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Related papers: Flexible Swapping for the Cloud

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Cloud services have grown rapidly in recent years, which provide high flexibility for cloud users to fulfill their computing requirements on demand. To wisely allocate computing resources in the cloud, it is inevitably important for cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-13 Shengwei Chen , Yanyan Shen , Yanmin Zhu

The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure. Virtualization technologies enable users to acquire,…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-08 Minxian Xu , Wenhong Tian , Rajkumar Buyya

Clouds inherit CPU scheduling policies of operating systems. These policies enforce fairness while leveraging best-effort mechanisms to enhance responsiveness of all schedulable entities, irrespective of their service level objectives…

Operating Systems · Computer Science 2020-09-22 Esmail Asyabi , Azer Bestavros , Renato Mancuso , Richard West , Erfan Sharafzadeh

In Covid-19 pandemic, the number of users connecting to the Internet using mobile devices increased. People are doing there every task using mobile phones [16]. These devices are battery-powered and have limited computation capabilities.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-07 Arsalan Liaqat , Saqib Ilyas , Ghazala Mushtaq

Datacenter designers rely on conservative estimates of IT equipment power draw to provision resources. This leaves resources underutilized and requires more datacenters to be built. Prior work has used power capping to shave the rare power…

Cloud computing has become the backbone of the computing industry and offers subscription-based on-demand services. Through virtualization, which produces a virtual instance of a computer system running in an abstracted hardware layer, it…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-19 Sakshi Chhabra , Ashutosh Kumar Singh

Cloud platforms offer the same VMs under many purchasing options that specify different costs and time commitments, such as on-demand, reserved, sustained-use, scheduled reserve, transient, and spot block. In general, the stronger the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-10 Pradeep Ambati , Noman Bashir , David Irwin , Mohammad Hajiesmaili , Prashant Shenoy

Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-12 William Voorsluys , James Broberg , Srikumar Venugopal , Rajkumar Buyya

We demonstrate that general-purpose memory allocation involving many threads on many cores can be done with high performance, multicore scalability, and low memory consumption. For this purpose, we have designed and implemented scalloc, a…

Programming Languages · Computer Science 2015-08-26 Martin Aigner , Christoph M. Kirsch , Michael Lippautz , Ana Sokolova

Cloud stacks must isolate application components, while permitting efficient data sharing between components deployed on the same physical host. Traditionally, the MMU enforces isolation and permits sharing at page granularity. MMU…

Operating Systems · Computer Science 2022-06-27 Vasily A. Sartakov , Lluís Vilanova , David Eyers , Takahiro Shinagawa , Peter Pietzuch

Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Operating systems (OS) play an important role in enabling the…

Operating Systems · Computer Science 2023-10-06 Shivank Garg , Aravinda Prasad , Debadatta Mishra , Sreenivas Subramoney

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park

Cloud Computing has established itself as an efficient and cost-effective paradigm for the execution of web-based applications, and scientific workloads, that need elasticity and on-demand scalability capabilities. However, the evaluation…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-22 Remo Andreoli , Jie Zhao , Tommaso Cucinotta , Rajkumar Buyya

Serverless computing relies on extreme multi-tenancy to remain economically viable, driving providers to rely on virtual machines (VMs) that ensure strong isolation and seamless ecosystem compatibility with the FaaS programming model.…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-17 JooYoung Park , Kevin Nguetchouang , Jovan Stojkovic , Likun Zhang , Riccardo Mancini , Marco Cali , Dmitrii Ustiugov

Leadership supercomputers feature a diversity of storage, from node-local persistent memory and NVMe SSDs to network-interconnected flash memory and HDD. Memory mapping files on different tiers of storage provides a uniform interface in…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-18 Ivy B. Peng , Marty McFadden , Eric Green , Keita Iwabuchi , Kai Wu , Dong Li , Roger Pearce , Maya Gokhale

Businesses have made increasing adoption and incorporation of cloud technology into internal processes in the last decade. The cloud-based deployment provides on-demand availability without active management. More recently, the concept of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-01 Ying Mao , Yuqi Fu , Suwen Gu , Wenrui Mu , Long Cheng , Qingzhi Liu

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…

Data Structures and Algorithms · Computer Science 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

Cloud platforms are increasingly relied upon to host diverse, resource-intensive workloads due to their scalability, flexibility, and cost-efficiency. In multi-tenant cloud environments, virtual machines are consolidated on shared physical…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-26 Amirhossein Shahbazinia , Darong Huang , Luis Costero , David Atienza

The cloud computing industry has grown rapidly over the last decade, and with this growth there is a significant increase in demand for compute resources. Demand is manifested in the form of Virtual Machine (VM) requests, which need to be…

Data Structures and Algorithms · Computer Science 2020-11-13 Niv Buchbinder , Yaron Fairstein , Konstantina Mellou , Ishai Menache , Joseph , Naor

The Big Memory solution is a new computing paradigm facilitated by commodity server platforms that are available today. It exposes a large RAM subsystem to the Operating System and therefore affords application programmers a number of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-26 Po Hao Chen , Kurt Keville
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