Resource Scheduling Algorithm and Ecnomic Model in ForCES Networks[omnet++code]

Resource Scheduling Algorithm and Ecnomic Model in ForCES Networks

Resource Scheduling Algorithm and Ecnomic Model in ForCES Networks The traditional Internet structure follows the design principle-“core is simple, and edge is smart”, so the network intelligence is always deployed at the terminal of network edge. However, with the rapid development of network technology, a large number of new access technologies come out, as well as new heterogeneous network and new applications. Resource Scheduling Algorithm and Ecnomic Model in ForCES Networks[omnet++code]These new technologies and Resource Scheduling Algorithm and Ecnomic Model in ForCES Networksapplication

s not only promote the progress of the entire field of communication, but also make the traditional Internet structure face enormous challenges. In addition, the users who wants to establish a set of IT system has to Resource Scheduling Algorithm and Ecnomic Model in ForCES Networkspurchase the infrastructure such as broadband, hardware, and the appropriate software. Moreover, users also needs a professional team of workers who can maintenance the IT systems. Therefore, a large number of hardware, software, personnel and maintenance will bring a high expenditure to users.

 

Resource Scheduling Algorithm and Ecnomic Model in ForCES Networks

 

The emergence of cloud computing not only makes a good integration of existing heterogeneous network resources, but also provides a large number of new services easilySo, users do not need Resource Scheduling Algorithm and Ecnomic Model in ForCES Networksto worry about the high costs of hardware and workers for the completion of their business any more. And task scheduling is inevitable in the implementation of cloud computing, which affects the utilization Resource Scheduling Algorithm and Ecnomic Model in ForCES Networksof resources and the overall effectiveness directly. In the cloud computing system, cloud users only care about whether their requirements can be guaranteed, whether their interests can be achieved, and whether the service is convenient; providers of cloud computing also hope to meet users and reduce overhead costs to gain more profit at the same time via some certain scheduling policies. At home and abroad, many studies have concentrated resource scheduling on cloud computing through various algorithms to maximize the ability of cloud computing hardware resources. Though our group’s study, ForCES is a new kind of network structure.

The idea, separation of control elements and forwarding elements, provides conditions to achieve virtualization. And in our ForCES systems, virtual technology application is in favor of a better the fault redundancy and resource management. So we want to combine the existing ForCES structure with cloud computing. That is, we make use of virtualization technology to map and deploy physical resources with rational management to use resources more efficiently. The core of parallel distributed systems based on the ForCES framework is that CE(Control Element) schedules and manages LFB(Logic Function Block) resource of multi-FE(Forwarding Element) through ForCES protocolshown Our paper proposes ForCES resource management system based on economic model in Section II; In Section III, we analyze the resource scheduling model of cloud computing, propose ForCES resource scheduling model based on cloud computing; In section IV, we propose an DABP resources scheduling algorithm for section II; In section V, we compare DABP algorithm with DP algorithm and BP algorithm in simulation; Then, we conclude this paper in Section VI.