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Cloud providers offer end-users various pricing schemes to allow them to tailor VMs to their needs, e.g., a pay-as-you-go billing scheme, called \textit{on-demand}, and a discounted contract scheme, called \textit{reserved instances}. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-15 Chalee Boonprasop , Yuhui Lin , Adam Barker

This paper explores a prevailing trend in the industry: migrating data-intensive analytics applications from on-premises to cloud-native environments. We find that the unique cost models associated with cloud-based storage necessitate a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-02 Chunxu Tang , Yi Wang , Bin Fan , Beinan Wang , Shouwei Chen , Ziyue Qiu , Chen Liang , Jing Zhao , Yu Zhu , Mingmin Chen , Zhongting Hu

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-22 Abdulaziz Alashaikh , Eisa Alanazi , Ala Al-Fuqaha

Cloud computing revolutionised the industry with its elastic, on-demand approach to computational resources, but has lead to a tremendous impact on the environment. Data centers constitute 1.1-1.5% of total electricity usage in the world.…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-22 Dražen Lučanin , Ivona Brandić

We advocate to create a \emph{spot} Internet transit market, where transit is sold using the under-utilized backbone capacity at a lower price. The providers can improve profit by capitalizing the perishable capacity, and customers can buy…

Networking and Internet Architecture · Computer Science 2013-09-26 Hong Xu , Baochun Li

Cloud services are becoming increasingly popular: 60\% of information technology spending in 2016 was Cloud-based, and the size of the public Cloud service market will reach \$236B by 2020. To ensure reliable operation of the Cloud…

Software Engineering · Computer Science 2018-06-18 William Pourmajidi , John Steinbacher , Tony Erwin , Andriy Miranskyy

Jumps and market microstructure noise are stylized features of high-frequency financial data. It is well known that they introduce bias in the estimation of volatility (including integrated and spot volatilities) of assets, and many methods…

Econometrics · Economics 2023-02-20 Qiang Liu , Zhi Liu

Distributed Deep Learning (DDL), as a paradigm, dictates the use of GPU-based clusters as the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However, the high cost of such resources makes them inaccessible to…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-15 Yoochan Kim , Kihyun Kim , Yonghyeon Cho , Jinwoo Kim , Awais Khan , Ki-Dong Kang , Baik-Song An , Myung-Hoon Cha , Hong-Yeon Kim , Youngjae Kim

In late 2009, Amazon introduced spot instances to offer their unused resources at lower cost with reduced reliability. Amazon's spot instances allow customers to bid on unused Amazon EC2 capacity and run those instances for as long as their…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-11-07 Sunirmal Khatua , Nandini Mukherjee

Serverless computing platforms currently rely on basic pricing schemes that are static and do not reflect customer feedback. This leads to significant inefficiencies from a total utility perspective. As one of the fastest-growing cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-26 Vipul Gupta , Soham Phade , Thomas Courtade , Kannan Ramchandran

Cost optimization is a common goal of workflow schedulers operating in cloud computing environments. The use of spot instances is a potential means of achieving this goal, as they are offered by cloud providers at discounted prices compared…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-07 Amanda Jayanetti , Saman Halgamuge , Rajkumar Buyya

Cloud users can significantly reduce their cost (by up to 60\%) by reserving virtual machines (VMs) for long periods (1 or 3 years) rather than acquiring them on demand. Unfortunately, reserving VMs exposes users to \emph{demand risk} that…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-26 Pradeep Ambati , David Irwin , Prashant Shenoy

As a cost-effective option for Cloud consumers, spot service has been considered to be a significant supplement for building a full-fledged market economy for the Cloud ecosystem. However, unlike the static and straightforward way of…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-07 Zheng Li , Maria Kihl , Anders Robertsson

Public cloud services are integral to modern software development, offering scalability and flexibility to organizations. Based on customer requests, a large product development organization considered migrating the microservice-based…

Software Engineering · Computer Science 2025-09-03 Anders Sundelin , Javier Gonzalez-Huerta , Krzysztof Wnuk

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

Virtual machine (VM) scheduling is an important technique to efficiently operate the computing resources in a data center. Previous work has mainly focused on consolidating VMs to improve resource utilization and thus to optimize energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-22 Xibo Jin , Fa Zhang , Lin Wang , Songlin Hu , Biyu Zhou , Zhiyong Liu

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-11 Jammily Ortigoza , Fabio Lopez-Pires , Benjamın Baran

Spot instances offer a cost-effective solution for applications running in the cloud computing environment. However, it is challenging to run long-running jobs on spot instances because they are subject to unpredictable evictions. Here, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-07 Ashley Tung , Haiyan Wang , Yue Li , Zhong Wang , Jingchao Sun

Spot instances are virtual machines offered at 60-90% lower cost that can be reclaimed at any time, with only a short warning period. Spot instances have already been used to significantly reduce the cost of processing workloads in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-24 Malte Brodmann , Nikolas Ioannou , Bernard Metzler , Jonas Pfefferle , Ana Klimovic

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-25 Luan Teylo , Lúcia Maria de A. Drummond , Luciana Arantes , Pierre Sens