Google llc (20240134708). Bin Packing simplified abstract
Contents
- 1 Bin Packing
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Bin Packing - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
Bin Packing
Organization Name
Inventor(s)
Md Ehtesamul Haque of Santa Clara CA (US)
Thomas John Chestna of Middleborough MA (US)
Samuel Justin Smith of Mountain View CA (US)
Pedro Daniel Valenzuela Salvatierra of Santa Clara CA (US)
Olivier Robert Sevin of Winston-Salem NC (US)
Bin Packing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134708 titled 'Bin Packing
Simplified Explanation
The patent application describes a system and method for assigning workloads to candidate host machines in a computing environment based on expected waste scores.
- The method involves receiving a request to schedule a workload.
- Selecting a virtual machine type for executing the workload.
- Determining an expected waste score for each candidate host machine, indicating the likelihood of unused resources.
- Selecting the candidate host machine with the lowest expected waste score.
- Assigning the workload to the selected candidate host machine.
Potential Applications
This technology could be applied in cloud computing environments to optimize resource allocation and improve overall efficiency.
Problems Solved
1. Efficient workload assignment in computing environments. 2. Minimizing resource waste and maximizing resource utilization.
Benefits
1. Improved resource allocation. 2. Increased efficiency in workload scheduling. 3. Cost savings through optimized resource usage.
Potential Commercial Applications
Optimizing workload assignment in cloud computing services for improved performance and cost-effectiveness.
Possible Prior Art
One possible prior art could be the use of load balancing algorithms in distributed computing systems to optimize resource allocation and workload distribution.
Unanswered Questions
How does this method handle dynamic changes in workload demands?
The patent application does not specify how the system adapts to fluctuations in workload demands and whether it can dynamically reassign workloads based on real-time data.
What impact does this method have on overall system performance?
It is not clear from the abstract how the workload assignment method affects the overall performance of the computing environment and whether it leads to any trade-offs in terms of system efficiency or responsiveness.
Original Abstract Submitted
a system and method for assigning a workload to one of a plurality of candidate host machines of a computing environment. the method may include receiving a request to schedule a workload, selecting a virtual machine type for executing the workload, for each candidate host machine of the plurality of candidate host machines, determining an expected waste score indicating a likelihood of resources at the candidate host machine remaining unused if the virtual machine type is assigned to the candidate host machine, selecting the candidate host machine for which the expected waste score is the lowest, and assigning the workload to the selected candidate host machine.
