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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…

分布式、并行与集群计算 · 计算机科学 2009-10-12 Federico Calzolari

Load balancing is vital for the efficient and long-term operation of cloud data centers. With virtualization, post (reactive) migration of virtual machines after allocation is the traditional way for load balancing and consolidation.…

分布式、并行与集群计算 · 计算机科学 2021-10-20 Wenhong Tian , Minxian Xu , Guangyao Zhou , Kui Wu , Chengzhong Xu , Rajkumar Buyya

Computation-as-a-Service (CaaS) offerings have gained traction in the last few years due to their effectiveness in balancing between the scalability of Software-as-a-Service and the customisation possibilities of Infrastructure-as-a-Service…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Joseph Doyle , Vasileios Giotsas , Mohammad Ashraful Anam , Yiannis Andreopoulos

We present Memtrade, the first memory disaggregation system for public clouds. Public clouds introduce a set of unique challenges for resource disaggregation across different tenants, including security, isolation and pricing. Memtrade…

分布式、并行与集群计算 · 计算机科学 2021-08-17 Hasan Al Maruf , Yuhong Zhong , Hongyi Wang , Mosharaf Chowdhury , Asaf Cidon , Carl Waldspurger

Cloud computing is becoming an essential component of modern computer and communication systems. The available resources at the cloud such as computing nodes, storage, databases, etc. are often packaged in the form of virtual machines (VMs)…

分布式、并行与集群计算 · 计算机科学 2019-12-03 Muhammad Junaid Farooq , Quanyan Zhu

With the rapid development of virtualization techniques, cloud data centers allow for cost effective, flexible, and customizable deployments of applications on virtualized infrastructure. Virtual machine (VM) placement aims to assign each…

分布式、并行与集群计算 · 计算机科学 2020-01-22 Abdulaziz Alashaikh , Eisa Alanazi , Ala Al-Fuqaha

VM startup time is an essential factor in designing elastic cloud applications. For example, a cloud application with autoscaling can reduce under- and over-provisioning of VM instances with a precise estimation of VM startup time, and in…

分布式、并行与集群计算 · 计算机科学 2021-07-09 Jianwei Hao , Ting Jiang , Wei Wang , In Kee Kim

Public clouds increasingly expose heterogeneous hardware, but their allocation interface remains built around rigid on-demand and spot service classes. This makes it hard to satisfy time-varying tenant objectives and operator constraints in…

分布式、并行与集群计算 · 计算机科学 2026-04-27 Tejas Harith , Antoine Kaufmann

Traditional memory management suffers from metadata overhead, architectural complexity, and stability degradation, problems intensified in cloud environments. Existing software/hardware optimizations are insufficient for cloud computing's…

We present a practical, market-based solution to the resource provisioning problem in a set of heterogeneous resource clusters. We focus on provisioning rather than immediate scheduling decisions to allow users to change long-term job…

分布式、并行与集群计算 · 计算机科学 2025-03-25 Murray Stokely , Jim Winget , Ed Keyes , Carrie Grimes , Benjamin Yolken

Currently, many businesses are using cloud computing to obtain an entire IT infrastructure remotely while delegating its management to a third party. The provider of this architecture ensures the operation and maintenance of the services…

分布式、并行与集群计算 · 计算机科学 2020-07-20 Oussama Smimite , Karim Afdel

Cloud platforms have emerged as a prominent environment to execute high performance computing (HPC) applications providing on-demand resources as well as scalability. They usually offer different classes of Virtual Machines (VMs) which…

分布式、并行与集群计算 · 计算机科学 2018-10-25 Luan Teylo , Lúcia Maria de A. Drummond , Luciana Arantes , Pierre Sens

Massive upsurge in cloud resource usage stave off service availability resulting into outages, resource contention, and excessive power-consumption. The existing approaches have addressed this challenge by providing multi-cloud, VM…

分布式、并行与集群计算 · 计算机科学 2022-11-30 Deepika Saxena , Ashutosh Kumar Singh

Efficient resource allocation is one of the critical performance challenges in an Infrastructure as a Service (IaaS) cloud. Virtual machine (VM) placement and migration decision making methods are integral parts of these resource allocation…

分布式、并行与集群计算 · 计算机科学 2012-12-04 Gaurav Somani , Prateek Khandelwal , Kapil Phatnani

Transient computing has become popular in public cloud environments for running delay-insensitive batch and data processing applications at low cost. Since transient cloud servers can be revoked at any time by the cloud provider, they are…

分布式、并行与集群计算 · 计算机科学 2020-06-02 Alexander Fuerst , Ahmed Ali-Eldin , Prashant Shenoy , Prateek Sharma

Optimal resource utilization for executing tasks within the cloud is one of the biggest challenges. In executing the task over a cloud, the resource provisioner is responsible for providing the resources to create virtual machines. To…

分布式、并行与集群计算 · 计算机科学 2012-07-12 Gaurav Raj , Ankit Nischal

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…

系统与控制 · 计算机科学 2012-05-03 Federico Calzolari , Silvia Arezzini , Alberto Ciampa , Enrico Mazzoni , Andrea Domenici , Gigliola Vaglini

Over a past few decades, VM's or Virtual machines have sort of gained a lot of momentum, especially for large scale enterprises where the need for resource optimization & power save is humongous, without compromising with performance or…

其他计算机科学 · 计算机科学 2010-06-15 Rohit Kewlani

In current cloud computing systems, when leveraging virtualization technology, the customer's requested data computing or storing service is accommodated by a set of communicated virtual machines (VM) in a scalable and elastic manner. These…

数据结构与算法 · 计算机科学 2017-05-01 Song Yang , Philipp Wieder , Ramin Yahyapour , Stojan Trajanovski , Xiaoming Fu

Cloud computing has become a pivotal platform for executing scientific workflows due to its scalable and cost-effective infrastructure. Scientific Cloud Service Providers (SCSPs) act as intermediaries that rent virtual machines (VMs) from…

分布式、并行与集群计算 · 计算机科学 2025-05-01 Suvarthi Sarkar , Sparsh Mittal , Shivam Garg , Aryabartta Sahu