… that minimize the task drop rate as well as the execution delay without requiring information
about the dynamics of the environment such as channel models and task arrival rates at …

… To clearly understand current research trends in dynamic task … dynamic task scheduling.
The taxonomy presented facilitates observing similarities and differences between dynamic task …

… model, and application services of the new edge-cloud network. In Section IV, we introduce
the heuristic dynamic task processing scheme. Section V describes an improved discrete …

… We believe that task scheduling is the most … the task allocation problem, is an NP-hard
problem for the general case [5]. Many heuristic algorithms exist for specific instances of the task …

… in a dynamic environment, which can be done by balancing the utilization of computing …
In this paper, we propose two dynamic task allocation models which are: 1) the clustering …

… While, dynamic scheduling techniques are based on … a task has to be transferred or not
and to which node should be transferred [2, 6, 7, 8, 12]. In this paper, we propose a dynamic task …

… scenarios, DSLO can quickly adapt to the new workload d and task weights w . The overall
… dynamic MEC task scenario, where the task weight w of the scenario is variable and the task …

… of the optimal task and resource scheduling dynamically. This … that have been used for
dynamic task scheduling. The paper … learning techniques used in dynamic task scheduling and a …

… However, the main focus of the work is static task scheduling, and in the dynamic task
arrival scenario, the performance bound can only be ensured for special cases (eg, when the …

… Then we propose a dynamic task scheduling algorithm to solve the studied problem. For
the already known moving direction and initial speed during handshaking, the positions of a …