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Adaptive Resource Planning for AI Workloads with Variable Real-Time Tasks
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作者 Sunhwa Annie Nam Kyungwoon Cho Hyokyung Bahn 《Computers, Materials & Continua》 SCIE EI 2023年第3期6823-6833,共11页
AI(Artificial Intelligence)workloads are proliferating in modernreal-time systems.As the tasks of AI workloads fluctuate over time,resourceplanning policies used for traditional fixed real-time tasks should be reexami... AI(Artificial Intelligence)workloads are proliferating in modernreal-time systems.As the tasks of AI workloads fluctuate over time,resourceplanning policies used for traditional fixed real-time tasks should be reexamined.In particular,it is difficult to immediately handle changes inreal-time tasks without violating the deadline constraints.To cope with thissituation,this paper analyzes the task situations of AI workloads and findsthe following two observations.First,resource planning for AI workloadsis a complicated search problem that requires much time for optimization.Second,although the task set of an AI workload may change over time,thepossible combinations of the task sets are known in advance.Based on theseobservations,this paper proposes a new resource planning scheme for AIworkloads that supports the re-planning of resources.Instead of generatingresource plans on the fly,the proposed scheme pre-determines resourceplans for various combinations of tasks.Thus,in any case,the workload isimmediately executed according to the resource plan maintained.Specifically,the proposed scheme maintains an optimized CPU(Central Processing Unit)and memory resource plan using genetic algorithms and applies it as soonas the workload changes.The proposed scheme is implemented in the opensourcesimulator SimRTS for the validation of its effectiveness.Simulationexperiments show that the proposed scheme reduces the energy consumptionof CPU and memory by 45.5%on average without deadline misses. 展开更多
关键词 Resource planning artificial intelligence real-time system task scheduling optimization problem genetic algorithm
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Many-Objective Optimization-Based Task Scheduling in Hybrid Cloud Environments
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作者 Mengkai Zhao Zhixia Zhang +2 位作者 Tian Fan Wanwan Guo Zhihua Cui 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第9期2425-2450,共26页
Due to the security and scalability features of hybrid cloud architecture,it can bettermeet the diverse requirements of users for cloud services.And a reasonable resource allocation solution is the key to adequately u... Due to the security and scalability features of hybrid cloud architecture,it can bettermeet the diverse requirements of users for cloud services.And a reasonable resource allocation solution is the key to adequately utilize the hybrid cloud.However,most previous studies have not comprehensively optimized the performance of hybrid cloud task scheduling,even ignoring the conflicts between its security privacy features and other requirements.Based on the above problems,a many-objective hybrid cloud task scheduling optimization model(HCTSO)is constructed combining risk rate,resource utilization,total cost,and task completion time.Meanwhile,an opposition-based learning knee point-driven many-objective evolutionary algorithm(OBL-KnEA)is proposed to improve the performance of model solving.The algorithm uses opposition-based learning to generate initial populations for faster convergence.Furthermore,a perturbation-based multipoint crossover operator and a dynamic range mutation operator are designed to extend the search range.By comparing the experiments with other excellent algorithms on HCTSO,OBL-KnEA achieves excellent results in terms of evaluation metrics,initial populations,and model optimization effects. 展开更多
关键词 Hybrid cloud environment task scheduling many-objective optimization model many-objective optimization algorithm
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Energy-Efficient Deterministic Fault-Tolerant Scheduling for Embedded Real-Time Systems
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作者 李国徽 胡方晓 +1 位作者 杜小坤 唐向红 《Journal of Southwest Jiaotong University(English Edition)》 2009年第4期283-291,共9页
By combining fault-tolerance with power management, this paper developed a new method for aperiodic task set for the problem of task scheduling and voltage allocation in embedded real-time systems. The scbedulability ... By combining fault-tolerance with power management, this paper developed a new method for aperiodic task set for the problem of task scheduling and voltage allocation in embedded real-time systems. The scbedulability of the system was analyzed through checkpointing and the energy saving was considered via dynamic voltage and frequency scaling. Simulation results showed that the proposed algorithm had better performance compared with the existing voltage allocation techniques. The proposed technique saves 51.5% energy over FT-Only and 19.9% over FT + EC on average. Therefore, the proposed method was more appropriate for aperiodic tasks in embedded real-time systems. 展开更多
关键词 Embedded real-time systems Aperiodic tasks Fault tolerance Power management task scheduling and voltageallocation
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Multi-satellite observation integrated scheduling method oriented to emergency tasks and common tasks 被引量:23
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作者 Guohua Wu Manhao Ma +1 位作者 Jianghan Zhu Dishan Qiu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第5期723-733,共11页
Satellite observation scheduling plays a significant role in improving the efficiency of satellite observation systems.Although many scheduling algorithms have been proposed,emergency tasks,characterized as importance... Satellite observation scheduling plays a significant role in improving the efficiency of satellite observation systems.Although many scheduling algorithms have been proposed,emergency tasks,characterized as importance and urgency(e.g.,observation tasks orienting to the earthquake area and military conflict area),have not been taken into account yet.Therefore,it is crucial to investigate the satellite integrated scheduling methods,which focus on meeting the requirements of emergency tasks while maximizing the profit of common tasks.Firstly,a pretreatment approach is proposed,which eliminates conflicts among emergency tasks and allocates all tasks with a potential time-window to related orbits of satellites.Secondly,a mathematical model and an acyclic directed graph model are constructed.Thirdly,a hybrid ant colony optimization method mixed with iteration local search(ACO-ILS) is established to solve the problem.Moreover,to guarantee all solutions satisfying the emergency task requirement constraints,a constraint repair method is presented.Extensive experimental simulations show that the proposed integrated scheduling method is superior to two-phased scheduling methods,the performance of ACO-ILS is greatly improved in both evolution speed and solution quality by iteration local search,and ACO-ILS outperforms both genetic algorithm and simulated annealing algorithm. 展开更多
关键词 satellite scheduling emergency task ant colony optimization(ACO) iteration local search(ILS) acyclic directed graph model
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Reservation-based feedback scheduling of MPC tasks 被引量:1
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作者 Zhou Pingfang Xie Jianying 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2007年第1期132-136,共5页
A reservation-based feedback scheduling (FS-CBS) of a set of model predictive control (MPC) tasks is presented to optimize the global control performance subject to limited computational resource. Implemented as a... A reservation-based feedback scheduling (FS-CBS) of a set of model predictive control (MPC) tasks is presented to optimize the global control performance subject to limited computational resource. Implemented as anytime algorithm, MPC task allows computation time to be traded for control performance. Each MPC task is assigned with a constant bandwidth server (CBS), whose reserved processor time is adjusted dynamically. The FS-CBS is shown robust against the varying of execution time of MPC tasks at runtime. Simulation results illustrate its effectiveness. 展开更多
关键词 real-time control system real-time scheduling model predictive control
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An Improved Task Scheduling Algorithm in Grid Computing Environment
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作者 Liang Yu Gang Zhou Yifei Pu 《International Journal of Communications, Network and System Sciences》 2011年第4期227-231,共5页
Algorithm research of task scheduling is one of the key techniques in grid computing. This paper firstly describes a DAG task scheduling model used in grid computing environment, secondly discusses generational schedu... Algorithm research of task scheduling is one of the key techniques in grid computing. This paper firstly describes a DAG task scheduling model used in grid computing environment, secondly discusses generational scheduling (GS) and communication inclusion generational scheduling (CIGS) algorithms. Finally, an improved CIGS algorithm is proposed to use in grid computing environment, and it has been proved effectively. 展开更多
关键词 GRID COMPUTING model of task scheduling HEURISTICS ALGORITHM Dependent task scheduling ALGORITHM
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Optimal feedback scheduling of model predictive controllers
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作者 Pingfang ZHOU Jianying XIE Xiaolong DENG 《控制理论与应用(英文版)》 EI 2006年第2期175-180,共6页
Model predictive control (MPC) could not be reliably applied to real-time control systems because its computation time is not well defined. Implemented as anytime algorithm, MPC task allows computation time to be tr... Model predictive control (MPC) could not be reliably applied to real-time control systems because its computation time is not well defined. Implemented as anytime algorithm, MPC task allows computation time to be traded for control performance, thus obtaining the predictability in time. Optimal feedback scheduling (FS-CBS) of a set of MPC tasks is presented to maximize the global control performance subject to limited processor time. Each MPC task is assigned with a constant bandwidth server (CBS), whose reserved processor time is adjusted dynamically. The constraints in the FS- CBS guarantee scheduler of the total task set and stability of each component. The FS-CBS is shown robust against the variation of execution time of MPC tasks at runtime. Simulation results illustrate its effectiveness. 展开更多
关键词 real-time control system scheduling model predictive control
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Assigning Real-Time Tasks in Environmentally Powered Distributed Systems
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作者 Jian Lin Albert M. K. Cheng 《Circuits and Systems》 2014年第4期98-113,共16页
Harvesting energy for execution from the environment (e.g., solar, wind energy) has recently emerged as a feasible solution for low-cost and low-power distributed systems. When real-time responsiveness of a given appl... Harvesting energy for execution from the environment (e.g., solar, wind energy) has recently emerged as a feasible solution for low-cost and low-power distributed systems. When real-time responsiveness of a given application has to be guaranteed, the recharge rate of obtaining energy inevitably affects the task scheduling. This paper extends our previous works in?[1] [2] to explore the real-time task assignment problem on an energy-harvesting distributed system. The solution using Ant Colony Optimization (ACO) and several significant improvements are presented. Simulations compare the performance of the approaches, which demonstrate the solutions effectiveness and efficiency. 展开更多
关键词 Distributed Systems Energy HARVESTING real-time scheduling task ASSIGNMENT
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Garbage Collection Scheduling of Aperiodic Tasks
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作者 Ning Zhang Guang-Ze Xiong 《Journal of Electronic Science and Technology of China》 2009年第3期223-226,共4页
In the previous work of garbage collection (GC) models, scheduling analysis was given based on an assumption that there were no aperiodic mutator tasks. However, it is not true in practical real-time systems. The GC... In the previous work of garbage collection (GC) models, scheduling analysis was given based on an assumption that there were no aperiodic mutator tasks. However, it is not true in practical real-time systems. The GC algorithm which can schedule aperiodic tasks is proposed, and the variance of live memory is analyzed. In this algorithm, active tasks are deferred to be processed by GC until the states of tasks become inactive, and the saved sporadic server time can be used to schedule aperiodic tasks. Scheduling the sample task sets demonstrates that this algorithm in this paper can schedule aperiodic tasks and decrease GC work. Thus, the GC algorithm proposed is more flexible and portable. 展开更多
关键词 Aperiodic tasks garbage collector real-time scheduling
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Design of task priority model and algorithm for imaging observation problem 被引量:2
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作者 WU Jian LU Fang +2 位作者 ZHANG Jiawei YANG Jinghui XING Lining 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第2期321-334,共14页
In the imaging observation system, imaging task scheduling is an important topic. Most scholars study the imaging task scheduling from the perspective of static priority, and only a few from the perspective of dynamic... In the imaging observation system, imaging task scheduling is an important topic. Most scholars study the imaging task scheduling from the perspective of static priority, and only a few from the perspective of dynamic priority. However,the priority of the imaging task is dynamic in actual engineering. To supplement the research on imaging observation, this paper proposes the task priority model, dynamic scheduling strategy and Heuristic algorithm. At first, this paper analyzes the relevant theoretical basis of imaging observation, decomposes the task priority into four parts, including target priority, imaging task priority, track, telemetry & control(TT&C)requirement priority and data transmission requirement priority, summarizes the attribute factors that affect the above four types of priority in detail, and designs the corresponding priority model. Then, this paper takes the emergency tasks scheduling problem as the background, proposes the dynamic scheduling strategy and heuristic algorithm. Finally, the task priority model,dynamic scheduling strategy and heuristic algorithm are verified by experiments. 展开更多
关键词 IMAGING OBSERVATION system IMAGING task PRIORITY task PRIORITY model dynamic scheduling strategy HEURISTIC algorithm
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Investigating and Modelling of Task Offloading Latency in Edge-Cloud Environment 被引量:1
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作者 Jaber Almutairi Mohammad Aldossary 《Computers, Materials & Continua》 SCIE EI 2021年第9期4143-4160,共18页
Recently,the number of Internet of Things(IoT)devices connected to the Internet has increased dramatically as well as the data produced by these devices.This would require offloading IoT tasks to release heavy computa... Recently,the number of Internet of Things(IoT)devices connected to the Internet has increased dramatically as well as the data produced by these devices.This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing.However,different service architecture and offloading strategies have a different impact on the service time performance of IoT applications.Therefore,this paper presents an Edge-Cloud system architecture that supports scheduling offloading tasks of IoT applications in order to minimize the enormous amount of transmitting data in the network.Also,it introduces the offloading latency models to investigate the delay of different offloading scenarios/schemes and explores the effect of computational and communication demand on each one.A series of experiments conducted on an EdgeCloudSim show that different offloading decisions within the Edge-Cloud system can lead to various service times due to the computational resources and communications types.Finally,this paper presents a comprehensive review of the current state-of-the-art research on task offloading issues in the Edge-Cloud environment. 展开更多
关键词 Edge-cloud computing resource management latency models scheduling task offloading internet of things
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Research on Collaboration Theory of Distributed Measurement System and Real-Time of Communication Platform
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作者 SHENYan 《Journal of Electronic Science and Technology of China》 2005年第1期95-95,共1页
关键词 distributed measurement system agent technology swarm intellgence Particle Swarm Optimization algorithm Collaboration model Switched Ethernet real-time scheduling AEROENGINE
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基于组织-任务网络的项目进度风险分析
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作者 施骞 刘安谱 肖超 《系统工程学报》 CSCD 北大核心 2024年第4期570-579,共10页
针对工程项目外部进度风险的传播与控制,构建项目组织-任务网络模型,依据级联失效理论,从风险荷载、节点容量、荷载重分配与失效判别规则四方面确定项目进度风险的传播机制.仿真结果表明,组织和任务间的相互关系会扩大外部风险对项目进... 针对工程项目外部进度风险的传播与控制,构建项目组织-任务网络模型,依据级联失效理论,从风险荷载、节点容量、荷载重分配与失效判别规则四方面确定项目进度风险的传播机制.仿真结果表明,组织和任务间的相互关系会扩大外部风险对项目进度的影响,且随机组织失效造成的影响大于关键组织.通过增加风险投入、加强预警、提高容错率可在一定范围内增强项目风险抵抗能力,同时需要加强非关键组织的风险预警与管控,有效控制外部风险对项目进度造成的影响. 展开更多
关键词 组织-任务网络 风险传播 级联失效 项目进度 建模仿真
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基于深度学习的云平台动态自适应任务调度
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作者 任明 沈达 《计算机技术与发展》 2024年第8期17-22,共6页
云计算环境下任务调度是优化云应用服务质量的热点研究问题,目前工业界和学术界重点关注任务调度策略。然而,现有方法依赖运维人员的系统实现知识或复杂的深度神经网络,需要较高计算资源,产生更高执行成本,难以适应动态变化的多样化任... 云计算环境下任务调度是优化云应用服务质量的热点研究问题,目前工业界和学术界重点关注任务调度策略。然而,现有方法依赖运维人员的系统实现知识或复杂的深度神经网络,需要较高计算资源,产生更高执行成本,难以适应动态变化的多样化任务类型。针对该问题,提出一种基于深度学习的云计算平台动态自适应任务调度策略。首先,从待处理任务、可用云资源及系统运行状态等三方面提取任务调度特征;其次,构建深度学习模型对特征编码,通过多头图注意力机制推理解码以预测策略的任务处理和调度执行成本;最后,根据调度收益从策略集中选择当前最优任务调度策略,同时基于迭代反馈机制计算损失函数以在线优化模型。建立虚拟化云计算服务器集群,实现典型的多种任务调度策略,模拟真实AI任务工作负载。实验结果表明,所提出策略与现有实验选取方法相比能够有效降低响应时间、执行成本及运行能耗。 展开更多
关键词 云计算 深度学习 任务调度 自适应策略 多头注意力 模型选择
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GNNSched:面向GPU的图神经网络推理任务调度框架 被引量:1
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作者 孙庆骁 刘轶 +4 位作者 杨海龙 王一晴 贾婕 栾钟治 钱德沛 《计算机工程与科学》 CSCD 北大核心 2024年第1期1-11,共11页
由于频繁的显存访问,图神经网络GNN在GPU上运行时往往资源利用率较低。现有的推理框架由于没有考虑GNN输入的不规则性,直接适用到GNN进行推理任务共置时可能会超出显存容量导致任务失败。对于GNN推理任务,需要根据其输入特点预先分析并... 由于频繁的显存访问,图神经网络GNN在GPU上运行时往往资源利用率较低。现有的推理框架由于没有考虑GNN输入的不规则性,直接适用到GNN进行推理任务共置时可能会超出显存容量导致任务失败。对于GNN推理任务,需要根据其输入特点预先分析并发任务的显存占用情况,以确保并发任务在GPU上的成功共置。此外,多租户场景提交的推理任务亟需灵活的调度策略,以满足并发推理任务的服务质量要求。为了解决上述问题,提出了GNNSched,其在GPU上高效管理GNN推理任务的共置运行。具体来说,GNNSched将并发推理任务组织为队列,并在算子粒度上根据成本函数估算每个任务的显存占用情况。GNNSched实现了多种调度策略来生成任务组,这些任务组被迭代地提交到GPU并发执行。实验结果表明,GNNSched能够满足并发GNN推理任务的服务质量并降低推理任务的响应时延。 展开更多
关键词 图神经网络 图形处理器 推理框架 任务调度 估计模型
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一种空间多核操作系统容错调度算法
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作者 王宇思 杨桦 徐建 《微电子学与计算机》 2024年第5期49-56,共8页
目前计算机系统逐步采用多核处理器来提升性能,空间操作系统如何管理多核资源是发挥处理器性能的关键。在航天等安全关键领域中,采用固定点任务与定期任务混合调度,在保证可靠性的前提下提高效率。现有针对混合任务模型的多核调度算法... 目前计算机系统逐步采用多核处理器来提升性能,空间操作系统如何管理多核资源是发挥处理器性能的关键。在航天等安全关键领域中,采用固定点任务与定期任务混合调度,在保证可靠性的前提下提高效率。现有针对混合任务模型的多核调度算法仅考虑任务分配问题,没有考虑到系统中某一核心出现故障时如何进行容错。FT-RTA算法是一种空间多核操作系统容错调度算法,当一个核心上出现瞬时故障,将故障核心上在故障时间段内的所有任务迁移至正常核心上执行,使计算机系统不会感知到此次核心故障,成功屏蔽故障。经过实际应用中的典型参数验证,算法可以成功屏蔽核心故障,进行系统无感知的容错。 展开更多
关键词 空间操作系统 多核处理器 容错调度算法 混合任务模型
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基于改进遗传算法的印刷车间多AGV调度研究
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作者 许路 李宏峰 +3 位作者 高振清 刘玉琴 宋鹏程 刘景域 《印刷与数字媒体技术研究》 CAS 北大核心 2024年第4期268-275,共8页
针对当前印刷车间内印刷品依赖人工搬运、AGV利用率低且多AGV作业时会发生碰撞、死锁等问题,本研究提出了一种改进的遗传算法对AGV的任务分配进行优化。首先,结合印刷车间的实际环境,以AGV搬运任务总时间最少作为目标函数进行建模;其次... 针对当前印刷车间内印刷品依赖人工搬运、AGV利用率低且多AGV作业时会发生碰撞、死锁等问题,本研究提出了一种改进的遗传算法对AGV的任务分配进行优化。首先,结合印刷车间的实际环境,以AGV搬运任务总时间最少作为目标函数进行建模;其次,利用加入了时间窗模型的改进双向A*算法对传统遗传算法进行优化,实现AGV的路径规划与调度管理;最后,利用MATLAB仿真软件对该算法进行仿真验证。对比传统遗传算法与改进遗传算法仿真结果,发现改进后的遗传算法得到的AGV调度结果搬运任务用时比传统遗传算法节省了13%,迭代次数比传统遗传算法减少了42%,因此改进后的遗传算法能更好的实现印刷车间内多AGV的无碰撞运行、路径规划与调度。 展开更多
关键词 车间建模 时间窗模型 遗传算法 任务调度 路径规划
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Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading
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作者 Anurag Sinha Pallab Banerjee +5 位作者 Sharmistha Roy Nitasha Rathore Narendra Pratap Singh Mueen Uddin Maha Abdelhaq Raed Alsaqour 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2024年第4期391-424,共34页
This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Pr... This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task allocation.Utilizing Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task completion.It advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue lengths.The Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative analysis.The research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing. 展开更多
关键词 First come first served(FCFS)scheduling round robin task scheduling queuing model Johnson scheduling algorithm
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A heuristic mixed real-time task allocation of virtual utilization in multi-core processor 被引量:3
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作者 Hongbiao Liu Mengfei Yang +3 位作者 Tingyu Wang Chenghao Song Shenghui Zhu Xi Chen 《Journal of Information and Intelligence》 2023年第2期156-177,共22页
Multi-core processor is widely used as the running platform for safety-critical real-time systems such as spacecraft,and various types of real-time tasks are dynamically added at runtime.In order to improve the utiliz... Multi-core processor is widely used as the running platform for safety-critical real-time systems such as spacecraft,and various types of real-time tasks are dynamically added at runtime.In order to improve the utilization of multi-core processors and ensure the real-time performance of the system,it is necessary to adopt a reasonable real-time task allocation method,but the existing methods are only for single-core processors or the performance is too low to be applicable.Aiming at the task allocation problem when mixed real-time tasks are dynamically added,we propose a heuristic mixed real-time task allocation algorithm of virtual utilization VU-WF(Virtual Utilization Worst Fit)in multi-core processor.First,a 4-tuple task model is established to describe the fixedpoint task and the sporadic task in a unified manner.Then,a VDS(Virtual Deferral Server)for serving execution requests of fixed-point task is constructed and a schedulability test of the mixed task set is derived.Finally,combined with the analysis of VDS's capacity,VU-WF is proposed,which selects cores in ascending order of virtual utilization for the schedulability test.Experiments show that the overall performance of VU-WF is better than available algorithms,not only has a good schedulable ratio and load balancing but also has the lowest runtime overhead.In a 4-core processor,compared with available algorithms of the same schedulability ratio,the load balancing is improved by 73.9%,and the runtime overhead is reduced by 38.3%.In addition,we also develop a visual multi-core mixed task scheduling simulator RT-MCSS(open source)to facilitate the design and verification of multi-core scheduling for users.As the high performance,VU-WF can be widely used in resource-constrained and safety-critical real-time systems,such as spacecraft,self-driving cars,industrial robots,etc. 展开更多
关键词 Mixed real-time task set Multi-core scheduling task dynamical adding Virtual utilization scheduling simulator
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提高数据中心供能中太阳能利用效率的云任务调度优化
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作者 党伟超 王振 薛颂东 《可再生能源》 CAS CSCD 北大核心 2024年第9期1170-1178,共9页
云计算需求在催生数据中心部署应用的同时,造成能耗高和碳排放压力,故云计算环境中可再生能源的高效利用问题被提出。针对太阳能的间歇性非稳特点,文章研究了云任务调度方法来提升数据中心供能中能源利用率。首先,构建预测太阳能产能的... 云计算需求在催生数据中心部署应用的同时,造成能耗高和碳排放压力,故云计算环境中可再生能源的高效利用问题被提出。针对太阳能的间歇性非稳特点,文章研究了云任务调度方法来提升数据中心供能中能源利用率。首先,构建预测太阳能产能的深度自回归模型DeepAR;然后,利用延时容忍型任务和计划工作任务在时间维度上灵活调度的特性,设计云任务调度策略和算法;最后,运用GluonTS框架使用真实任务数据集和太阳能产能数据集进行仿真实验。结果表明,计算负荷与太阳能出力的匹配性得到改善,数据中心太阳能供能的利用率得到提升。 展开更多
关键词 DeepAR模型 时间序列预测 太阳能 云任务 调度
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