Department of Software Engineering, Government College University, Faisalabad, Pakistan.
Center of Data Science, Government College University, Faisalabad, Pakistan.
Comput Math Methods Med. 2022 Jun 28;2022:8040487. doi: 10.1155/2022/8040487. eCollection 2022.
Advancement in technology has led to an increase in data. Consequently, techniques such as deep learning and artificial intelligence which are used in deciphering data are increasingly becoming popular. Further, advancement in technology does increase user expectations on devices, including consumer interfaces such as mobile apps, virtual environments, or popular software systems. As a result, power from the battery is consumed fast as it is used in providing high definition display as well as in charging the sensors of the devices. Low latency requires more power consumption in certain conditions. Cloud computing improves the computational difficulties of smart devices with offloading. By optimizing the device's parameters to make it easier to find optimal decisions for offloading tasks, using a metaheuristic algorithm to transfer the data or offload the task, cloud computing makes it easier. In cloud servers, we offload the tasks and limit their resources by simulating them in a virtual environment. Then we check resource parameters and compare them using metaheuristic algorithms. When comparing the default algorithm FCFS to ACO or PSO, we find that PSO has less battery or makespan time compared to FCFS or ACO. The energy consumption of devices is reduced if their resources are offloaded, so we compare the results of metaheuristic algorithms to find less battery usage or makespan time, resulting in the PSO increasing battery life or making the system more efficient.
技术的进步导致数据的增加。因此，深度学习和人工智能等用于破译数据的技术越来越受欢迎。此外，技术的进步确实增加了用户对设备的期望，包括消费者界面，如移动应用程序、虚拟环境或流行的软件系统。结果，电池的电量消耗很快，因为它用于提供高清晰度显示以及为设备的传感器充电。在某些情况下，低延迟需要更多的功耗。云计算通过卸载来提高智能设备的计算难度。通过优化设备的参数，使其更容易找到卸载任务的最佳决策，使用启发式算法来传输数据或卸载任务，云计算使这变得更容易。在云服务器中，我们通过在虚拟环境中模拟任务来卸载任务并限制它们的资源。然后，我们检查资源参数并使用启发式算法进行比较。在将默认算法 FCFS 与 ACO 或 PSO 进行比较时，我们发现与 FCFS 或 ACO 相比，PSO 的电池寿命或完成时间更短。如果设备的资源被卸载，设备的能耗将会降低，因此我们比较启发式算法的结果，以找到更少的电池使用或完成时间，从而使 PSO 增加电池寿命或使系统更高效。
