Abstract
The core problem of cloud computing is to deal with the dynamic scheduling problem of physical and virtual resource, which can be regarded as a new problem in cloud computing, in order to achieve energy saving and emission reduction with high performance and low investment as well as some other targets. In this study, it takes the overview of the cloud computing technology as the cutting point, with the help of the interpretation of computing food resource scheduling under the environment of cloud, discussing the implementation of cloud computing task scheduling with optimization method of genetic algorithm.
Highlights
With the development of cloud computing in various areas, there are a variety of problems occurred such as food resource management (Ye, 2011), food resource scheduling and security mechanism and so on, which are reflected day by day, while the strategy of scheduling virtual food resource has become the core issue of cloud computing research (Tan et al, 2011; Mark et al, 2011)
Food resource scheduling in cloud computing environment: Food resource scheduling refers to the process that applied the available food resource to the requested task with food resource assignment, so as to ensure the efficiency of finishing task and keep the load of food resource balanced with the premise of completing tasks
Map/Reduce is by using the distributed parallel algorithm, to deal with a programming model for large data sets in clusters, it is a kind of common food resource scheduling model, which is widely used, Map/Reduce mainly consists of a Map process and a Reduce process, the Map process can divide tasks into smaller sub-tasks and assign them to the working nodes, after the implementation of task, the working nodes can return the results to the main nodes, when the main nodes receive the inputting tasks
Summary
With the development of cloud computing in various areas, there are a variety of problems occurred such as food resource management (Ye, 2011), food resource scheduling and security mechanism and so on, which are reflected day by day, while the strategy of scheduling virtual food resource has become the core issue of cloud computing research (Tan et al, 2011; Mark et al, 2011). The essence of scheduling food resource is to find out the appropriate resources and make reasonable distribution for a large number of requests, so as to meet the request of task, optimize time and improve the utilization rate of resources as far as possible (Bezdek and Pal, 1992)
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