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Modern processors are increasingly featuring multiple cores, as well as support for hardware virtualization. While these processors are common in desktop and server-class computing, they are less prevalent in embedded and real-time systems.…

Operating Systems · Computer Science 2013-10-25 Richard West , Ye Li , Eric Missimer

Server consolidation based on virtualization technology simplifies system administration and improves energy efficiency by improving resource utilizations and reducing the physical machine (PM) number in contemporary service-oriented data…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-04-29 Bo Wang , Ying Song , Yuzhong Sun , Jun Liu

Modern HPC workload managers and their careful tuning contribute to the high utilization of HPC clusters. However, due to inevitable uncertainty it is impossible to completely avoid node idleness. Although such idle slots are usually too…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-03 Bartłomiej Przybylski , Maciej Pawlik , Paweł Żuk , Bartłomiej Łagosz , Maciej Malawski , Krzysztof Rzadca

Motivated by current trends in cloud computing, we study a version of the generalized assignment problem where a set of virtual processors has to be implemented by a set of identical processors. For literature consistency, we say that a set…

Data Structures and Algorithms · Computer Science 2014-06-11 Jordi Arjona Aroca , Antonio Fernandez Anta , Miguel A. Mosteiro , Christopher Thraves , Lin Wang

In this study, a cluster-computing environment is employed as a computational platform. In order to increase the efficiency of the system, a dynamic task scheduling algorithm is proposed, which balances the load among the nodes of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-22 I. K. Savvas , M. Tahar Kechadi

Recent years have witnessed a rapid growth of distributed machine learning (ML) frameworks, which exploit the massive parallelism of computing clusters to expedite ML training. However, the proliferation of distributed ML frameworks also…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-16 Menglu Yu , Jia Liu , Chuan Wu , Bo Ji , Elizabeth S. Bentley

As artificial intelligence (AI) and machine learning (ML) technologies disrupt a wide range of industries, cloud datacenters face ever-increasing demand in inference workloads. However, conventional CPU-based servers cannot handle excessive…

Hardware Architecture · Computer Science 2022-06-08 Jung-Hoon Kim , Sungyeob Yoo , Seungjae Moon , Joo-Young Kim

Modern database clusters entail two levels of networks: connecting CPUs and NUMA regions inside a single server in the small and multiple servers in the large. The huge performance gap between these two types of networks used to slow down…

Databases · Computer Science 2015-11-03 Wolf Roediger , Tobias Muehlbauer , Alfons Kemper , Thomas Neumann

Future servers will incorporate many active lowpower modes for different system components, such as cores and memory. Though these modes provide flexibility for power management via Dynamic Voltage and Frequency Scaling (DVFS), they must be…

Performance · Computer Science 2016-03-07 Yanpei Liu , Guilherme Cox , Qingyuan Deng , Stark C. Draper , Ricardo Bianchini

Vector databases have rapidly grown in popularity, enabling efficient similarity search over data such as text, images, and video. They now play a central role in modern AI workflows, aiding large language models by grounding model outputs…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-17 Seth Ockerman , Amal Gueroudji , Song Young Oh , Robert Underwood , Nicholas Chia , Kyle Chard , Robert Ross , Shivaram Venkataraman

Memory has become the primary cost driver in cloud data centers. Yet, a significant portion of memory allocated to VMs in public clouds remains unused. To optimize this resource, "cold" memory can be reclaimed from VMs and stored on slower…

With the rapid growth in computing power demand, cloud native networks have emerged as a promising solution to address the challenges of efficient resource coordination, particularly in coping with the dynamic fluctuations of network…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-11 Hao Jiang , Meng Qin , Ruijie Kuai , Dandan Liang , Yue Gao

The latest trends in high-performance computing systems show an increasing demand on the use of a large scale multicore systems in a efficient way, so that high compute-intensive applications can be executed reasonably well. However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-25 Juliana M. N. Silva , Cristina Boeres , Lúcia M. A. Drummond , Artur A. Pessoa

High availability has always been one of the main problems for a data center. Till now high availability was achieved by host per host redundancy, a highly expensive method in terms of hardware and human costs. A new approach to the problem…

Systems and Control · Computer Science 2012-05-03 Federico Calzolari , Silvia Arezzini , Alberto Ciampa , Enrico Mazzoni , Andrea Domenici , Gigliola Vaglini

Recent High-Performance Computing (HPC) systems are facing important challenges, such as massive power consumption, while at the same time significantly under-utilized system resources. Given the power consumption trends, future systems…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-08 Eishi Arima , Isaías A. Comprés , Martin Schulz

Future Exascale systems will feature massive parallelism, many-core processors and heterogeneous architectures. In this scenario, it is increasingly difficult for HPC applications to fully and efficiently utilize the resources in system…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-25 David Álvarez , Kevin Sala , Vicenç Beltran

The recent advances in virtualization technology have enabled the sharing of computing and networking resources of cloud data centers among multiple users. Virtual Network Embedding (VNE) is highly important and is an integral part of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-05 Hiren Kumar Thakkar , Chinmaya Kumar Dehury , Prasan Kumar Sahoo

Hardware accelerators, such as those based on GPUs and FPGAs, offer an excellent opportunity to efficiently parallelize functionalities. Recently, modern embedded platforms started being equipped with such accelerators, resulting in a…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-16 Daniel Casini , Paolo Pazzaglia , Alessandro Biondi , Marco Di Natale

Network Functions Virtualization, or NFV, enables telecommunications infrastructure providers to replace special-purpose networking equipment with commodity servers running virtualized network functions (VNFs). A service provider utilizing…

Networking and Internet Architecture · Computer Science 2016-06-13 Freddy C. Chua , Julie Ward , Ying Zhang , Puneet Sharma , Bernardo A. Huberman

Many existing scientific workflows require High Performance Computing environments to produce results in a timely manner. These workflows have several software library components and use different environments, making the deployment and…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-26 Liliane Kunstmann , Débora Pina , Daniel de Oliveira , Marta Mattoso
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