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Quantity and price risks are key uncertainties market participants face in electricity markets with increased volatility, for instance, due to high shares of renewables. From day ahead until real-time, there is a large variation in the best…

Methodology · Statistics 2025-02-21 Paul E. Seifert , Emil Kraft , Steffen Bakker , Stein-Erik Fleten

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the resources dynamically for customers anytime. Drawing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-13 Qiheng Zhou , Minxian Xu , Sukhpal Singh Gill , Chengxi Gao , Wenhong Tian , Chengzhong Xu , Rajkumar Buyya

Nowadays companies are increasingly adopting the technology ofcloud computing. This technology is subject to a lot of research and continuousadvances are made. The use of cloud computing in the companies advantagessuch as: reducing costs,…

Cryptography and Security · Computer Science 2020-01-24 Leila Beldjezzar , Abdelhafid Zitouni , Mahieddine Djoudi , Beldjezzar Leila , Zitouni Abdelhafid , Djoudi Mahieddine

The increase of renewables in the grid and the volatility of the load create uncertainties in the day-ahead prices of electricity markets. Adaptive robust optimization (ARO) and stochastic optimization have been used to make commitment and…

Optimization and Control · Mathematics 2023-09-18 Dimitris Bertsimas , Angelos G. Koulouras

Large-scale AI data center portfolios procure identical SKUs across geographically heterogeneous campuses, yet finance and operations require a single system-level 'world price' per SKU for budgeting and planning. A common practice is…

General Economics · Economics 2026-01-27 Qi He

The in-memory cache system is an important component in a cloud for the data access performance. As the tenants may have different performance goals for data access depending on the nature of their tasks, effectively managing the memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-05 Taejoon Kim , Yu Gu , Jinoh Kim

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

Time-of-use (ToU) pricing is widely used by the electricity utility to shave peak load. Such a pricing scheme provides users with incentives to invest in behind-the-meter energy storage and to shift peak load towards low-price intervals.…

Systems and Control · Electrical Eng. & Systems 2021-12-21 Dongwei Zhao , Hao Wang , Jianwei Huang , Xiaojun Lin

In recent years, cloud computing has been widely used. Cloud computing refers to the centralized computing resources, users through the access to the centralized resources to complete the calculation, the cloud computing center will return…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-28 Yifan Zhang , Bo Liu , Yulu Gong , Jiaxin Huang , Jingyu Xu , Weixiang Wan

The amalgamation of Internet of Things and the smart grid enables the energy optimal scheduling of appliances based on user needs and dynamic energy prices. Additionally, progress in local storage technology calls for exploiting additional…

Systems and Control · Electrical Eng. & Systems 2022-11-17 Brian Setz , Kawsar Haghshenas , Marco Aiello

Cloud providers offer a variety of execution platforms in form of bare-metal, VM, and containers. However, due to the pros and cons of each execution platform, choosing the appropriate platform for a specific cloud-based application has…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Davood Ghatreh Samani , Chavit Denninnart , Josef Bacik , Mohsen Amini Salehi

Cloud computing services provide scalable and cost-effective solutions for data storage, processing, and collaboration. With their growing popularity, concerns about security vulnerabilities are increasing. To address this, first, we…

Cryptography and Security · Computer Science 2024-12-25 Mikhail Kazdagli , Mohit Tiwari , Akshat Kumar

Cloud computing is a particular implementation of distributed computing. It inherited many properties of distributed computing such as scalability, reliability and distribution transparency. The transparency middle layer abstracts the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-11 Bola Abimbola

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Joseph Doyle , Vasileios Giotsas , Mohammad Ashraful Anam , Yiannis Andreopoulos

Multi-cloud computing has become increasingly popular with enterprises looking to avoid vendor lock-in. While most cloud providers offer similar functionality, they may differ significantly in terms of performance and/or cost. A customer…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-21 Małgorzata Łazuka , Thomas Parnell , Andreea Anghel , Haralampos Pozidis

This paper studies a setting in which multiple suppliers compete for a buyer's procurement business. The buyer faces uncertain demand and there is a requirement to reserve capacity in advance of knowing the demand. Each supplier has costs…

Computer Science and Game Theory · Computer Science 2019-05-28 Edward Anderson , Bo Chen , Lusheng Shao

In Cloud Computing, the resource provisioning approach used has a great impact on the processing cost, especially when it is used for Big Data processing. Due to data variety, the performance of virtual machines (VM) may differ based on the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-12 Hossein Ahmadvand , Fouzhan Foroutan

Cloud benchmarks suffer from performance fluctuations caused by resource contention, network latency, hardware heterogeneity, and other factors along with decisions taken in the benchmark design. In particular, the sampling strategy of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-24 Saman Akbari , Manfred Hauswirth

Cloud computing is an emerging computing model where IT and computing operations are delivered as services in highly scalable and cost effective manner. Recently, embarking this new model in business has become popular. Companies in diverse…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-22 Jafar Shayan , Ahmad Azarnik , Suriayati Chuprat , Sasan Karamizadeh , Mojtaba Alizadeh

The pay-as-you-go model supported by existing cloud infrastructure providers is appealing to most application service providers to deliver their applications in the cloud. Within this context, elasticity of applications has become one of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-17 Rui Han
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