Results 41 to 50 of about 6,713,634 (328)
Energy-Aware Task Allocation for Multi-Cloud Networks
In recent years, the growth rate of Cloud computing technology is increasing exponentially, mainly for its extraordinary services with expanding computation power, the possibility of massive storage, and all other services with the maintained quality of ...
Sambit Kumar Mishra +6 more
doaj +1 more source
Edge computing (EC) extends the ability of cloud computing to the network edge to support diverse resource-sensitive and performance-sensitive IoT applications.
Yan Chen +3 more
semanticscholar +1 more source
Dynamic Matching and Allocation of Tasks [PDF]
In many two-sided markets, the parties to be matched have incomplete information about their characteristics. We consider the settings where the parties engaged are extremely patient and are interested in long-term partnerships. Hence, once the final matches are determined, they persist for a long time.
Kartik Ahuja, Mihaela van der Schaar
openaire +3 more sources
Decentralised Dynamic Task Allocation Using Overlapping Potential Games [PDF]
This paper reports on a novel decentralised technique for planning agent schedules in dynamic task allocation problems. Specifically, we use a stochastic game formulation of these problems in which tasks have varying hard deadlines and processing ...
Kota, R +13 more
core +1 more source
Fine-grained Action Allocation and Scheduling Method for Dynamic Heterogeneous Tasks in Multi-robot Environments [PDF]
In a multi-robot environment,robots with different capabilities collaborate with each other to complete task requirements.Realistically,these tasks are dynamically issued and can have different goals and urgency levels,so it is necessary to allocate and ...
WANG Jiwang, SHEN Liwei
doaj +1 more source
Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning
With the development of UAV technology, the task allocation problem of multiple UAVs is remarkable, but most of these existing heuristic methods are easy to fall into the problem of local optimization.
Yongfeng Yin +3 more
semanticscholar +1 more source
Allocation of Multi-Robot Tasks with Task Variants
Task allocation has been a well studied problem. In most prior problem formulations, it is assumed that each task is associated with a unique set of resource requirements. In the scope of multi-robot task allocation problem, these requirements can be satisfied by a coalition of robots.
Zakk Giacometti, Yu Zhang
openaire +2 more sources
Dynamic Multi-Objective Auction-Based (DYMO-Auction) Task Allocation
In this paper, we address the problem of online dynamic multi-robot task allocation (MRTA) problem. In the existing literature, several works investigated this problem as a multi-objective optimization (MOO) problem and proposed different approaches to ...
Uthman Baroudi +3 more
doaj +1 more source
Compared with a single unmanned aerial vehicle (UAV), a large-scale UAV swarm can accomplish the unavailable, complex, and “1 + 1 > 2” tasks of traditional UAVs.
Ya-lan PENG, Hai-bin DUAN, Chen WEI
doaj +1 more source
Fair task allocation in transportation [PDF]
Task allocation problems have traditionally focused on cost optimization. However, more and more attention is being given to cases in which cost should not always be the sole or major consideration. In this paper we study a fair task allocation problem in transportation where an optimal allocation not only has low cost but more importantly, it ...
Ye, Q.C., Zhang, Y., Dekker, R.
openaire +3 more sources

