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Serverless computing has become a new trending paradigm in cloud computing, allowing developers to focus on the development of core application logic and rapidly construct the prototype via the composition of independent functions. With the…

Software Engineering · Computer Science 2023-02-07 Jinfeng Wen , Yi Liu , Zhenpeng Chen , Junkai Chen , Yun Ma

Cloud Data Centers have become the backbone infrastructure to provide services. With the emerging edge computing paradigm, computation and networking capabilities have been pushed from clouds to the edge to provide computation,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-07 TianZhang He , Rajkumar Buyya

This paper explores a prevailing trend in the industry: migrating data-intensive analytics applications from on-premises to cloud-native environments. We find that the unique cost models associated with cloud-based storage necessitate a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-02 Chunxu Tang , Yi Wang , Bin Fan , Beinan Wang , Shouwei Chen , Ziyue Qiu , Chen Liang , Jing Zhao , Yu Zhu , Mingmin Chen , Zhongting Hu

Cloud computing (CC) is a centralized computing paradigm that accumulates resources centrally and provides these resources to users through Internet. Although CC holds a large number of resources, it may not be acceptable by real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-29 Muhammad Asim , Yong Wang , Kezhi Wang , Pei-Qiu Huang

The next generation of cellular networks is designed to provide ubiquitous connectivity to a wide range of devices. As Telecommunication Service Providers (TSPs) increasingly collaborate with public cloud providers to deploy 5G and beyond…

Systems and Control · Electrical Eng. & Systems 2026-03-11 Tolga O. Atalay , Alireza Famili , Amirreza Ghafoori , Angelos Stavrou

Modern production data processing and machine learning pipelines on the cloud are critical components for many cloud-based companies. These pipelines are typically composed of complex workflows represented by directed acyclic graphs (DAGs).…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-14 Erica Lin , Luna Xu , Suraj Bramhavar , Marco Montes de Oca , Sean Gorsky , Lingyun Yi , Arianna Groetsema , Jeffrey Chou

High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-05 Marco A. S. Netto , Rodrigo N. Calheiros , Eduardo R. Rodrigues , Renato L. F. Cunha , Rajkumar Buyya

Energy efficiency is a crucial factor in the well-being of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient workflows for enhancing behavior. So, analyzing energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-03 Abdullah Alsalemi , Ayman Al-Kababji , Yassine Himeur , Faycal Bensaali , Abbes Amira

With the advantages that cloud computing offers in terms of platform as a service, software as a service, and infrastructure as a service, data engineers and data scientists are able to leverage cloud computing for their ETL/ELT (extract,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-01 Mohammad Rehman , Hairong Wang

Can cloud computing infrastructures provide HPC-competitive performance for scientific applications broadly? Despite prolific related literature, this question remains open. Answers are crucial for designing future systems and democratizing…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-09 Giulia Guidi , Marquita Ellis , Aydin Buluc , Katherine Yelick , David Culler

The increasing deployment of deep neural networks (DNNs) in cyber-physical systems (CPS) enhances perception fidelity, but imposes substantial computational demands on execution platforms, posing challenges to real-time control deadlines.…

Machine Learning · Computer Science 2026-05-04 Pragya Sharma , Hang Qiu , Mani Srivastava

Cloud computing, thanks to the pervasiveness of information technologies, provides a foundational environment for developing IT applications, offering organizations virtually unlimited and flexible computing resources on a pay-per-use…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-15 Han Wang , Sukhpal Singh Gill , Steve Uhlig

Cloud-computing shares a common pool of resources across customers at a scale that is orders of magnitude larger than traditional multi-user systems. Constituent physical compute servers are allocated multiple "virtual machines" (VM) to…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-19 Souvik Ghosh , Soumyadip Ghosh

Cloud storage is fast securing its role as a major repository for both consumers and business customers. Many companies now offer storage solutions, sometimes for free for limited amounts of capacity. We have surveyed the pricing plans of a…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-07-26 Loretta Mastroeni , Maurizio Naldi

Data centers (DCs) nowadays house tens of thousands of servers and switches, interconnected by high-speed communication links. With the rapid growth of cloud DCs, in both size and number, tremendous efforts have been undertaken to…

Networking and Internet Architecture · Computer Science 2020-10-05 Jarallah Alqahtani , Sultan Alanazi , Bechir Hamdaoui

In-network caching is likely to become an integral part of various networked systems (e.g., 5G networks, LPWAN and IoT systems) in the near future. In this paper, we compare and contrast model-based and machine learning approaches for…

Networking and Internet Architecture · Computer Science 2020-04-16 Adita Kulkarni , Anand Seetharam

Understanding inter-VM interference is of paramount importance to provide a sound knowledge and understand where performance degradation comes from in the current public cloud. With this aim, this paper devises a workload taxonomy that…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-13 Lucia Pons , Josué Feliu , José Puche , Chaoyi Huang , Salvador Petit , Julio Pons , María E. Gómez , Julio Sahuquillo

The seek for the best quality of service has led Cloud infrastructure clients to disseminate their services, contents and data over multiple cloud data-centers often involving several Cloud Service Providers (CSPs). The consequence of this…

Networking and Internet Architecture · Computer Science 2017-09-01 Jose Luis Garcia-Dorado

Scientific research increasingly depends on robust and scalable IT infrastructures to support complex computational workflows. With the proliferation of services provided by research infrastructures, NRENs, and commercial cloud providers,…

Containerization is a lightweight application virtualization technology, providing high environmental consistency, operating system distribution portability, and resource isolation. Existing mainstream cloud service providers have…

Machine Learning · Computer Science 2021-08-23 Zhiheng Zhong , Minxian Xu , Maria Alejandra Rodriguez , Chengzhong Xu , Rajkumar Buyya
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