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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-based computing infrastructure provides an efficient means to support real-time processing workloads, e.g., virtualized base station processing, and collaborative video conferencing. This paper addresses resource allocation for a…

Networking and Internet Architecture · Computer Science 2016-03-08 Yuhuan Du , Gustavo de Veciana

A wireless system is considered, where, computationally complex algorithms are offloaded from user devices to an edge cloud server, for the purpose of efficient battery usage. The main focus of this paper is to characterize and analyze, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 Shreya Tayade , Peter Rost , Andreas Maeder , Hans D. Schotten

Modern Infrastructure-as-a-Service Clouds operate in a competitive environment that caters to any user's requirements for computing resources. The sharing of the various types of resources by diverse applications poses a series of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-28 Evangelos Angelou , Konstantinos Kaffes , Athanasia Asiki , Georgios Goumas , Nectarios Koziris

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

Operating cloud service infrastructures requires high energy efficiency while ensuring a satisfactory service level. Motivated by data centers, we consider a workload routing and server speed control policy applicable to the system…

Performance · Computer Science 2023-03-06 Seung Min Baik , Young Myoung Ko

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

The rapid expansion of data centers (DCs) has intensified energy and carbon footprint, incurring a massive environmental computing cost. While carbon-aware workload migration strategies have been examined, existing approaches often overlook…

Systems and Control · Electrical Eng. & Systems 2025-04-02 Yichao Zhang , Yubo Song , Subham Sahoo

Smart homes require every device inside them to be connected with each other at all times, which leads to a lot of power wastage on a daily basis. As the devices inside a smart home increase, it becomes difficult for the user to control or…

Artificial Intelligence · Computer Science 2020-09-30 Saurabh Gupta , Siddhant Bhambri , Karan Dhingra , Arun Balaji Buduru , Ponnurangam Kumaraguru

Cloud computing is revolutionizing the ICT landscape by providing scalable and efficient computing resources on demand. The ICT industry - especially data centers, are responsible for considerable amounts of CO2 emissions and will very soon…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-16 Drazen Lucanin , Michael Maurer , Toni Mastelic , Ivona Brandic

Cloud providers have introduced pricing models to incentivize long-term commitments of compute capacity. These long-term commitments allow the cloud providers to get guaranteed revenue for their investments in data centers and computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-01 Murray Stokely , Neel Nadgir , Jack Peele , Orestis Kostakis

In recent years, as the demand for low energy and high performance computing has steadily increased, heterogeneous computing has emerged as an important and promising solution. Because most workloads can typically run most efficiently on…

Performance · Computer Science 2017-12-11 Zhuo Chen , Diana Marculescu

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

Data centers have become one of the major energy consumers, making their low-carbon operations critical to achieving global carbon neutrality. Although distributed data centers have the potential to reduce costs and emissions through…

Systems and Control · Electrical Eng. & Systems 2024-12-31 Rui Xie , Yue Chen , Xi Weng

Energy consumption is a growing issue in data centers, impacting their economic viability and their public image. In this work we empirically characterize the power and energy consumed by different types of servers. In particular, in order…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-05 Jordi Arjona , Angelos Chatzipapas , Antonio Fernandez Anta , Vincenzo Mancuso

In today's world, the use of cloud data centers for easy access to data and processing resources is expanding rapidly. Rapid technology growth and increasing number of users make hardware and software architectures upgrade a constant need.…

Networking and Internet Architecture · Computer Science 2023-11-30 Hamid Reza Naji , Reza Esmaeili

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park

The energy demand of modern cloud services, particularly those related to generative AI, is increasing at an unprecedented pace. To date, carbon-aware computing strategies have primarily focused on batch process scheduling or…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-05 Philipp Wiesner , Dennis Grinwald , Philipp Weiß , Patrick Wilhelm , Ramin Khalili , Odej Kao

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

The energy consumption analysis and optimization of data centers have been an increasingly popular topic over the past few years. It is widely recognized that several effective metrics exist to capture the efficiency of hardware and/or…

Hardware Architecture · Computer Science 2025-03-14 Guillaume Fieni , Romain Rouvoy , Lionel Seinturier
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