deep neural networks.
  arXiv  Detail & Related papers  (2022-02-28T07:46:05Z)
• Edge-Cloud Polarization and Collaboration: A Comprehensive Survey [61.05059817550049]
  We conduct a systematic review for both cloud and edge AI. We are the first to set up the collaborative learning mechanism for cloud and edge modeling. We discuss potentials and practical experiences of some on-going advanced edge AI topics.
  arXiv  Detail & Related papers  (2021-11-11T05:58:23Z)
• Auto-Split: A General Framework of Collaborative Edge-Cloud AI [49.750972428032355]
  This paper describes the techniques and engineering practice behind Auto-Split, an edge-cloud collaborative prototype of Huawei Cloud. To the best of our knowledge, there is no existing industry product that provides the capability of Deep Neural Network (DNN) splitting.
  arXiv  Detail & Related papers  (2021-08-30T08:03:29Z)
• PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers [81.71904691925428]
  We present a new method that reformulates point cloud completion as a set-to-set translation problem. We also design a new model, called PoinTr, that adopts a transformer encoder-decoder architecture for point cloud completion. Our method outperforms state-of-the-art methods by a large margin on both the new benchmarks and the existing ones.
  arXiv  Detail & Related papers  (2021-08-19T17:58:56Z)
• Cloud Computing Concept and Roots [0.0]
  Cloud computing is a particular implementation of distributed computing. It inherited many properties of distributed computing such as scalability, reliability and distribution transparency. New processing and storage resources can be added into the Cloud resource pool seamlessly.
  arXiv  Detail & Related papers  (2021-01-28T17:42:46Z)
• Anomaly Detection in a Large-scale Cloud Platform [9.283888139549067]
  Cloud computing is ubiquitous: more and more companies are moving the workloads into the Cloud. Service providers need to monitor the quality of their ever-growing offerings effectively. We designed and implemented an automated monitoring system for the IBM Cloud Platform.
  arXiv  Detail & Related papers  (2020-10-21T12:58:36Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.