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相关论文: Analysis of cloud storage prices

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Users of cloud computing are overwhelmed with choice, even within the services offered by one provider. As such, many users select cloud services based on description alone. We investigate the degree to which such strategy is optimal. In…

分布式、并行与集群计算 · 计算机科学 2018-02-13 Yehia Elkhatib , Faiza Samreen , Gordon S. Blair

The adoption of market-based principles in resource management systems for computational infrastructures such as grids and clusters allows for matching demand and supply for resources in a utility maximizing manner. As such, they offer a…

计算机科学与博弈论 · 计算机科学 2019-08-14 K. Abdelkader , J. Broeckhove , K. Vanmechelen

The European day-ahead electricity market is split into multiple bidding zones with a uniform price. The increase in renewables leads to a growing number of interventions in the generation of energy sources and increasing redispatch costs.…

综合经济学 · 经济学 2025-01-08 Teodora Dobos , Martin Bichler , Johannes Knörr

Although every individual invented storage technology made a big step towards perfection, none of them is spotless. Different data store essentials such as performance, availability, and recovery requirements have not met together in a…

硬件体系结构 · 计算机科学 2019-04-29 Morteza Hoseinzadeh

We continue the study of two recently introduced bin packing type problems, called bin packing with clustering, and online bin packing with delays. A bin packing input consists of items of sizes not larger than 1, and the goal is to…

数据结构与算法 · 计算机科学 2019-08-20 Leah Epstein

This paper proposes a novel framework to price energy storage in economic dispatch with a social welfare maximization objective. This framework can be utilized by power system operators to generate default bids for storage or to benchmark…

系统与控制 · 电气工程与系统科学 2026-05-08 Ning Qi , Ningkun Zheng , Bolun Xu

Cloud computing is a new computing paradigm which allows sharing of resources on remote server such as hardware, network, storage using internet and provides the way through which application, computing power, computing infrastructure can…

分布式、并行与集群计算 · 计算机科学 2013-08-01 Abu Salim , Rajesh Kumar Tiwari , Sachin Tripathi

Althoughthereislittleempiricalresearchonplatform-specific performance for retail workloads, the digital transformation of the retail industry has accelerated the adoption of cloud-based Point-of-Sale (POS) systems. This paper presents a…

分布式、并行与集群计算 · 计算机科学 2026-05-19 Ravi Teja Pagidoju

The historic trend of Moore's Law, which predicted exponential growth in computational performance per dollar, has diverged for modern Graphics Processing Units (GPUs). While Floating Point Operations per Second (FLOPs) capabilities have…

分布式、并行与集群计算 · 计算机科学 2025-10-08 Ian McDougall , Noah Scott , Joon Huh , Kirthevasan Kandasamy , Karthikeyan Sankaralingam

Pricing is an important issue in mobile edge computing. How to appropriately determine the bid of end user (EU) is an incentive factor for edge cloud (EC) to offer service. In this letter, we propose an equilibrium pricing scheme based on…

计算机科学与博弈论 · 计算机科学 2024-03-15 Hai Xue , Yun Xia , Di Zhang , Honghua Wei , Xiaolong Xu

Cloud services and other shared third-party infrastructures allow individual content providers to easily scale their services based on current resource demands. In this paper, we consider an individual content provider that wants to…

网络与互联网体系结构 · 计算机科学 2018-12-19 Niklas Carlsson , Derek Eager

Recent advances in data analytics have enabled the accurate prediction of user access patterns, giving rise to the idea of packed caching delivering multiple co accessed data items together as a bundle. This improves caching efficiency, as…

分布式、并行与集群计算 · 计算机科学 2025-09-17 Suvarthi Sarkar , Aadarshraj Sah , Poddutoori Sweeya Reddy , Aryabartta Sahu

We present CDStore, which disperses users' backup data across multiple clouds and provides a unified multi-cloud storage solution with reliability, security, and cost-efficiency guarantees. CDStore builds on an augmented secret sharing…

密码学与安全 · 计算机科学 2015-06-01 Mingqiang Li , Chuan Qin , Patrick P. C. Lee

IaaS clouds invest substantial capital in operating their data centers. Reducing the cost of resource provisioning, is their forever pursuing goal. Computing resource trading among multiple IaaS clouds provide a potential for IaaS clouds to…

网络与互联网体系结构 · 计算机科学 2013-12-10 Jian Zhao , Chuan Wu , Zongpeng Li

Efficiently processing medical images, such as whole slide images in digital pathology, is essential for timely diagnosing high-risk diseases. However, this demands advanced computing infrastructure, e.g., GPU servers for deep learning…

分布式、并行与集群计算 · 计算机科学 2024-01-24 Yuandou Wang , Neel Kanwal , Kjersti Engan , Chunming Rong , Paola Grosso , Zhiming Zhao

Increasing amounts of data from varied sources, particularly in the fields of machine learning and graph analytics, are causing storage requirements to grow rapidly. A variety of technologies exist for storing and sharing these data,…

In this article we look at the potential of cloud containers and we provide some guidelines for companies and organisations that are starting to look at how to migrate their legacy infrastructure to something modern, reliable and scalable.…

分布式、并行与集群计算 · 计算机科学 2021-11-04 Damiano Perri , Marco Simonetti , Sergio Tasso , Federico Ragni , Osvaldo Gervasi

Energy storage is expected to play an increasingly important role in mitigating variations that come along with the growing penetration of renewable energy. In this paper, we study the optimal bidding of an energy storage unit in a…

最优化与控制 · 数学 2021-09-29 Yue Chen , Wei Wei , Tongxin Li , Yunhe Hou , Feng Liu , João P. S. Catalão

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…

分布式、并行与集群计算 · 计算机科学 2016-03-08 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

The public cloud offers a myriad of services which allows its tenants to process large scale big data in a flexible, easy and cost effective manner. Tenants generally use large scale data processing frameworks such as MapReduce, Tez, Spark…

分布式、并行与集群计算 · 计算机科学 2020-09-14 Aakash Sharma , Saravanan Dhakshinamurthy , George Kesidis , Chita R. Das