使用改进的LSTM算法通过卸载移动设备中的作业来优化资源利用

Q3 Chemistry
I. Joe, Elizabeth Rosalind Rebecca, D. Arthi
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引用次数: 0

摘要

便携式云处理最近因其较少的武力使用和手机开销而臭名昭著。基于云注册的多功能健康观察、游戏、学习和商业正在逐步变得重要。这一部分讨论了便携式云处理的动荡,包括其设计、兴趣点和应用。多功能云注册的不同问题集中在安排上。为了研究这些庞大的信息量,庞大的信息和信息调查已经成为发展中的探索领域,吸引了学术界、行业和政府的考虑。科学家、商界人士、主管和问题解决者将“大信息”视为改革不同企业和领域的工具,例如商业、医疗服务、零售、研究、教学和开放组织。卸载是指在远程云中而不是移动设备中执行信息存储、计算和计算的过程。如此一来,这个小工具消耗的能量就增加了,而容量和资产限制的问题也被排除了。现在,已经谈到了卸载及其应用程序的生命力有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Resource Utilization Through Offloading of Jobs in Mobile Devices Using Modified LSTM Algorithm
Portable cloud processing has picked up notoriety as of late in light of less force utilization and overhead of cell phones. Versatile cloud registering based wellbeing observing, gaming, learning, and business are picking up significance step by step. This part talks about the unrest of portable cloud processing including its design, points of interest, and applications. Different issues of versatile cloud registering are concentrated with arrangements. Towards the examination of these huge volumes of information, huge information and information investigation have become developing exploration fields, pulling in the consideration of the scholarly community, industry and governments. Scientists, business people, chiefs and issue solvers see ‘large information’ as the apparatus to reform different enterprises and areas, for example, business, medicinal services, retail, research, instruction and open organization. Offloading alludes to a process where information stockpiling, calculations and computations are executed in a remote cloud rather than mobile device. Thusly, the energy consumed by the gadget is expanded just as the troubles of capacity and asset constraints are expelled. Right now, have talked about on offloading with its applications toward vitality effectiveness.
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来源期刊
Journal of Computational and Theoretical Nanoscience
Journal of Computational and Theoretical Nanoscience 工程技术-材料科学:综合
自引率
0.00%
发文量
0
审稿时长
3.9 months
期刊介绍: Information not localized
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