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We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer that optimizes the data placement tier (on the cloud) and the…

We propose a disruptive paradigm to actively place and schedule TWhrs of parallel AI jobs strategically on the grid, at distributed, grid-aware high performance compute data centers (HPC) capable of using their massive power and energy load…

分布式、并行与集群计算 · 计算机科学 2025-04-08 Scott C Evans , Nathan Dahlin , Ibrahima Ndiaye , Sachini Piyoni Ekanayake , Alexander Duncan , Blake Rose , Hao Huang

Wireless networks are evolving from radio resource providers to complex systems that also involve computing, with the latter being distributed across edge and cloud facilities. Also, their optimization is shifting more and more from a…

计算机科学与博弈论 · 计算机科学 2025-08-08 Mandar Datar , Mattia Merluzzi

Data centers are large electricity consumers due to the high consumption needs of servers and their cooling systems. Given the current crypto-currency and artificial intelligence trends, the data center electricity demand is bound to grow…

系统与控制 · 电气工程与系统科学 2025-08-20 Enea Figini , Mario Paolone

As a critical component of modern infrastructure, data centers account for a huge amount of power consumption and greenhouse gas emission. This paper studies the electricity purchase strategy for a data center to lower its energy cost while…

系统与控制 · 电气工程与系统科学 2024-05-01 Kekun Gao , Yuejun Yan , Yixuan Liu , Endong Liu , Pengcheng You

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

分布式、并行与集群计算 · 计算机科学 2014-03-28 Mayanka Katyal , Atul Mishra

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…

分布式、并行与集群计算 · 计算机科学 2016-11-22 M P Gilesh

Modern data centres are increasingly adopting containers to enhance power and performance efficiency. These data centres consist of multiple heterogeneous machines, each equipped with varying amounts of resources such as CPU, I/O, memory,…

分布式、并行与集群计算 · 计算机科学 2025-10-27 Suvarthi Sarkar , Nandini Sharma , Akshat Mittal , Aryabartta Sahu

The advancements of cloud computing came as a radical transformation in the way Information and Communication Technology (ICT) services are deployed and maintained. Cloud computing provides ubiquitous on-demand access to an Internet-based…

网络与互联网体系结构 · 计算机科学 2020-01-20 Hatem A. Alharbi , Taisir E. H. Elgorashi , Jaafar M. H. Elmirghani

Cloud computing can be defined as the outsourcing / renting of resources over the network. It has been regarded as an essential utility similar to electricity, water, telephone and sewerage utilities. Over the years, a number of providers…

分布式、并行与集群计算 · 计算机科学 2018-10-12 Noman Islam , Zeeshan Islam

Networks connecting distributed cloud services through multiple data centers are called cloud networks. These types of networks play a crucial role in cloud computing and a holistic performance evaluation is essential before planning a…

网络与互联网体系结构 · 计算机科学 2018-07-24 Eduardo Hargreaves , Paulo H De Aguiar Rodrigues , Daniel S. Menasché

Rapid growth and proliferation of cloud computing services around the world has increased the necessity and significance of improving the energy efficiency of could implementations. Virtual machines (VM) comprise the backend of most, if not…

分布式、并行与集群计算 · 计算机科学 2013-02-12 Sina Esfandiarpoor , Ali Pahlavan , Maziar Goudarzi

Cloud Computing is rising fast, with its data centres growing at an unprecedented rate. However, this has come with concerns of privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence on…

网络与互联网体系结构 · 计算机科学 2009-10-05 Gerard Briscoe , Alexandros Marinos

In order to increase the penetration of electric vehicles, a network of fast charging stations that can provide drivers with a certain level of quality of service (QoS) is needed. However, given the strain that such a network can exert on…

最优化与控制 · 数学 2014-06-20 I. Safak Bayram , George Michailidis , Michael Devetsikiotis , Fabrizio Granelli

Global digitalization has given birth to the explosion of digital services in approximately every sector of contemporary life. Applications of artificial intelligence, blockchain technologies, and internet of things are promising to…

计算机与社会 · 计算机科学 2020-06-15 Nuoa Lei

Cloud Computing is rising fast, with its data centres growing at an unprecedented rate. However, this has come with concerns over privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence…

网络与互联网体系结构 · 计算机科学 2015-05-13 Alexandros Marinos , Gerard Briscoe

The energy consumption of data centers assumes a significant fraction of the world's overall energy consumption. Most data centers are statically provisioned, leading to a very low average utilization of servers. In this work, we survey…

数据结构与算法 · 计算机科学 2021-08-24 Jonas Hübotter

Data centers have emerged as promising resources for demand response, particularly for emergency demand response (EDR), which saves the power grid from incurring blackouts during emergency situations. However, currently, data centers…

计算机科学与博弈论 · 计算机科学 2015-04-29 Niangjun Chen , Xiaoqi Ren , Shaolei Ren , Adam Wierman

A novel cloud data center (DC) model is studied here with cognitive capabilities for real-time (or online) flow compared to the batch tasks. Here, a DC can determine the cost of using resources and an online user or the user with batch…

系统与控制 · 电气工程与系统科学 2020-10-07 Wenlong Ni , Yuhong Zhang , Wei Li

The cloud datacenter has numerous hosts as well as application requests where resources are dynamic. The demands placed on the resource allocation are diverse. These factors could lead to load imbalances, which affect scheduling efficiency…

分布式、并行与集群计算 · 计算机科学 2022-11-07 Sakshi Chhabra , Ashutosh Kumar Singh