There is a rapidly growing interest in the use of cloud computing for automotive vehicles to facilitate computation and data intensive tasks. Efficient utilization of on-demand cloud resources holds a significant potential to improve future vehicle safety, comfort, and fuel economy. In the meanwhile, issues like cyber security and resource allocation pose great challenges. In this paper, we tre...

Federalist systems are considered centralized when the national government has greater weight in the formation and implementation of public policy and in decisions concerning resource allocation than subnational governments. In a decentralized federal system, subnational governments have some degree of autonomy or discretion in these two arenas. Even though national and subnational governments ...

According to the new tendencies in marketplace, such as the growth and spread of e-commerce and e-business, Supply chains and Logistics are naturally being modeled as distributed systems. Companies are organized as Demand and Supply network and the global logistics system is performed by a large-scale world-wide network of local service enterprises. Referring to such scenario, multiagents and o...

Grid computing for resources sharing and distributed computing has been researched widely in the past. As for distributed spatial datasets, the current centralized administrative scheme may become the system performance bottleneck. This paper presents a distributed cooperative grid computing technology to facilitate complex spatial applications by collaboration among distributed spatial resourc...

In wireless communications, power allocation plays a paramount role in sustainable network lifetime prolongation with quality-of-service and network interference reduction. This paper investigates a distributed power allocation problem in wireless parallel amplify-and-forward (AF) relay transmissions. Particularly, the objective is set to minimize the total transmit power while guaranteeing the...

This paper concerns sub-channel allocation in multi-user wireless networks with a view to increasing the network throughput. It is assumed there are some sub-channels to be equally divided among active links, such that the total sum rate increases, where it is assumed each link is subject to a maximum transmit power constraint. This problem is found to be a non-convex optimization problem and i...

Synchronous and asynchronous communication effects are considered in the cooperative control of uninhabited aerial vehicles where resource allocation is performed by an iterative network flow. We briefly outline both the single and iterative network flow assignment algorithms and their communication requirements. Then, using the abstracted communication framework found in the Air Force Research...

Background In order to meet the challenges presented by increasing demand and scarcity of resources, healthcare organizations are faced with difficult decisions related to resource allocation. Tools to facilitate evaluation and improvement of these processes could enable greater transparency and more optimal distribution of resources.   Methods The Resource Allocation Performance Assessment Too...

This study investigates the expected service performance associated with a proposal to reallocate resources from a centralized chemotherapy department to a breast cancer focused factory. Using a slotted queueing model we show that a decrease in performance is expected and calculate the amount of additional resources required to offset these losses. The model relies solely on typical outpatient ...

Constraint Satisfaction Problems (CSP) have been very successful in problem-solving tasks ranging from resource allocation and scheduling to configuration and design. Increasingly, many of these tasks pose themselves in a distributed setting where variables and constraints are distributed among different agents. A variety of asynchronous search algorithms have been proposed for addressing this ...