Nowadays/cloud computing has become a popular platform for scientific applications. Cloud computing intends to share a large number of resources such as equipments for storage and computation, and information and knowledge for scientific researches. Job scheduling algorithm is one of the most challenging theoretical issues in the cloud computing area. How to use cloud computing resources efficiently and increase user satisfaction with jobs scheduling system is one of the cloud computing service providers important goals. Some intensive researches have been done in the area of job scheduling of cloud computing. In this paper we have proposed Greedy-Based Algorithm in cloud computing. In order to prove our opinions we will process this artical as the following steps. First of all, we will classify tasks based on QoS. Then, according to the tasks categories, we will select the appropriate branch of the function and compute the justice evaluation. This will also reflects the greedy algorithm to select local optimum. Compare to other methods, it can decrease the completion time of submitted jobs and increases the user satisfaction.

Along with the rapid development of electronic products, there is a large amount of electronic waste, such as hundreds of millions of mobile phones and junk personal computers, which is not only a waste, but also a tremendous damage to the environment. The article presents a technique of reusing the electronic waste for the smart home monitoring system. It also describes how to set up the prototype of the system. Compared with the present normal household monitoring system, the technique will save lots of expenditure. And it can effectively reduce the cost in protecting the environment. Especially it can promote the smart home into ordinary homes better as well as faster.

No abstract

No abstract

No abstract