Efficient Virtual Network Embedding Algorithm Based on Restrictive Selection and Optimization Theory Approach

Network virtualization(NV) is widely considered as a key component of the future network and promises to allow multiple virtual networks(VNs) with different protocols to coexist on a shared substrate network(SN). One main challenge in NV is virtual network embedding(VNE). VNE is a NPhard problem. Previous VNE algorithms in the literature are mostly heuristic, while the remaining algorithms are exact. Heuristic algorithms aim to find a feasible embedding of each VN, not optimal or sub-optimal, in polynomial time. Though presenting the optimal or sub-optimal embedding per VN, exact algorithms are too time-consuming in smallscaled networks, not to mention moderately sized networks. To make a trade-off between the heuristic and the exact, this paper presents an effective algorithm, labeled as VNE-RSOT(Restrictive Selection and Optimization Theory), to solve the VNE problem. The VNERSOT can embed virtual nodes and links per VN simultaneously. The restrictive selection contributes to selecting candidate substrate nodes and paths and largely cuts down on the number of integer variables, used in the following optimization theory approach. The VNE-RSOT fights to minimize substrate resource consumption and accommodates more VNs. To highlight the efficiency of VNERSOT, a simulation against typical and stateof-art heuristic algorithms and a pure exact algorithm is made. Numerical results reveal that virtual network request(VNR) acceptance ratio of VNE-RSOT is, at least, 10% higher than the best-behaved heuristic. Other metrics, such as the execution time, are also plotted to emphasize and highlight the efficiency of VNE-RSOT.

The Governance Model for Entrepreneurial Enterprises:A Study Based on Dynamic Ownership Governance Platform

When human capital becomes the most important strategic capital,an entrepreneurial enterprise has to reform and innovate its corporate governance around human capital and its dynamism so as to acquire the capacity of sustainable endogenous growth.This article is intended to discuss the meaning and adaptability of Huawei’s characteristic systems and mechanisms and then proceeds to introduce the general design of entrepreneurial enterprises'dynamic ownership governance platform and the possible effect of corporate governance.Subject to existing Chinese laws and regulations and with full consideration of the dynamics of human capital,this article recommends an entrepreneurial enterprise to set up a dynamic ownership governance platform,innovate and optimize its corporate governance structure and relevant mechanisms and promote the gradual socialization of its founder/founding team’s rights to earnings,control and management;then put in place scientific and proper counterbalance mechanisms in accordance with the principle of separation of powers and incentive compatibility,reform its selection of managing staff and introduce market mechanisms to promote fair competition and dynamic incentive compatibility between its founder/founding team and other key stakeholders.This article is meant to facilitate an entrepreneurial enterprise to turn to socialization corporate governance,and acquire the motivation and gradually form the capacity for endogenous growth.