Multi-agent reinforcement learning-based dynamic task assignment for vehicles in urban transportation system

Cloud computing is turning into a rising innovation for famous undertaking displaying where registering assets are accessible on-request to the client as and when required. Distributed computing is and will be another method for giving Internet administrations and PCs. Cloud computing utilize the web innovations for conveyance of IT-Enabled capacities 'as a help', 'as a framework', 'as a stage' to any required clients for example with the assistance of distributed computing we can get to whatever we need from anyplace without agonizing over anything like about their stockpiling, cost, the board etc. In this paper, we have given an extensive report on the inspiration variables of tolerating distributed computing, survey the few cloud organization and administration models. It additionally extends certain advantages of distributed computing over conventional IT administration condition and security, protection and web.

https://www.jetir.org/papers/JETIRDQ06056.pdf

Cloud Computing: A Review

A coalition-structure’s generation method for solving cooperative computing problems in edge computing environments

Two-phase flows under microgravity conditions play a crucial role in Space technology and science. Studying the behavior of dispersed droplets suspended in a gas flow and their influence on the characteristics of the carrier flow is the main task of computational modeling of turbulent two-phase flows. To understand the features and predict the behavior of such flows, along with experimental studies, it is necessary to develop mathematical models, which adequately describe all the basic physical and chemical processes in a gas-droplet environment at different scales. In this paper we obtain solutions for the problem of two droplets collision, using solutions for cumulative jets, and propose droplet collision outcome criterion. This research will focus on the process of two interacting droplets coalescence into one and coalescence with subsequent separation into two or more droplets. A semi-analytical method has been developed for application of the solution of the cumulative jet problem to the problem of droplet collision. A differential equation has been obtained that describes the following possible outcomes of droplet collision: coalescence and coalescence with subsequent separation. A criterion for determining the outcome of on-head droplet collision has been obtained. In accordance with the developed criterion, the number and size of formed droplets are obtained. The effect of collision on moving droplet evaporation in a heated atmosphere was regarded. 

Mathematical modeling of droplet collisions in sprays under microgravity conditions

This paper proposes a method for dynamically forming teams and assigning appropriate tasks to their members to provide services accomplished by groups of agents of different types. Task or resource allocation in multi-agent systems has drawn attention and has been applied in many areas, such as robot rescue, UAV wireless networks, and distributed computer systems. The proposed method allows agents to belong to more than one team simultaneously for efficiency based on the reciprocal trust relationship, which reflects the past performance of cooperative work, and thus allows each agent to have a queue to undertake multiple tasks. In such a setting, in addition to the communication time, the tasks in the queue can even cause processing delays, leading to instability in the observed information from the leader who selects the team members. Our experimental evaluation shows that the proposed method can efficiently enable stable team formation even in this situation. We also analyze the reasons for this efficiency.

Multi-Agent Task Allocation Based on Reciprocal Trust in Distributed Environments

Dynamical behaviors of aluminum droplets impinging on horizontal and inclined surfaces

Scheduling strategy for computational-intensive data flow in generalized cluster environments

Task allocation based on modified contract net protocol under generalized cluster

Rebound characteristics of burning aluminum droplets impacting surfaces

The heat transfer process occurring when high-temperature aluminum droplets collide with a solid surface is investigated via numerical simulation and experimentation. The wall temperature at the impact point rapidly increases, with some oscillations, reaching a maximum value of 1054.5 K. The maximum wall heat flux density during the droplet–wall collision is 63,135 kW/m2. As the droplet spreads on the wall, the temperature at the impact point undergoes a two-stage decrease: a rapid decrease followed by a slow decrease. During the initial stage of the droplet–wall collision, the wall temperature is asymmetrically distributed, with the increase in temperature at the advancing edge spreading more slowly than that at the receding edge. Similarly, the corresponding heat flux density distribution at that time is also asymmetrically distributed, with higher heat flux density at the trailing edge of the spread than at the leading edge. 

Heat transfer process in the collision of high-temperature aluminum droplets with an inclined wall

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