High-Throughput Bin Packing: Scheduling Jobs With Random Resource Demands in Clusters

Author:

Psychasand Konstantinos1ORCID,Ghaderi Javad1ORCID

Affiliation:

1. Department of Electrical Engineering, Columbia University, New York, NY, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Near-Optimal Stochastic Bin-Packing in Large Service Systems with Time-Varying Item Sizes;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2023-12-07

2. Scheduling Policies for Stability and Optimal Server Running Cost in Cloud Computing Platforms;IEEE Transactions on Network and Service Management;2023-03

3. A Survey on Scheduling Techniques in Computing and Network Convergence;IEEE Communications Surveys & Tutorials;2023

4. Application Scheduling With Multiplexed Sensing of Monitoring Points in Multi-Purpose IoT Wireless Sensor Networks;IEEE Transactions on Network and Service Management;2023

5. Divide (CPU Load) and Conquer: Semi-Flexible Cloud Resource Allocation;2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid);2022-05

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