. The first method, which is guaranteed to be optimal, reduces running time by structuring the search space so that a modified depth-first search usually avoids even considering allocations that contain conflicting bids. Caching and pruning are also used to speed searching. Our second method is a heuristic

of value. Third, the new economy is networked. At the heart of the connectivity of the global economy and of the exibility of informational production, there is a new form of economic organization, the network enterprise. This is not a network of enterprises. It is a network made from either rms

last for a certain duration. Thus, at each review point, the data center network provider must optimally allocate resources for the demand requests. For this problem, we present a mixed-integer programming (MIP) problem formulation where any request from a VN customer may be assigned to any virtual

configuration. The network is built incrementally exploiting the periodic nature of the communication request timings required by the user missions. The resulting CSP contains temporal binary constraints, linear constraints and disjunctions of binary constraints. Its consistency is checked in two steps: first

(MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability

to precisely forecast the future traffic load to promote network cooperation and adaptive energy resource allocation in complying with the variation of spatial-temporal traffic load has been an emerged issue due to the significant energy exhaustion of BSs. In this paper, we propose a spatial-temporal

Epidemic outbreaks in human populations are facili-tated by the underlying transportation network. We consider strategies for containing a viral spreading pro-cess by optimally allocating a limited budget to three types of protection resources: (i) Traffic control re-sources, (ii), preventative

be used for these purposes because data originating from environmental monitoring networks are clearly not independent. They are sampled from a dynamic process that evolves over space and time. Therefore, the methodology should incorporate this spatio-temporal dependence structure in order to provide

frontier method is used to analyse panel data from 2003 to 2010 in relation with container terminal equipments and throughput. Result of the analysis shows no significant relationship between container terminal size and efficiency. Thus, efficiency is determined from allocation of resources efficiently

with system resources via precisely scaling the time of interactions between containers and physical devices by a factor of n, hence, making an emulated network appear to be n times faster from the viewpoints of applications in the container. In this paper, we develop a lightweight Linux-container