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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

Premier cloud service providers (CSPs) offer two types of purchase options, namely on-demand and spot instances, with time-varying features in availability and price. Users like startups have to operate on a limited budget and similarly…

Performance · Computer Science 2021-06-04 Xiaohu Wu , Han Yu , Giuliano Casale , Guanyu Gao

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

In Amazon EC2, cloud resources are sold through a combination of an on-demand market, in which customers buy resources at a fixed price, and a spot market, in which customers bid for an uncertain supply of excess resources. Standard market…

Computer Science and Game Theory · Computer Science 2016-12-20 Darrell Hoy , Nicole Immorlica , Brendan Lucier

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 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

As foundation models grow in size, fine-tuning them becomes increasingly expensive. While GPU spot instances offer a low-cost alternative to on-demand resources, their volatile prices and availability make deadline-aware scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-25 Linggao Kong , Yuedong Xu , Lei Jiao , Chuan Xu

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

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

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

This paper addresses the challenge of deadline-aware online scheduling for jobs in hybrid cloud environments, where jobs may run on either cost-effective but unreliable spot instances or more expensive on-demand instances, under hard…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-22 Neelkamal Bhuyan , Randeep Bhatia , Murali Kodialam , TV Lakshman

Cloud computing delivers value to users by facilitating their access to computing capacity in periods when their need arises. An approach is to provide both on-demand and spot services on shared servers. The former allows users to access…

Performance · Computer Science 2019-09-04 Xiaohu Wu , Francesco De Pellegrini , Guanyu Gao , Giuliano Casale

We study the problem of scheduling delay-sensitive jobs over spot and on-demand cloud instances to minimize average cost while meeting an average delay constraint. Jobs arrive as a general stochastic process, and incur different costs based…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Neelkamal Bhuyan , Randeep Bhatia , Murali Kodialam , TV Lakshman

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

We consider a seller who offers services to a buyer with multi-unit demand. Prior to the realization of demand, the buyer receives a noisy signal of their future demand, and the seller can design contracts based on the reported value of…

Theoretical Economics · Economics 2025-02-13 Dirk Bergemann , Michael C. Wang

We consider an online preemptive scheduling problem where jobs with deadlines arrive sporadically. A commitment requirement is imposed such that the scheduler has to either accept or decline a job immediately upon arrival. The scheduler's…

Data Structures and Algorithms · Computer Science 2011-10-07 Shiyao Chen , Lang Tong , Ting He

Motivated by applications where a system must remain operational via continual procurement of contracts, we study two online contract selection problems under uncertain prices. At each time step, a price drawn from a known distribution is…

Computer Science and Game Theory · Computer Science 2026-05-19 Qinge Chi , Sebastian Perez-Salazar

We propose a game theoretic framework for task allocation in mobile cloud computing that corresponds to offloading of compute tasks to a group of nearby mobile devices. Specifically, in our framework, a distributor node holds a…

Networking and Internet Architecture · Computer Science 2016-08-31 Mojgan Khaledi , Mehrdad khaledi , Sneha Kumar Kasera

Infrastructure-as-a-Service (IaaS) clouds offer diverse instance purchasing options. A user can either run instances on demand and pay only for what it uses, or it can prepay to reserve instances for a long period, during which a usage…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-05-27 Wei Wang , Baochun Li , Ben Liang

Cloud service platforms increasingly rely on elastic infrastructures to support dynamic workloads. Spot instances provide discounted computing resources but introduce uncertainty due to dynamic pricing, resource availability, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-22 Javier Fabra , Enrique Molina-Giménez , Pedro García-López
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