Advances in High Performance Cloud Computing

Dear Colleagues,

Cloud computing has revolutionized the modern IT infrastructure and software industry. Cloud technologies and paradigms, such as on-demand services, resource virtualization, elastic computing and the pay-as-you-use pricing model, help improve the accessibility, agility and cost efficiency of computing resources. Today, clouds have become one of the most popular platforms for hosting various applications, including the Web, IoT, AI and enterprise software. However, many challenges remain for cloud computing to meet the service requirements of applications. Among the most important challenges is performance. For instance, IoT applications require a low network latency delay, deep learning requires high computing throughput for model training and data-intensive applications need high IO performance. Addressing the performance issues in the cloud environment is particularly challenging as resources are shared, virtualized and accessed remotely. Many efforts have been made to improve the performance of clouds in various aspects. Resource management strategies are still critical for performance optimization in clouds. However, new technologies and architectures have also been discussed. To minimize virtualization overhead, there is a growing trend to use lightweight virtualization techniques, such as container. To avoid long latency delay, hybrid cloud architectures, such as edge clouds and geo-distributed clouds, have emerged. Finally, techniques such as modeling, prediction, monitoring and benchmarking are also essential for understanding and optimizing cloud performance. The purpose of this Special Issue is to provide the academic and industrial communities with an excellent platform covering all aspects of current work on the emerging trends of cloud computing related to performance. Potential topics include, but are not limited to, the following:

• Cloud computing and services;
• Resource virtualization, including container and virtual machine;
• Resource management and scheduling;
• High-performance computing and runtime environment;
• Performance modeling, analysis and optimization;
• Emerging applications and technologies for high-performance clouds;
• Hybrid cloud architectures, such as edge computing, geo-distributed clouds and hybrid clouds.

Dr. Jerry Chou
Dr. Wu-Chun Chung
Guest Editors

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. Future Internet is an international peer-reviewed open access monthly 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 1600 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.

• services
• virtualization
• container
• performance
• resource management
• distributed systems
• data centers
• clouds
• benchmarking and modeling