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Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-02 Abdellah Idrissi , Faouzia Zegrari

The workloads running in the modern data centers of large scale Internet service providers (such as Amazon, Baidu, Facebook, Google, and Microsoft) support billions of users and span globally distributed infrastructure. Yet, the devices…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-14 Justin Meza

Research around cloud computing has largely been dedicated to ad-dressing technical aspects associated with utilizing cloud services, surveying critical success factors for the cloud adoption, and opinions about its impact on IT functions.…

Software Engineering · Computer Science 2020-04-22 Mahdi Fahmideh , Farhad Daneshgar , Fethi Rabhi

Efficient virtual machine load balancing scheduling is crucial in cloud computing to optimize resource utilization and system performance. To address this issue, several load balancing scheduling algorithms have been proposed, including…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Priyank Vaidya , Abhinav Sharma , Murli Patel

The Dynamic Scalability of resources, a problem in Infrastructure as a Service (IaaS) has been the hotspot for research and industry communities. The heterogeneous and dynamic nature of the Cloud workloads depends on the Quality of Service…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-26 Sukhpal Singh , Inderveer Chana

In recent years, the integration of artificial intelligence (AI) and cloud computing has emerged as a promising avenue for addressing the growing computational demands of AI applications. This paper presents a comprehensive study of…

Machine Learning · Computer Science 2023-04-28 Neelesh Mungoli

We present and formalize a general approach for profiling workload by leveraging only a priori available static metadata to supply appropriate resource needs. Understanding the requirements and characteristics of a workload's runtime is…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-30 Andrea Morichetta , Stefan Nastic , Victor Casamayor Pujol , Schahram Dustdar

Serving large language models (LLMs) is important for cloud providers, and caching intermediate results (KV\$) after processing each request substantially improves serving throughput and latency. However, there is limited understanding of…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-17 Jiahao Wang , Jinbo Han , Xingda Wei , Sijie Shen , Dingyan Zhang , Chenguang Fang , Rong Chen , Wenyuan Yu , Haibo Chen

Understanding cluster-wide I/O patterns of large-scale HPC clusters is essential to minimize the occurrence and impact of I/O interference. Yet, most previous work in this area focused on monitoring and predicting task and node-level I/O…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-22 Ehsan Saeedizade , Roya Taheri , Engin Arslan

In recent years, cloud computing has been widely used. Cloud computing refers to the centralized computing resources, users through the access to the centralized resources to complete the calculation, the cloud computing center will return…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-28 Yifan Zhang , Bo Liu , Yulu Gong , Jiaxin Huang , Jingyu Xu , Weixiang Wan

Public edge platforms have drawn increasing attention from both academia and industry. In this study, we perform a first-of-its-kind measurement study on a leading public edge platform that has been densely deployed in China. Based on this…

Networking and Internet Architecture · Computer Science 2021-11-10 Mengwei Xu , Zhe Fu , Xiao Ma , Li Zhang , Yanan Li , Feng Qian , Shangguang Wang , Ke Li , Jingyu Yang , Xuanzhe Liu

In this paper we present the Chelonia storage cloud middleware. It was designed to fill the requirements gap between those of large, sophisticated scientific collaborations which have adopted the grid paradigm for their distributed storage…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-02-04 Jon K. Nilsen , Salman Toor , Zsombor Nagy , Bjarte Mohn , Alex L. Read

Despite significant reliability efforts, large-scale cloud services inevitably experience production incidents that can significantly impact service availability and customer's satisfaction. Worse, in many cases one incident can lead to…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-28 Supriyo Ghosh , Karish Grover , Jimmy Wong , Chetan Bansal , Rakesh Namineni , Mohit Verma , Saravan Rajmohan

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-20 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

Cloud computing has permeated into the information technology industry in the last few years, and it is emerging nowadays in scientific environments. Science user communities are demanding a broad range of computing power to satisfy the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-26 Álvaro López García , Enol Fernández-del-Castillo , Pablo Orviz Fernández , Isabel Campos Plasencia , Jesús Marco de Lucas

For the first time, this paper systematically identifies three categories of throughput oriented workloads in data centers: services, data processing applications, and interactive real-time applications, whose targets are to increase the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Jianfeng Zhan , Lixin Zhang , Ninghui Sun , Lei Wang , Zhen Jia , Chunjie Luo

Cloud native solutions are widely applied in various fields, placing higher demands on the efficient management and utilization of resource platforms. To achieve the efficiency, load forecasting and elastic scaling have become crucial…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-22 Linfeng Wen , Minxian Xu , Adel N. Toosi , Kejiang Ye

The history behind the development of cloud computing is more than several decades of technological progress in the fields of virtualization, distributed systems, and high-speed networking, but its current application is much broader than…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-09 Deepa Gurung , S M Zia Ur Rashid , Zain ul Abdeen , Suman Rath

Hybrid cloud is an integrated cloud computing environment utilizing a mix of public cloud, private cloud, and on-premise traditional IT infrastructures. Workload awareness, defined as a detailed full range understanding of each individual…

Machine Learning · Computer Science 2017-12-19 Mu Qiao , Luis Bathen , Simon-Pierre Génot , Sunhwan Lee , Ramani Routray

We study a cloud storage operator who provides shared storage service for electricity end-users using the residual part of a multi-service grid-scale battery primarily used for high priority grid services. We design an optimal product…

Signal Processing · Electrical Eng. & Systems 2021-08-16 Mohammad Rasouli , Tao Sun , Camille Pache , Patrick Panciatici , Jean Maeght , Ramesh Johari , Ram Rajagopal
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