New Advances in Cloud Computing and Its Latest Applications

Dear Colleagues,

New technologies, especially “computational paradigms”, can be used in a variety of fields, including educational ones. This fact helps in design, searching, presentation, exchange reuse, and learning objects, since technologies can store, organize, file, disseminate, and transform, which saves time and educational resources. In the educational area, we have seen the need to create spaces where there are no limits on time or capacity; that is how education uses various platforms for the teaching–learning process. At the level of higher education, especially in the fields of computer engineering and education, academia shows significant enthusiasm for the development of various skills related to technological competencies. This fact leads to the need to adapt the use of complementary tools as cloud tools, a body of knowledge for correct integrated learning innovations. In this context, cloud computing is evolving to meet the demands of complex, data-intensive applications, pushing the boundaries in sectors such as healthcare, finance, and entertainment. Its advancements in AI, security, and hybrid architectures are set to drive more specialized and efficient applications, reshaping digital capabilities across the board.

Cloud computing is transforming the education sector by enabling new methods of teaching, learning, and administration.

Cloud computing enhances flexibility, scalability, and access to resources in education, making it easier for institutions to offer inclusive and high-quality learning experiences for students everywhere.

Cloud computing has seen significant advances, enabling broader applications across various industries. Here are some of the most impactful developments and applications:

Key Advances in Cloud Computing

• Edge and Fog Computing: These technologies process data closer to their source, which reduces latency and network bandwidth, enhancing performance for IoT devices and supporting real-time applications such as autonomous vehicles and industrial automation.
• AI and Machine Learning Integration: Leading cloud platforms now provide enhanced AI and ML services, which make it easier to perform tasks like data analysis, predictive modeling, and automation. This trend has enabled industries like healthcare and finance to leverage machine learning models directly on cloud infrastructure.
• Serverless Computing: Also known as Function as a Service (FaaS), serverless computing allows developers to build and deploy applications without managing the underlying infrastructure. It improves scalability and reduces costs by charging only for actual compute usage rather than maintaining idle resources.
• Multi-Cloud and Hybrid Cloud Strategies: Organizations are increasingly adopting hybrid (combining on-premise with cloud) and multi-cloud (using multiple providers) strategies. This approach enhances flexibility, minimizes dependency on a single provider, and improves disaster recovery and compliance with data sovereignty laws.
• Quantum Computing in the Cloud: Cloud providers like IBM and Google are beginning to offer quantum computing resources, allowing researchers and developers to explore quantum applications in cryptography, drug discovery, and complex problem solving.
• Enhanced Security Measures: Cloud providers have introduced advanced security tools like AI-driven threat detection, encryption at all levels, and zero-trust architecture, which are critical in the face of rising cyber threats.

Prof. Dr. Pablo Alejandro Quezada-Sarmiento
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• cloud computing
• education
• edge and fog computing
• AI and machine learning integration
• serverless computing
• multi-cloud and hybrid cloud strategies
• quantum computing in the cloud
• enhanced security measures