- A New Approach for Task Level Computational Resource Bi ...🔍
- Deep neural network|based application partitioning and scheduling ...🔍
- 李雨森🔍
- Joint Offloading and Resource Allocation for Computation and ...🔍
- Fractional Reuse Partitioning for MIMO Networks🔍
- Optimizing Resource Allocation in Hyperscale Datacenters🔍
- Multi|leader single|follower stackelberg game task offloading and ...🔍
- Joint beamwidth and resource optimization in ultra|dense MmWave ...🔍
Jointly Optimizing Job Assignment and Resource Partitioning for ...
A New Approach for Task Level Computational Resource Bi ...
A crucial step in the design of hardware/software codesign is the allocation of the application's computation onto the gen- eral purpose processor and ...
Deep neural network-based application partitioning and scheduling ...
Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters · ACM Transactions on Architecture and Code ...
Yusen Li (0000-0001-6623-350X) - ORCID
Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters. ACM Transactions on Architecture and Code ...
Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang. Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in ...
Joint Offloading and Resource Allocation for Computation and ...
We propose an efficient three-step algorithm comprising of semidefinite relaxation (SDR), alternat- ing optimization (AO), and sequential tuning (ST). It is ...
Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters. ... GCNPart: Interference-Aware Resource ...
Fractional Reuse Partitioning for MIMO Networks - mediaTUM
In this work we give a universal answer by jointly optimiz- ing resource allocation, transmission strategies, user selection and assignment. Based on a network ...
Optimizing Resource Allocation in Hyperscale Datacenters - USENIX
For example, in the context of cluster management, all tasks are partitioned into jobs and a job is ... replicas, which are grouped together using ...
Multi-leader single-follower stackelberg game task offloading and ...
by jointly optimizing the bandwidth allocation ratio and task partitioning ratio. ... al resources and jointly optimizing the task split ratio and.
Joint beamwidth and resource optimization in ultra-dense MmWave ...
The symbiosis of millimeter wave (mmWave) transmission and Device-to-Device (D2D) communication has become a a promising candidate for temporary or ...
Efficient Partitioning of Sporadic Real-Time Tasks with Shared ...
This heuristic organizes tasks sharing resources into groups in order to assign them to the same processor. In subsequent work, Nemati et al. presented BPA [23] ...
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic ...
In the task allocation phase, we achieve the efficient task allocation by means of a distance-constrained graph pruning strategy for the RL method to make our ...
QoS-based Cloud Resources Partitioning Aware Networked Edge ...
ically, this work considers the problem of optimizing the ... Index Terms—Cloud service, IaaS, edge data-center, cloud provider, resource allocation, optimization ...
Joint Computation Partitioning and Resource Allocation for Latency ...
while computing its optimal partitioning. According to the initial ... It contains two steps: task selection and resource assignment. The naive ...
Joint Resource Allocation Optimization in Space–Air–Ground ... - MDPI
Specifically, we optimize association control, bandwidth allocation, computation task allocation, caching decisions, and the UAV's position to minimize task ...
Resource allocation strategy for blockchain-enabled NOMA-based ...
... optimize them effectively. In [32], the problem of joint work unloading and resource partitioning in NOMA-HetNets is investigated to make ...
DNN Partitioning, Task Offloading, and Resource Allocation ... - arXiv
In this paper, we formulate the problem of joint DNN partitioning, task offloading, and resource allocation in VEC as a dynamic long-term ...
Efficient Map Reduce Task Scheduling and Micro-Partitioning ...
allocating congested hardware to resource-savvy tasks. (despite ... An improved partitioning mechanism for optimizing massive data analysis using mapreduce.
Data partitioning guidance - Azure Architecture Center
Data is divided into partitions that can be managed and accessed separately. Partitioning can improve scalability, reduce contention, and optimize performance.
Improved Task and Resource Partitioning Under the Resource ...
Despite the elegance in theory, there are only simple heuristic assignments for tasks and shared resources. In particular, [8] uses the worst-fit heuris- tic ...