Jointly Optimizing Job Assignment and Resource Partitioning for ...

JointOPT uses a local search based algorithm to find the near optimal job assignment configuration, and uses a deep reinforcement learning (DRL) ...

Request PDF | Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters | Colocating multiple jobs on ...

‪Ruobing Chen‬ - ‪Google 学术搜索‬

Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters. R Chen, H Shi, J Wu, Y Li, X Liu, G Wang. ACM ...

Joint optimization of application placement and resource allocation ...

In this paper, we introduce the place and allocate problem in heterogeneous multi-server systems, a novel approach aiming at simultaneously ...

OLPart: Online Learning based Resource Partitioning for Colocating ...

Colocating multiple jobs on the same server has been a commonly used approach for improving resource utilization in cloud environments.

Joint Job Partitioning and Collaborative Computation Offloading for ...

... Computation latency was minimized by optimizing task assignment jointly with the time for task offloading and results downloading, subject to the individual ...

Joint Task Partitioning and Parallel Scheduling in Device-Assisted ...

An efficient online algorithm that addresses the joint optimization of task partitioning ... Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile- ...

Joint Task Partitioning and Parallel Scheduling in Device-Assisted ...

Bai, “Hermes: Latency optimal task assignment for resource-constrained mobile computing,”. IEEE Trans. Mobile Comput., vol. 16, no. 11, pp ...

Optimized partitioning and priority assignment of real-time ...

References (73) · Efficient algorithms for task mapping on heterogeneous cpu/gpu platforms for fast completion time · J. · Assigning real-time tasks to ...

Joint Task Partitioning and User Association for Latency ... - NSF PAR

To address this challenge, the design of task offloading strategy and the optimization of resource allocation among users served by an MEC server have been.

Joint Task Offloading and Resource Allocation in Heterogeneous ...

[11] proposes a reinforcement learning-based algorithm for choosing decision variables. [10] applies Lya- punov optimization to the proposed problem. [12] ...

[PDF] A coordinated multi-agent reinforcement learning approach to ...

Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters · Computer Science, Engineering. ACM ...

Task Partitioning and User Association for Latency Minimization in ...

joint optimization of user association and resource allocation was carried out to minimize the total energy consumption. In contrast to these works, we aim ...

Optimized Partitioning and Priority Assignment of Real-Time ...

The resulting analysis is linearized and used to encode an optimization problem that jointly (i) guarantees timing constraints,. (ii) finds a suitable task-to- ...

Multi-Level Partitioning and Distribution of the Assignment Problem ...

robot-task pairs are clustered together to produce an abstracted ... independently evaluate the available tasks and occupies the optimal one as the assignment.

Towards optimized scheduling and allocation of heterogeneous ...

Then, we treat subtasks and independent tasks as basic task units while considering virtual or physical devices as resource units. Based on this ...

Optimal Code Partitioning Over Time and Hierarchical Cloudlets

the first scenario aims at finding an optimal task scheduling for given radio parameters. In the second scenario, we investigate joint optimization of task.

Computer Communications

The au- thors of [21] investigate joint user association and resource partitioning ... We formulate the problem of joint user assignment and resource allocation ...

Optimal Resource Allocation Design for Large IRS-Assisted SWIPT ...

Given a transmission mode set, we aim to minimize the total base station (BS) transmit power by jointly optimizing the beamforming and the ...

Solving Large-Scale Granular Resource Allocation Problems ...

... job should spend on each resource type by solving an optimization problem. ... Simple partitioning problem where jobs are assigned servers (or resources).