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Load balancing has been a fundamental building block of cloud and, more recently, edge computing environments. At the same time, in edge computing environments, prior research has highlighted that applications operate on similar…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-07 Md Washik Al Azad , Spyridon Mastorakis

Cloud computing is penetrating into various domains and environments, from theoretical computer science to economy, from marketing hype to educational curriculum and from R&D lab to enterprise IT infrastructure. Yet, the currently…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-26 Mikael Fernandus Simalango , Mun-Young Kang , Sangyoon Oh

The increasing energy demands and carbon footprint of large-scale AI require intelligent workload management in globally distributed data centers. Yet progress is limited by the absence of benchmarks that realistically capture the interplay…

Traditionally, the development of computing systems has been focused on performance improvements driven by the demand of applications from consumer, scientific and business domains. However, the ever increasing energy consumption of…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-09-07 Anton Beloglazov , Rajkumar Buyya , Young Choon Lee , Albert Zomaya

With the proliferation of mobile applications, Mobile Cloud Computing (MCC) has been proposed to help mobile devices save energy and improve computation performance. To further improve the quality of service (QoS) of MCC, cloud servers can…

Networking and Internet Architecture · Computer Science 2015-11-30 Tianchu Zhao , Sheng Zhou , Xueying Guo , Yun Zhao , Zhisheng Niu

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

For current High Performance Computing systems to scale towards the holy grail of ExaFLOP performance, their power consumption has to be reduced by at least one order of magnitude. This goal can be achieved only through a combination of…

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

The end of Dennard scaling and the slowing of Moore's Law has put the energy use of datacenters on an unsustainable path. Datacenters are already a significant fraction of worldwide electricity use, with application demand scaling at a…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-07 Thomas Anderson , Adam Belay , Mosharaf Chowdhury , Asaf Cidon , Irene Zhang

Edge computing decentralizes computing resources, allowing for novel applications in domains such as the Internet of Things (IoT) in healthcare and agriculture by reducing latency and improving performance. This decentralization is achieved…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-17 Suhrid Gupta , Muhammed Tawfiqul Islam , Rajkumar Buyya

In the paper, we investigate the delay-aware data transmission in renewable energy aided multi-carrier system. Besides utilizing the local renewables, the transmitter can also purchase grid power. By scheduling the amount of transmitted…

Information Theory · Computer Science 2015-07-07 Tian Zhang

Mobile edge computing (a.k.a. fog computing) has recently emerged to enable in-situ processing of delay-sensitive applications at the edge of mobile networks. Providing grid power supply in support of mobile edge computing, however, is…

Machine Learning · Computer Science 2017-03-20 Jie Xu , Lixing Chen , Shaolei Ren

The ICT (Information Communication Technologies) ecosystem is estimated to be responsible, as of today, for 10% of the total worldwide energy demand - equivalent to the combined energy production of Germany and Japan. Cloud storage, mainly…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-27 Lorenzo Posani , Alessio Paccoia , Marco Moschettini

There is a growing need for low latency for many devices and users. The traditional cloud computing paradigm can not meet this requirement, legitimizing the need for a new paradigm. Edge computing proposes to move computing capacities to…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-12 Samuel Rac , Mats Brorsson

Cloud platforms commonly exploit workload temporal flexibility to reduce their carbon emissions. They suspend/resume workload execution for when and where the energy is greenest. However, increasingly prevalent delay-intolerant real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-13 Tharindu B. Hewage , Shashikant Ilager , Maria A. Rodriguez , Rajkumar Buyya

Large language models (LLMs) require substantial computational resources, leading to significant carbon emissions and operational costs. Although training is energy-intensive, the long-term environmental burden arises from inference,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-05 Kolichala Rajashekar , Nafiseh Sharghivand , Radu Prodan , Reza Farahani

This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency,…

The accelerating expansion of AI workloads is colliding with an energy landscape increasingly dominated by intermittent renewable generation. While vast quantities of zero-carbon energy are routinely curtailed, today's centralized…

Networking and Internet Architecture · Computer Science 2026-05-29 Giuseppe Tomei , Andrea Mayer , Giuseppe Alcini , Stefano Salsano

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

In this paper, a re-evaluation undertaken for dynamic VM consolidation problem and optimal online deterministic algorithms for the single VM migration in an experimental environment. We proceeded to focus on energy and performance trade-off…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-18 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

The integration of more renewable energy sources into the power system is presenting system operators with various challenges. At the distribution system level, voltage magnitudes that violate operating limits near large photovoltaic…

Optimization and Control · Mathematics 2022-01-05 Sandro Merkli , Roy S. Smith