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Blockchain-as-a-Service
Published in Shaun Aghili, The Auditor's Guide to Blockchain Technology, 2023
Ramya Bomidi, Srija Guntupalli, Sanober Mohammed, Bhargav Putturu Theja
Cloud service providers, customers, users, access security brokers and regulators play a crucial role in cloud computing. The benefits of the cloud computing solution include cost savings, reducing upfront IT expenses, providing backup services that prevent data loss and its support of multitenancy makes it easy to share servers and applications among multiple users.
Encryption Algorithms for Cloud Computing and Quantum Blockchain
Published in Thiruselvan Subramanian, Archana Dhyani, Adarsh Kumar, Sukhpal Singh Gill, Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network, 2023
Prabhsharan Kaur, Isha Sharma, Rahul Kumar Singh
Security is always a major concern in cloud computing since everything from user data to service provider resources are available on the internet and there are always chances of security breaches as well. Due to this,the acceptance of cloud computing technology is still in the infancy stage and it’s not fully adopted by all the users throughout the world [10].
Exploring the Scope of Policy Issues Influencing IoT Health and Big Data: A Structured Review
Published in Adarsh Garg, D. P. Goyal, Global Healthcare Disasters, 2023
Cloud computing involves the remote use of servers, computing platforms, and software systems over the Internet. In resource-constrained settings, cloud technologies can be an effective way of lowering infrastructure cost while also facilitating technical robustness (Wang et al., 2016). Nevertheless, there are concerns about using public clouds to host health data, including technical setbacks such as Internet bandwidth limitations (Auffray et al., 2016; Wahl et al., 2018).
An Energy-Aware Agent-Based Resource Allocation Using Targeted Load Balancer for Improving Quality of Service in Cloud Environment
Published in Cybernetics and Systems, 2023
Umamageswaran Jambulingam, K. Balasubadra
The benefits of cloud computing include flexibility, high performance, pay-per-use, and on-demand service. Task scheduling is one of the crucial research questions in cloud computing. Scheduling has the dual goals of allocating tasks to available resources and achieving particular objectives more efficiently. In order to solve job scheduling issues in cloud computing settings, metaheuristic and hybrid metaheuristic algorithms are created (Aktan and Bulut 2022). Additionally created metaheuristic methods based on the genetic algorithm (GA), differential evolution (DE), and simulated annealing (SA), which was integrated with a greedy approach (GR). Additionally, greedy methodology was linked with the invention of hybrid metaheuristic algorithms such as DE-SA and GA-SA. The suggested methods were assessed in terms of turnaround time and virtual machine load balancing.
How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review
Published in International Journal of Production Research, 2023
Alessia Napoleone, Elisa Negri, Marco Macchi, Alessandro Pozzetti
Cloud computing, relying on internet-based big data analytics, is the enabling technology when data need to be collected from socialised and distributed resources and then, exploiting shared big data analytics, analysed to promptly react to disturbances and unexpected events (Ding and Jiang 2018). Cloud computing is the aggregation of computing as a utility and software as a service, where the applications are delivered as services over the Internet. Although cloud computing can support distributed engineering scenarios, intelligence and processing (e.g. decision-making) typically remain central, which means distributed clients depend on consistent and resilient connections with the cloud; therefore, these centralised services are not suited to the control architecture needed for decentralised and autonomous decision-making (O’Donovan et al. 2018). As explained below, acting on different layers, fog and edge computing complement cloud computing and overcome this limitation.
A Comprehensive Literature of Genetics Cryptographic Algorithms for Data Security in Cloud Computing
Published in Cybernetics and Systems, 2023
Ozgu Can, Fursan Thabit, Asia Othman Aljahdali, Sharaf Al-Homdy, Hoda A. Alkhzaimi
Cloud computing is a technology that enables the delivery of services through the Internet. The cloud functions as a data center. A consumer is charged for using cloud resources, storage, and other services. Cloud subscriptions for users are determined by the services they require, such as IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service) (Software as a service). As a result, Cloud Computing has arisen to provide processing power storage, resources, and applications to users as a “Utility” for meeting their needs. The availability of this cloud model is promoted. It has five distinguishing characteristics, three service models, and four deployment models. The five most important aspects are resource pooling, broad network access, on-demand self-service, rapid flexibility, and measurable service. There are three service models IaaS: Infrastructure as A Service, PaaS: Platform as a service, SaaS: software as a service, application as a service, and everything as a service. The four deployment models are public cloud, private cloud, hybrid cloud, and community cloud.