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Related papers: Decision Models for Workforce and Technology Plann…

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Strategic Workforce Planning is a company process providing best in class, economically sound, workforce management policies and goals. Despite the abundance of literature on the subject, this is a notorious challenge in terms of…

General Finance · Quantitative Finance 2016-12-05 Marie Doumic , Benoît Perthame , Edouard Ribes , Delphine Salort , Nathan Toubiana

Cloud resource allocation has emerged as a major challenge in modern computing environments, with organizations struggling to manage complex, dynamic workloads while optimizing performance and cost efficiency. Traditional heuristic…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-18 Deep Bodra , Sushil Khairnar

Organizations around the world schedule jobs (programs) regularly to perform various tasks dictated by their end users. With the major movement towards using a cloud computing infrastructure, our organization follows a hybrid approach with…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-23 Sunandita Patra , Mehtab Pathan , Mahmoud Mahfouz , Parisa Zehtabi , Wided Ouaja , Daniele Magazzeni , Manuela Veloso

To make good decisions in the real world people need efficient planning strategies because their computational resources are limited. Knowing which planning strategies would work best for people in different situations would be very useful…

Artificial Intelligence · Computer Science 2021-02-02 Saksham Consul , Lovis Heindrich , Jugoslav Stojcheski , Falk Lieder

This paper proposes a reinforcement learning-based method for microservice resource scheduling and optimization, aiming to address issues such as uneven resource allocation, high latency, and insufficient throughput in traditional…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-18 Yujun Zou , Nia Qi , Yingnan Deng , Zhihao Xue , Ming Gong , Wuyang Zhang

Greater capabilities of mobile communications technology enable interconnection of on-site medical care at a scale previously unavailable. However, embedding such critical, demanding tasks into the already complex infrastructure of mobile…

Machine Learning · Computer Science 2022-01-26 Steffen Gracla , Edgar Beck , Carsten Bockelmann , Armin Dekorsy

Cloud computing infrastructures increasingly rely on geographically distributed data centers to meet the growing demand for low latency, high availability, and cost-efficient service delivery. In this context, load balancing plays a…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-12 Saeid Aghasoleymani Najafabadi , Elaheh Nabavi Nia

Motion generation in cluttered, dense, and dynamic environments is a central topic in robotics, rendered as a multi-objective decision-making problem. Current approaches trade-off between safety and performance. On the one hand, reactive…

Robotics · Computer Science 2024-07-30 Kay Hansel , Julen Urain , Jan Peters , Georgia Chalvatzaki

This paper presents a workforce planning model scalable to an entire hierarchical organization. Its main objective is to design a cost optimal target which leverages flexible workforce solutions while ensuring an efficient promotional flux.…

Analysis of PDEs · Mathematics 2017-07-18 Benoıt Perthame , Edouard Ribes , Karim Touahri , Delphine Salort

[Spreadsheet] Models are invaluable tools for strategic planning. Models help key decision makers develop a shared conceptual understanding of complex decisions, identify sensitivity factors and test management scenarios. Different…

Human-Computer Interaction · Computer Science 2024-12-31 Paula Jennings

Hierarchical edge-cloud computing-aided Internet of Things (IoT) networks offer low-latency and cost-efficient services to a growing number of data-intensive IoT devices. However, optimizing service placement, which involves determining the…

In order to solve complex, long-horizon tasks, intelligent robots need to carry out high-level, abstract planning and reasoning in conjunction with motion planning. However, abstract models are typically lossy and plans or policies computed…

Robotics · Computer Science 2022-05-27 Naman Shah , Siddharth Srivastava

In industrial contexts, effective workforce allocation is crucial for operational efficiency. This paper presents an ongoing project focused on developing a decision-making tool designed for workforce allocation, emphasising the…

Assigning resources in business processes execution is a repetitive task that can be effectively automated. However, different automation methods may give varying results that may not be optimal. Proper resource allocation is crucial as it…

Machine Learning · Computer Science 2021-04-02 Kamil Żbikowski , Michał Ostapowicz , Piotr Gawrysiak

The use of cloud technology can offer significant savings for the deployment of services, provided that the service is able to make efficient use of the available virtual resources to meet service-level requirements. To avoid software…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-10-27 Einar Broch Johnsen , Ka I Pun , S. Lizeth Tapia Tarifa

The recent advancements in mobile/data technology have fostered a widespread adoption of on-demand or gig service platforms. The increasingly available data and independent contractors have enabled these platforms to design customized…

Optimization and Control · Mathematics 2024-11-12 Lijian Lu , Xin Weng , Li Xiao

Maintaining competitive advantage is significant in this present day of globalization, knowledge management and enormous economic activities. An organization's future developments are influenced by its managements' decisions. Businesses…

Other Computer Science · Computer Science 2013-07-31 Quist-Aphetsi Kester , Koumadi , Koudjo M , Nii Narku Quaynor

For delivering products or services to their clients, organizations execute manifold business processes. During such execution, upcoming process tasks need to be allocated to internal resources. Resource allocation is a complex…

Software Engineering · Computer Science 2024-03-29 Luise Pufahl , Sven Ihde , Fabian Stiehle , Mathias Weske , Ingo Weber

Deploying applications across the computing continuum requires selecting infrastructure nodes from geographically distributed and heterogeneous environments while satisfying constraints (e.g., performance, location). This decision problem…

Cloud computing promises a radical shift in the provisioning of computing resource within the enterprise. This paper describes the challenges that decision makers face when assessing the feasibility of the adoption of cloud computing in…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-08-12 Ali Khajeh-Hosseini , David Greenwood , James W. Smith , Ian Sommerville
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