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Cloud computing providers are now offering their unused resources for leasing in the spot market, which has been considered the first step towards a full-fledged market economy for computational resources. Spot instances are virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-10-28 William Voorsluys , Rajkumar Buyya

Cloud providers sell their idle capacity on markets through an auction-like mechanism to increase their return on investment. The instances sold in this way are called spot instances. In spite that spot instances are usually 90% cheaper…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-08 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

Public cloud service vendors provide a surplus of computing resources at a cheaper price as a spot instance. Despite the cheaper price, the spot instance can be forced to be shutdown at any moment whenever the surplus resources are in…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-26 Sungjae Lee , Jaeil Hwang , Kyungyong Lee

Infrastructure-as-a-Service providers are offering their unused resources in the form of variable-priced virtual machines (VMs), known as "spot instances", at prices significantly lower than their standard fixed-priced resources. To lease…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-03 William Voorsluys , Saurabh Kumar Garg , Rajkumar Buyya

Cloud computing offers a variable-cost payment scheme that allows cloud customers to specify the price they are willing to pay for renting spot instances to run their applications at much lower costs than fixed payment schemes, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-13 Abdullah Alourani , Ajay D. Kshemkalyani

Cloud vendors offer discounted spot instances to maximize surplus resource utilization, but these instances are subject to the risk of sudden interruption. Traditional pricing datasets have been employed to predict this risk, yet recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-28 Taeyoon Kim , Kyumin Kim , Kyunghwan Kim , Hayoung Kim , Seungwoo Jeong , Moohyun Song , Kyungyong Lee

Distributed graph platforms like Pregel have used vertex- centric programming models to process the growing corpus of graph datasets using commodity clusters. The irregular structure of graphs cause load imbalances across machines operating…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-13 Ravikant Dindokar , Yogesh Simmhan

Spot instances offer significant cost savings of up to 90% over on-demand prices, making them an attractive resource for large-scale computing workloads. However, understanding their availability dynamics is essential for building systems…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-28 Kyumin Kim , Moohyun Song , Taeyoon Kim , Kyungyong Lee

We consider elastic resource provisioning in the cloud, focusing on in-memory key-value stores used as caches. Our goal is to dynamically scale resources to the traffic pattern minimizing the overall cost, which includes not only the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-14 Damiano Carra , Giovanni Neglia , Pietro Michiardi

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

The increasing reliance on dynamic pricing models, such as spot instances, in public cloud environments presents new challenges for workload scheduling and reliability. While these models offer cost advantages, they introduce volatility and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-25 Christoph Goldgruber , Benedikt Pittl , Erich Schikuta

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

Transient cloud servers such as Amazon Spot instances, Google Preemptible VMs, and Azure Low-priority batch VMs, can reduce cloud computing costs by as much as $10\times$, but can be unilaterally preempted by the cloud provider.…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-18 JCS Kadupitiya , Vikram Jadhao , Prateek Sharma

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

The high computational and memory requirements of generative large language models (LLMs) make it challenging to serve them cheaply. This paper aims to reduce the monetary cost for serving LLMs by leveraging preemptible GPU instances on…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-28 Xupeng Miao , Chunan Shi , Jiangfei Duan , Xiaoli Xi , Dahua Lin , Bin Cui , Zhihao Jia

Cloud computing is becoming an almost ubiquitous part of the computing landscape. For many companies today, moving their entire infrastructure and workloads to the cloud reduces complexity, time to deployment, and saves money. Spot…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-30 Nnamdi Ekwe-Ekwe , Adam Barker

Cloud users aim to minimize cost while maximizing performance by selecting the most suitable instance types for their workloads. To reduce expenses, spot instances have been widely adopted due to their steep discounts compared to on-demand…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-28 Taeyoon Kim , Kyumin Kim , Enrique Molina-Giménez , Pedro García-López , Kyungyong Lee

Many businesses possess a small infrastructure that they can use for their computing tasks, but also often buy extra computing resources from clouds. Cloud vendors such as Amazon EC2 offer two types of purchase options: on-demand and spot…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-13 Xiaohu Wu , Patrick Loiseau , Esa Hyytia

Cloud providers have recently introduced new offerings whereby spare computing resources are accessible at discounts compared to on-demand computing. Exploiting such opportunity is challenging inasmuch as such resources are accessed with…

Information Theory · Computer Science 2019-05-28 Yaoqing Yang , Matteo Interlandi , Pulkit Grover , Soummya Kar , Saeed Amizadeh , Markus Weimer

Leading Cloud providers offer several types of Virtual Machines (VMs) in diverse contract models, with different guarantees in terms of availability and reliability. Among them, the most popular contract models are the on-demand and the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-11 Luan Teylo , Luciana Arantes , Pierre Sens , Lúcia Maria de A. Drummond
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