Game Frame Time data files for Multi Service Provider scenario

To cater to many players in AR/VR applications in the MEC network (MEN), MEN is divided into regions by each Service Provider (SP), where each region consists of multiple MEC hosts. Every region has one server, called the Region Coordinator (RC), responsible for hosting the services to process the action data for players within that region. This architecture is decentralized as the processing of action data does not occur centrally, in the cloud. In such a multiplayer decentralized architecture, the response time for a user is the sum of a) Stage 1: the time taken by the task, whether offloaded or not, b) Stage 2: time to send the output of the task from the MEC host to the RC, c) Stage 3: the time to process the output of the tasks at the RC and the time to communicate the result to the player. The maximum value of the sum of the duration for stages 1, 2, and 3 constitutes a Game Frame Time (GFT). GFT represents the maximum response time experienced by any player. An MEC Orchestrator/Controller decides which MEC hosts are RCs, which MEC hosts a UE needs to be associated with, and whether to offload UE tasks while reducing GFT.

We formulated the Optimal Profit Problem (OPP) problem to maximize the minimum profit of all SPs with a constraint on the upper limit of the GFT. We also proposed the heuristic Decentralized multi-SP Profit maximization and Game Frame Time reduction (DmPmGFTr). Text file "Files_description_rGFT.txt" contains the description about files available in folder "DmPmGFTr". These data files are used to run the heuristic experiments. Text file "Files_description_rGFT-OPT.txt" contains the description about files available in folder "DmPmGFTr-OPP" . These files are used to run the experiments when comparing the DmPmGFTr and OPP. Note if any parameter values is missing in this raw data, it may be referred from Research paper.

为服务多接入边缘计算网络（Multi-Access Edge Computing Network，MEN）中的AR/VR应用玩家，各服务提供商（Service Provider，SP）将MEN划分为多个区域，每个区域包含多台多接入边缘计算（Multi-Access Edge Computing，MEC）主机。每个区域配备一台名为区域协调器（Region Coordinator，RC）的服务器，负责托管服务以处理该区域内玩家的动作数据。该架构采用去中心化设计，动作数据的处理无需集中于云端完成。
在这类去中心化多人游戏架构中，用户的响应时间由三部分构成：a) 阶段1：任务（无论是否卸载）的处理时长；b) 阶段2：将任务输出从MEC主机传输至区域协调器的时长；c) 阶段3：在区域协调器处处理任务输出，以及将结果反馈给玩家的通信时长。阶段1、2、3的总时长的最大值即为游戏帧时间（Game Frame Time，GFT），GFT代表任意一名玩家所经历的最大响应时间。
多接入边缘计算编排器/控制器（MEC Orchestrator/Controller）负责决策哪些MEC主机担任区域协调器、用户设备（User Equipment，UE）需关联哪些MEC主机，以及是否需要卸载UE任务以缩减游戏帧时间。
我们构建了最优收益问题（Optimal Profit Problem，OPP），旨在实现所有服务提供商的收益最小值最大化，同时设置游戏帧时间上限作为约束条件。此外，我们还提出了启发式算法去中心化多服务提供商收益最大化与游戏帧时间缩减（Decentralized multi-SP Profit maximization and Game Frame Time reduction，DmPmGFTr）。
文本文件"Files_description_rGFT.txt"对文件夹"DmPmGFTr"内的文件进行了说明，这些数据文件用于运行该启发式算法的实验。文本文件"Files_description_rGFT-OPT.txt"对文件夹"DmPmGFTr-OPP"内的文件进行了说明，这些文件用于开展去中心化多服务提供商收益最大化与游戏帧时间缩减算法与最优收益问题的对比实验。
请注意，若本原始数据中存在参数缺失项，可参考相关研究论文获取对应参数值。