Optimizing virtual machine placement in distributed clouds with M/M/1 servers

Virtual Machine Placement in Computing Clouds

Communication-Aware Traffic Stream Optimization for Virtual Machine Placement in Cloud Datacenters with VL2 Topology

By pervasiveness of cloud computing, a colossal amount of applications from gigantic organizations increasingly tend to rely on cloud services. These demands caused a great number of applications in form of couple of virtual machines (VMs) requests to be executed on data centers’ servers. Some of applications are as big as not possible to be processed upon a single VM. Also, there exists severa...

Resource placement in distributed E-commerce servers

e-Commerce services have become a promising and profitable application of the Internet. In order to keep them growing, solutions must be found to deal with unreliable connections and high latencies, among other problems. The best solutions to such problems tend to depend on the distribution of the service over the network, placing servers in multiple locations, closer to customers. If placement...

Optimizing Program Placement in Virtual Systems

n experimental algorithm for optimizing program placement in virtual storage systems is described. Interprogram linkages are monitored and subsequently analyzed for frequency and proximity. The algorithm evaluates this information within the context of a paging environment. Program lists that define the optimum program placements are then generated. Performance gains are also discussed. As virt...

Virtual Machine Placement Literature Review

Cloud Computing Datacenters host millions of virtual machines (VMs) on real world scenarios. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering also the large number of possible optimization criteria and different formulations that could be studied. VMP literature include relevant topics such as energy-efficie...