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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

With the increasing popularity of Internet-based services and applications, power efficiency is becoming a major concern for data center operators, as high electricity consumption not only increases greenhouse gas emissions, but also…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-19 Dmytro Dyachuk , Michele Mazzucco

The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the energy footprint of data centers. However, existing power consumption data is largely…

Systems and Control · Electrical Eng. & Systems 2026-04-09 Roberto Vercellino , Jared Willard , Gustavo Campos , Weslley da Silva Pereira , Olivia Hull , Matthew Selensky , Juliane Mueller

As software systems increase in complexity, conventional monitoring methods struggle to provide a comprehensive overview or identify performance issues, often missing unexpected problems. Observability, however, offers a holistic approach,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-29 Bartosz Balis , Konrad Czerepak , Albert Kuzma , Jan Meizner , Lukasz Wronski

The amount of energy consumed during the execution of software, and the ability to predict future consumption, is an important factor in the design of embedded electronic systems. In this technical report I examine factors in the execution…

Software Engineering · Computer Science 2014-11-11 Jeremy Morse

Cloud computing is a new computing paradigm which allows sharing of resources on remote server such as hardware, network, storage using internet and provides the way through which application, computing power, computing infrastructure can…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-01 Abu Salim , Rajesh Kumar Tiwari , Sachin Tripathi

Workload predictions in cloud computing is obviously an important topic. Most of the existing publications employ various time series techniques, that might be difficult to implement. We suggest here another route, which has already been…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-12 Michel Fliess , Cédric Join , Maria Bekcheva , Alireza Moradi , Hugues Mounier

This paper discusses the various models related to cloud computing. Knowing the metrics related to infrastructure is very critical to enhance the performance of cloud services. Various metrics related to clouds such as pageview response…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-04 Chaitanya Krishna Kande

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the resources dynamically for customers anytime. Drawing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-13 Qiheng Zhou , Minxian Xu , Sukhpal Singh Gill , Chengxi Gao , Wenhong Tian , Chengzhong Xu , Rajkumar Buyya

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible…

Cryptography and Security · Computer Science 2015-06-04 Rohit Bhadauria , Sugata Sanyal

Cloud computing is an emerging computing model where IT and computing operations are delivered as services in highly scalable and cost effective manner. Recently, embarking this new model in business has become popular. Companies in diverse…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-22 Jafar Shayan , Ahmad Azarnik , Suriayati Chuprat , Sasan Karamizadeh , Mojtaba Alizadeh

Enabling observability in software systems brings many benefits. It can, for example, ease the identification of issues or the implementation of improvements. It is especially critical to be able to observe sustainability-related dimensions…

Software Engineering · Computer Science 2026-04-13 Klervie Toczé , Andrei Dragomir , Vincenzo Stoico , Patricia Lago

Cloud computing is a style of computing in which dynamically scalable and other virtualized resources are provided as a service over the Internet. The energy consumption and makespan associated with the resources allocated should be taken…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-20 Wanneng Shu , Wei Wang , Yunji Wang

Datacenter capacity is growing exponentially to satisfy the increasing demand for emerging computationally-intensive applications, such as deep learning. This trend has led to concerns over datacenters' increasing energy consumption and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-25 Xiaoding Guan , Noman Bashir , David Irwin , Prashant Shenoy

It is common for cloud data centers meeting unexpected loads like request bursts, which may lead to overloaded situation and performance degradation. Dynamic Voltage Frequency Scaling and VM consolidation have been proved effective to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-27 Minxian Xu , Amir Vahid Dastjerdi , Rajkumar Buyya

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-02-27 Zaheer Khan , David Ludlow , Richard McClatchey , Ashiq Anjum

In many datacenters, server racks are highly underutilized. Rack slots are left empty to keep the sum of the server nameplate maximum power below the power provisioned to the rack. And the servers that are placed in the rack cannot make…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-12 Yong Fu , Anne Holler , Chenyang Lu

Robustly estimating energy consumption in High-Performance Computing (HPC) is essential for assessing the energy footprint of modern workloads, particularly in fields such as Artificial Intelligence (AI) research, development, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-10 Luis G. León-Vega , Niccolò Tosato , Stefano Cozzini

Efficient power management in cloud data centers is essential for reducing costs, enhancing performance, and minimizing environmental impact. GPUs, critical for tasks like machine learning (ML) and GenAI, are major contributors to power…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-15 Tirth Vamja , Kaustabha Ray , Felix George , UmaMaheswari C Devi

Power consumption is a major obstacle for High Performance Computing (HPC) systems in their quest towards the holy grail of ExaFLOP performance. Significant advances in power efficiency have to be made before this goal can be attained and…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-01 Alina Sîrbu , Ozalp Babaoglu