TL;DR: A brief overview of NFV is provided, its requirements and architectural framework are explained, several use cases are presented, and the challenges and future directions in this burgeoning research area are discussed.
Abstract: Network function virtualization was recently proposed to improve the flexibility of network service provisioning and reduce the time to market of new services. By leveraging virtualization technologies and commercial off-the-shelf programmable hardware, such as general-purpose servers, storage, and switches, NFV decouples the software implementation of network functions from the underlying hardware. As an emerging technology, NFV brings several challenges to network operators, such as the guarantee of network performance for virtual appliances, their dynamic instantiation and migration, and their efficient placement. In this article, we provide a brief overview of NFV, explain its requirements and architectural framework, present several use cases, and discuss the challenges and future directions in this burgeoning research area.
TL;DR: This work implements and validate a dynamic resource provisioning framework for virtualized server environments wherein the provisioning problem is posed as one of sequential optimization under uncertainty and solved using a lookahead control scheme.
Abstract: There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a promising approach to consolidating multiple online services onto a smaller number of computing resources. A virtualized server environment allows computing resources to be shared among multiple performance-isolated platforms called virtual machines. By dynamically provisioning virtual machines, consolidating the workload, and turning servers on and off as needed, data center operators can maintain the desired quality-of-service (QoS) while achieving higher server utilization and energy efficiency. We implement and validate a dynamic resource provisioning framework for virtualized server environments wherein the provisioning problem is posed as one of sequential optimization under uncertainty and solved using a lookahead control scheme. The proposed approach accounts for the switching costs incurred while provisioning virtual machines and explicitly encodes the corresponding risk in the optimization problem. Experiments using the Trade6 enterprise application show that a server cluster managed by the controller conserves, on average, 22% of the power required by a system without dynamic control while still maintaining QoS goals. Finally, we use trace-based simulations to analyze controller performance on server clusters larger than our testbed, and show how concepts from approximation theory can be used to further reduce the computational burden of controlling large systems.
TL;DR: In this paper, a system and method for provisioning a two-way mobile communications device having a display screen and user interface that is initiated from the device to be provisioned is presented.
Abstract: A system and method for provisioning a two-way mobile communications device having a display screen and user interface that is initiated from the device to be provisioned. The device to be provisioned establishes a secure communications session with a provisioning server device. The subject communications path may utilize an intermediate server device. The user of the device is then presented with a plurality of input and choice screens, which may be used in conjunction with the user interface to provide user information, select device features and services. The user information and selected feature and service requests are then forwarded to the provisioning server device. The provisioning server device processes the received information and generates provisioning packages, registration requests, and notifications for the subject mobile device and for any associated server device providing services. The provisioning packages may comprise software modules, parameters and any required security information.
TL;DR: This work has designed and implemented a virtualization architecture that can host multiple unmodified guest operating systems that outperforms contemporary full virtualization environments and reduces the attack surface significantly and thereby increases the overall security of the system.
Abstract: The availability of virtualization features in modern CPUs has reinforced the trend of consolidating multiple guest operating systems on top of a hypervisor in order to improve platform-resource utilization and reduce the total cost of ownership. However, today's virtualization stacks are unduly large and therefore prone to attacks. If an adversary manages to compromise the hypervisor, subverting the security of all hosted operating systems is easy. We show how a thin and simple virtualization layer reduces the attack surface significantly and thereby increases the overall security of the system. We have designed and implemented a virtualization architecture that can host multiple unmodified guest operating systems. Its trusted computing base is at least an order of magnitude smaller than that of existing systems. Furthermore, on recent hardware, our implementation outperforms contemporary full virtualization environments.
TL;DR: In this article, a management tool that streamlines the server allocation and provisioning processes within a data center is provided, which divides the server provisioning and allocation into two separate tasks.
Abstract: A management tool that streamlines the server allocation and provisioning processes within a data center is provided. The system, method, and computer program product divide the server provisioning and allocation into two separate tasks. Provisioning a server is accomplished by generating a fully configured, bootable system image, complete with network address assignments, virtual LAN (VLAN) configuration, load balancing configuration, and the like. System images are stored in a storage repository and are accessible to more than one server. Allocation is accomplished using a switching mechanism which matches each server with an appropriate system image based upon current configuration or requirements of the data center. Thus, real-time provisioning and allocation of servers in the form of automated responses to changing conditions within the data center is possible. The ability to instantly re-provision servers, safely and securely switch under-utilized server capacity to more productive tasks, and improve server utilization is also provided.