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The drive towards exascale computing is opening an enormous opportunity for more realistic and precise simulations of natural phenomena. The process of simulation, however, involves not only the numerical computation of predictions but also…

分布式、并行与集群计算 · 计算机科学 2018-05-21 Allan Santos , Hermano Lustosa , Fabio Porto , Bruno Schulze

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…

分布式、并行与集群计算 · 计算机科学 2015-03-19 Dmytro Dyachuk , Michele Mazzucco

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer…

分布式、并行与集群计算 · 计算机科学 2022-12-13 Sakshi Chhabra , Ashutosh Kumar Singh

Service-oriented workflows are typically executed using a centralised orchestration approach that presents significant scalability challenges. These challenges include the consumption of network bandwidth, degradation of performance, and…

分布式、并行与集群计算 · 计算机科学 2013-11-11 Ward Jaradat , Alan Dearle , Adam Barker

Offloading computationally intensive tasks from mobile users (MUs) to a virtualized environment such as containers on a nearby edge server, can significantly reduce processing time and hence end-to-end (E2E) delay. However, when users are…

网络与互联网体系结构 · 计算机科学 2020-09-15 Mao V. Ngo , Tie Luo , Hieu T. Hoang , Tony Q. S. Quek

Fog computing offloads latency critical application services running on the Cloud in close proximity to end-user devices onto resources located at the edge of the network. The research in this paper is motivated towards characterising and…

分布式、并行与集群计算 · 计算机科学 2019-09-12 Ayesha Abdul Majeed , Peter Kilpatrick , Ivor Spence , Blesson Varghese

Serverless is an emerging cloud computing paradigm that facilitates developers to focus solely on the application logic rather than provisioning and managing the underlying infrastructure. The inherent characteristics such as scalability,…

软件工程 · 计算机科学 2023-11-23 Muhammad Hamza , Muhammad Azeem Akbar , Kari Smolander

This paper investigates the opportunities and limitations of adaptive virtual machine (VM) migration to reduce communication costs in a virtualized environment. We introduce a new formal model for the problem of online VM migration in two…

分布式、并行与集群计算 · 计算机科学 2013-09-24 Chen Avin , Omer Dunay , Stefan Schmid

In this report we demonstrate the potential utility of resource allocation management systems that use virtual machine technology for sharing parallel computing resources among competing jobs. We formalize the resource allocation problem…

分布式、并行与集群计算 · 计算机科学 2010-06-29 Mark Stillwell , David Schanzenbach , Frédéric Vivien , Henri Casanova

The under exploitation of the available resources risks to be one of the main problems for a computing center. The growing demand of computational power necessarily entails more complex approaches in the management of the computing…

分布式、并行与集群计算 · 计算机科学 2012-05-01 Federico Calzolari , Silvia Volpe

As modern Coarse Grain Reconfigurable Arrays (CGRAs) grow in size, efficient utilization of the available fabric by a single application becomes increasingly difficult. Existing CGRA mappers either fail to utilize the available fabric or…

This paper presents a stream-oriented architecture for structuring cluster applications. Clusters that run applications based on this architecture can scale to tenths of thousands of nodes with significantly less performance loss or…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Tassos S. Argyros , David R. Cheriton

Optimizing application performance in today's hardware architecture landscape is an important, but increasingly complex task, often requiring detailed performance analyses. In particular, data movement and reuse play a crucial role in…

软件工程 · 计算机科学 2023-06-29 Philipp Schaad , Tal Ben-Nun , Torsten Hoefler

Transactional cloud applications such as payment, booking, reservation systems, and complex business workflows are currently being rewritten for deployment in the cloud. This migration to the cloud is happening mainly for reasons of cost…

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…

分布式、并行与集群计算 · 计算机科学 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

Many enterprise software systems supporting IT services are characterised by a need for a high computing capability and resource consumption (Armbrust et al. 2010; Buyya et al. 2008; Ko\c{c}ak et al. 2013). Cloud Computing initiatives have…

软件工程 · 计算机科学 2021-09-07 Mahdi Fahmideh , Graham Low , Ghassan Beydoun

With the increasing prevalence of computationally intensive workflows in cloud environments, it has become crucial for cloud platforms to optimize energy consumption while ensuring the feasibility of user workflow schedules with respect to…

分布式、并行与集群计算 · 计算机科学 2025-05-23 Suvarthi Sarkar , Dhanesh V , Ketan Singh , Aryabartta Sahu

The conventional designs of mobile computation offloading fetch user-specific data to the cloud prior to computing, called offline prefetching. However, this approach can potentially result in excessive fetching of large volumes of data and…

信息论 · 计算机科学 2017-02-24 Seung-Woo Ko , Kaibin Huang , Seong-Lyun Kim , Hyukjin Chae

In cloud computing management, the dynamic adaptation of computing resource allocations under time-varying workload is an active domain of investigation. Several control strategies were already proposed. Here the model-free control setting…

分布式、并行与集群计算 · 计算机科学 2018-10-10 Maria Bekcheva , Michel Fliess , Cédric Join , Alireza Moradi , Hugues Mounier

Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed VM may suffer…

分布式、并行与集群计算 · 计算机科学 2015-03-18 Dražen Lučanin , Foued Jrad , Ivona Brandic , Achim Streit