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Rapid adoption of Cloud computing for hosting services and its success is primarily attributed to its attractive features such as elasticity, availability and pay-as-you-go pricing model. However, the huge amount of energy consumed by cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-01 Minxian Xu , Adel N. Toosi , Rajkumar Buyya

The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure. Virtualization technologies enable users to acquire,…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-08 Minxian Xu , Wenhong Tian , Rajkumar Buyya

Data centers form a key part of the infrastructure upon which a variety of information technology services are built. They provide the capabilities of centralized repository for storage, management, networking and dissemination of data.…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-06 Mueen Uddin , Azizah Abdul Rahman

Energy conservation of large data centers for high-performance computing workloads, such as deep learning with big data, is of critical significance, where cutting down a few percent of electricity translates into million-dollar savings.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-02 Xinxin Mei , Qiang Wang , Xiaowen Chu , Hai Liu , Yiu-Wing Leung , Zongpeng Li

Cloud computing is widely adopted by corporate as well as retail customers to reduce the upfront cost of establishing computing infrastructure. However, switching to the cloud based services poses a multitude of questions, both for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-22 M P Gilesh

High performance calculation is increasingly used within society. Previously reserved for an elite, based on large computing and storage infrastructures, it is now a core module for many companies. Indeed, high performance calculation makes…

Computers and Society · Computer Science 2019-12-10 Cyrille Bonamy , Laurent Lefèvre , Gabriel Moreau

In cloud computing environment, load balancing is a key issue which is required to distribute the dynamic workload over multiple machines to make certain that no single machine is overloaded. In recent research, many organizations lose…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-02 Chukwuneke Chiamaka Ijeoma , Inyiama , Hyacinth C. , Amaefule Samuel , Onyesolu Moses Okechukwu , Asogwa Doris Chinedu

The popularization of cloud computing has raised concerns over the energy consumption that takes place in data centers. In addition to the energy consumed by servers, the energy consumed by large numbers of network devices emerges as a…

Networking and Internet Architecture · Computer Science 2016-11-17 Lin Wang , Fa Zhang , Jordi Arjona Aroca , Athanasios V. Vasilakos , Kai Zheng , Chenying Hou , Dan Li , Zhiyong Liu

It is estimated that data centers constitute 1.5% of global electricity usage. At the same time, to serve increasing user requirements, modern cloud providers are operating multiple geographically distributed data centers. Distributed data…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-18 Dražen Lučanin

Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-02-16 Michele Mazzucco , Dmytro Dyachuk , Ralph Deters

Cloud data centers face increasing pressure to reduce operational energy consumption as big data workloads continue to grow in scale and complexity. This paper presents a workload aware and energy efficient scheduling framework that…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Milan Parikh , Aniket Abhishek Soni , Sneja Mitinbhai Shah , Ayush Raj Jha

Network Function Virtualization (NFV) takes advantage of hardware virtualization to undertake software processing for various functions, and complements the drawbacks of traditional network technology. To speed up NFV related research, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-09-22 Wutong Yang , Minxian Xu , Guozhong Li , Wenhong Tian

To improve the environmental implications of the growing demand of computing, future applications need to improve the carbon-efficiency of computing infrastructures. State-of-the-art approaches, however, do not consider the intermittent…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-04 Young Geun Kim , Udit Gupta , Andrew McCrabb , Yonglak Son , Valeria Bertacco , David Brooks , Carole-Jean Wu

In recent years, the Edge Computing (EC) paradigm has emerged as an enabling factor for developing technologies like the Internet of Things (IoT) and 5G networks, bridging the gap between Cloud Computing services and end-users, supporting…

Machine Learning · Computer Science 2022-01-19 Guilherme Cassales , Heitor Gomes , Albert Bifet , Bernhard Pfahringer , Hermes Senger

In cloud computing resource management plays a significant role in data centres and it is directly dependent on the application workload. Various services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-26 Smruti Rekha Swain , Ashutosh Kumar Singh , Chung Nan Lee

Computing is at a moment of profound opportunity. Emerging applications -- such as capable artificial intelligence, immersive virtual realities, and pervasive sensor systems -- drive unprecedented demand for computer. Despite recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-22 Benjamin C. Lee , David Brooks , Arthur van Benthem , Udit Gupta , Gage Hills , Vincent Liu , Benjamin Pierce , Christopher Stewart , Emma Strubell , Gu-Yeon Wei , Adam Wierman , Yuan Yao , Minlan Yu

Cloud Computing has established itself as an efficient and cost-effective paradigm for the execution of web-based applications, and scientific workloads, that need elasticity and on-demand scalability capabilities. However, the evaluation…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-22 Remo Andreoli , Jie Zhao , Tommaso Cucinotta , Rajkumar Buyya

With the rapid expansion of cloud computing infrastructure, energy consumption has become a critical challenge, driving the need for accurate and efficient prediction models. This study proposes a novel Vector Weighted Average Kernel…

Machine Learning · Computer Science 2025-07-14 Yuqing Wang , Xiao Yang

Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-03-17 Rodrigo N. Calheiros , Rajiv Ranjan , Cesar A. F. De Rose , Rajkumar Buyya

Computing-in-Memory (CiM) architectures aim to reduce costly data transfers by performing arithmetic and logic operations in memory and hence relieve the pressure due to the memory wall. However, determining whether a given workload can…

Hardware Architecture · Computer Science 2020-01-16 Di Gao , Dayane Reis , Xiaobo Sharon Hu , Cheng Zhuo