Every computer system performs resource allocation across system users. The defacto allocation policies used in most of these systems are max-min fairness for single resource settings and dominant resource fairness for multiple resources. These ...

Prescriptive process analytics aims to suggest interventions for those process instances that are predicted to not achieve a satisfactory outcome. Typical interventions are recommending a task to be performed by a specific resource. State-of-the-...

Resource allocation refers to the assignment of resources to activities for their execution within a business process at runtime. While resource allocation approaches are common in industries such as manufacturing, directly applying them to ...${\mathrm{}}_{\mathsf{}}$${\mathrm{}}_{\mathsf{}}$

In order to optimize the efficiency of operations in organizations, the control flow of business processes and the resources allocated to process tasks have to be considered in an intertwined way. In real-world process scenarios, resources might ...

An emerging landscaping and lawn care service company (GreenLawn) is seeking to transition from manual record-keeping to digital solutions. With significant growth over two years, GreenLawn requires efficient software to manage operations and finances ...

The conventional railway signal equipment maintenance platform typically gathers diverse monitoring data within cloud computing data centers, where the data is subsequently integrated, analyzed, and utilized. However, extant task offloading ...

The rapid growth of cloud computing has precipitated a paradigm shift in application service deployment, transitioning predominantly from monolithic to microservices architectures. This shift to microservices brings new, complex challenges in ...

In past decade parking and problems associated with it have attracted the researchers attention towards it. Some of the well known problems associated in the path of making parking smart are optimal parking resources usage, guaranteed parking reservation,...

In vechcular networks, a promising approach to enhance vehicle task processing capabilities involves using a combination of roadside base stations or vehicles, there are two challenges when integrating the two offloading modeth: 1) the high mobility of ...

This paper introduces the Lagrange Policy for Continuous Actions (LPCA), a reinforcement learning algorithm specifically designed for weakly coupled MDP problems with continuous action spaces. LPCA addresses the challenge of resource constraints ...

In standard resource allocation problems, the designer sets the objective function, which captures the central allocation goal, in a top-down manner. The agents primarily participate in the allocation mechanism by reporting their preferences over the ...

With the increasing complexity of deep neural network (DNN) models and the constrained computational and storage capabilities of user equipment (UE), the efficient inference of DNN models becomes a challenge. As an extension of cloud computing, edge ...

In the ever-evolving landscape of computational grid systems, the meticulous selection of resources tailored to specific tasks is a formidable challenge. This paper introduces an efficient load distribution strategy known as Load Distribution ...

Most developers consider that microservice-based application design and development can improve scalability and maintainability. The microservices are developed as small independent modules and deployed in containers. The containers are deployed ...

Modern cellular systems must accommodate millions of mobile devices, placing significant demands on network capacity and performance. The predominant technologies for internet connectivity are Wireless Fidelity (Wi-Fi) in the unlicensed spectrum and ...

Unmanned Aerial Vehicles (UAVs) are transforming cellular networks, extending coverage to underserved regions and enabling swift deployment of communication infrastructure. However, the dynamic nature of UAVs poses challenges in user association and ...

During the COVID-19 pandemic, the healthcare sector faced unprecedented challenges in effectively managing hospital resources. A crucial aspect of resource planning and allocation is the ability to predict the expected length of a patient’s stay. ...

Disaster Recovery (DR) providers define the main services as backup and restore, both with critical data and applications. Most clients of data and application backup, fully rely on DR's services to restore them in the disaster events. Furthermore,...

In the dynamic landscape of cloud computing, efficient task scheduling plays a pivotal role in optimizing resource utilization and enhancing overall system performance. This research introduces a groundbreaking approach to task scheduling in cloud ...

With the construction and development of tunnels, the demand for communication in tunnels is gradually increasing. During tunnel construction, some new communication technologies can be adopted to solve the communication pressure in the current tunnel ...