Table of Contents
- 1 What is container bin packing?
- 2 Why should there be a plan for bin packing?
- 3 What is 2D bin packing problem?
- 4 How do you solve packing problems?
- 5 What is the best bin packing algorithm?
- 6 What is the meaning of packing?
- 7 How does Kubernetes do Service Discovery?
- 8 What does it mean to say that Kubernetes supports automatic resource bin packing?
What is container bin packing?
Bin packing involves packing a set of items of different sizes in containers of various sizes. The size of the container shouldn’t be bigger than the size of the objects. The goal is to pack as many items as possible in the least number of containers possible.
Why should there be a plan for bin packing?
The objective is to minimize the number of bins used to pack all the items. Applications of the bin packing problem are wide ranging and include loading trucks, scheduling tasks, manufacturing items from resources, and placing files of specified sizes into memory.
What is packing problem in math?
packing, in mathematics, a type of problem in combinatorial geometry that involves placement of figures of a given size or shape within another given figure—with greatest economy or subject to some other restriction.
What is 2D bin packing problem?
The two-dimensional bin packing problem (2D-BPP) consists of packing without overlap, a set I of two-dimensional rectangular items into the minimum number of two-dimensional rectangular bins [1–3]. Example for 2D-BPP. Optimal configuration for an instance from [4] with two bins and more than 50 items.
How do you solve packing problems?
For numerical packing problems, see Knapsack problem.
- Spheres or circles packed loosely (top) and more densely (bottom)
- The hexagonal packing of circles on a 2-dimensional Euclidean plane.
- The optimal packing of 10 circles in a circle.
What is bin packing in Kubernetes?
Automatic bin packing: You provide Kubernetes with a cluster of nodes that it can use to run containerized tasks. You tell Kubernetes how much CPU and memory (RAM) each container needs. Kubernetes can fit containers onto your nodes to make the best use of your resources.
What is the best bin packing algorithm?
The best existing algorithm for optimal bin packing is due to Martello and Toth (Martello & Toth 1990a; 1990b). We present a new algorithm for optimal bin packing, which we call bin completion, that explores a different problem space, and appears to be asymptotically faster than the Martello and Toth algorithm.
What is the meaning of packing?
1a : the action or process of packing something also : a method of packing. b : the processing of food and especially meat for future sale. 2 : material (such as a covering or stuffing) used to protect packed goods (as for shipping) also : material used for making airtight or watertight packing for a faucet.
What is vector bin packing?
We consider a variant of bin packing called multiple-choice vector bin packing. In this problem, we are given a set of items, where each item can be selected in one of several -dimensional incarnations. Our goal is to pack the items in a set of bins of minimum overall cost.
How does Kubernetes do Service Discovery?
A single pod or a ReplicaSet may be exposed to internal or external clients via services, which associate a set of pods with a specific criterion. Any pod whose labels match the selector defined in the service manifest will automatically be discovered by the service.
What does it mean to say that Kubernetes supports automatic resource bin packing?
Enabling Bin Packing using RequestedToCapacityRatioResourceAllocation. Kubernetes allows the users to specify the resources along with weights for each resource to score nodes based on the request to capacity ratio.