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Cloud providers offer a variety of execution platforms in form of bare-metal, VM, and containers. However, due to the pros and cons of each execution platform, choosing the appropriate platform for a specific cloud-based application has…

分布式、并行与集群计算 · 计算机科学 2020-06-04 Davood Ghatreh Samani , Chavit Denninnart , Josef Bacik , Mohsen Amini Salehi

Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers and commercial cloud systems. This has led to changes in…

Cloud computing has been widely adopted due to the flexibility in resource provisioning and on-demand pricing models. Entire clusters of Virtual Machines (VMs) can be dynamically provisioned to meet the computational demands of users.…

分布式、并行与集群计算 · 计算机科学 2017-11-27 Long Thai , Blesson Varghese , Adam Barker

Design and architecture of cloud storage system plays a vital role in cloud computing infrastructure in order to improve the storage capacity as well as cost effectiveness. Usually cloud storage system provides users to efficient storage…

分布式、并行与集群计算 · 计算机科学 2011-12-12 Tin Tin Yee , Thinn Thu Naing

Research progress in quantum computing has, thus far, focused on a narrow set of application domains. Expanding the suite of quantum application domains is vital for the discovery of new software toolchains and architectural abstractions.…

Cloud computing provisions computer resources at a cost-effective way based on demand. Therefore it has become a viable solution for big data analytics and artificial intelligence which have been widely adopted in various domain science.…

分布式、并行与集群计算 · 计算机科学 2023-05-30 Naweiluo Zhou , Florent Dufour , Vinzent Bode , Peter Zinterhof , Nicolay J Hammer , Dieter Kranzlmüller

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…

分布式、并行与集群计算 · 计算机科学 2018-12-18 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Today's computing systems require moving data back-and-forth between computing resources (e.g., CPUs, GPUs, accelerators) and off-chip main memory so that computation can take place on the data. Unfortunately, this data movement is a major…

硬件体系结构 · 计算机科学 2022-05-31 Geraldo F. Oliveira , Amirali Boroumand , Saugata Ghose , Juan Gómez-Luna , Onur Mutlu

With the increasing popularity of cloud computing, datacenters are becoming more important than ever before. A typical datacenter typically consists of a large number of homogeneous or heterogeneous servers connected by networks.…

分布式、并行与集群计算 · 计算机科学 2014-05-15 Aftab Ahmed Chandio , Zhibin Yu , Feroz Shah Syed , Imtiaz Ali Korejo

As the next generation of diverse workloads like autonomous driving and augmented/virtual reality evolves, computation is shifting from cloud-based services to the edge, leading to the emergence of a cloud-edge compute continuum. This…

分布式、并行与集群计算 · 计算机科学 2023-03-03 Matthijs Jansen , Auday Al-Dulaimy , Alessandro V. Papadopoulos , Animesh Trivedi , Alexandru Iosup

The rapid technological advances in the Internet of Things (IoT) allows the blueprint of Smart Cities to become feasible by integrating heterogeneous cloud/fog/edge computing paradigms to collaboratively provide variant smart services in…

分布式、并行与集群计算 · 计算机科学 2020-04-07 Qian Qu , Ronghua Xu , Seyed Yahya Nikouei , Yu Chen

Recent trends of technology have explored a numerous applications of cloud services, which require a significant amount of energy. In the present scenario, most of the energy sources are limited and have a greenhouse effect on the…

分布式、并行与集群计算 · 计算机科学 2025-12-15 Sohan Kumar Pande , Sanjaya Kumar Panda , Preeti Ranjan Sahu

With the rapid growth and increasing complexity of industrial big data, traditional data processing methods are facing many challenges. This article takes an in-depth look at the application of cloud computing technology in industrial big…

分布式、并行与集群计算 · 计算机科学 2024-07-16 Ziyan Yao

To meet the increasing demand for cloud computing services, the scale and number of data centers keeps increasing worldwide. This growth comes at the cost of increased electricity consumption, which directly correlates to CO2 emissions, the…

分布式、并行与集群计算 · 计算机科学 2025-09-18 Matteo Zanotto , Leonardo Vicentini , Redi Vreto , Francesco Lumpp , Diego Braga , Sandro Fiore

Containers are standalone, self-contained units that package software and its dependencies together. They offer lightweight performance isolation, fast and flexible deployment, and fine-grained resource sharing. They have gained popularity…

分布式、并行与集群计算 · 计算机科学 2018-12-04 Maria A. Rodriguez , Rajkumar Buyya

Serverless computing is gaining traction as an attractive model for the deployment of a multitude of workloads in the cloud. Designing and building effective resource management solutions for any computing environment requires extensive…

分布式、并行与集群计算 · 计算机科学 2023-09-20 Anupama Mampage , Rajkumar Buyya

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates…

分布式、并行与集群计算 · 计算机科学 2012-02-27 Zaheer Khan , David Ludlow , Richard McClatchey , Ashiq Anjum

The Cloud Computing paradigm consists in providing customers with virtual services of the quality which meets customers' requirements. A cloud service operator is interested in using his infrastructure in the most efficient way while…

数据结构与算法 · 计算机科学 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

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…

分布式、并行与集群计算 · 计算机科学 2010-10-26 Mikael Fernandus Simalango , Mun-Young Kang , Sangyoon Oh

Internet of Things (IoT) aims to bring every object (e.g. smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive amounts of data that can overwhelm storage systems and data analytics…

分布式、并行与集群计算 · 计算机科学 2016-06-08 Harshit Gupta , Amir Vahid Dastjerdi , Soumya K. Ghosh , Rajkumar Buyya