Control reconfiguration

About: Control reconfiguration is a research topic. Over the lifetime, 22423 publications have been published within this topic receiving 334217 citations.

A Taxonomy of Software-Defined Networking (SDN)-Enabled Cloud Computing

Abstract: Software-Defined Networking (SDN) opened up new opportunities in networking with its concept of the segregated control plane from the data-forwarding hardware, which enables the network to be programmable, adjustable, and reconfigurable dynamically. These characteristics can bring numerous benefits to cloud computing, where dynamic changes and reconfiguration are necessary with its on-demand usage pattern. Although researchers have studied utilizing SDN in cloud computing, gaps still exist and need to be explored further. In this article, we propose a taxonomy to depict different aspects of SDN-enabled cloud computing and explain each element in details. The detailed survey of studies utilizing SDN for cloud computing is presented with focus on data center power optimization, traffic engineering, network virtualization, and security. We also present various simulation and empirical evaluation methods that have been developed for SDN-enabled clouds. Finally, we analyze the gap in current research and propose future directions.

Feedback Controlled Colloidal Self-Assembly

Abstract: Colloidal self-assembly provides one promising route to fabricate spatially periodic meta-materials with novel properties important to a number of emerging technologies. However, colloidal assembly is generally initiated via irreversible step-changes and proceeds along unspecified, non-equilibrium kinetic pathways with little opportunity to manipulate defects or reconfigure microstructures. Here, a conceptually new approach that enables the use of feedback control to quantitatively and reversibly guide the dynamic evolution of colloid ensembles between disordered fluid and crystalline configurations is demonstrated. The key to this approach is the use of free energy landscape models to inform feedback control laws that close the loop between real-time sensing (via order parameters) and actuation (via tunable electrical potentials). This approach, which demonstrates controlled assembly to create ordered materials and perform active reconfiguration, is based on chemical physics that suggest it can be generalized to other microscopic processes.

Dynamic topological adaptation

Abstract: Apparatus and methods for reconfiguration of a communication environment based on loading requirements. Network operations are monitored and analyzed to determine loading balance across the network or a portion thereof. Where warranted, the network is reconfigured to balance the load across multiple network entities. For example, in a cellular-type of network, traffic loads and throughput requirements are analyzed for the access points and their user equipment. Where loading imbalances occur, the cell coverage areas of one or more access points can be reconfigured to alleviate bottlenecks or improve balancing.

High-Reliability FPGA-Based Systems: Space, High-Energy Physics, and Beyond This paper highlights the challenges and advances in using reconfigurable systems reliably in harsh environments.

Abstract: Field-programmable gate arrays (FPGAs) have been shown to provide high computational density and effi- ciency for many computing applications by allowing circuits to be customized to any application of interest. FPGAs also sup- port programmability by allowing the circuit to be changed at a later time through reconfiguration. There is great interest in exploiting these benefits in space and other radiation environ- ments. FPGAs, however, are very sensitive to radiation and great care must be taken to properly address the effects of radiation in FPGA-based systems. This paper will highlight the effects of radiation on FPGA-based systems and summarize the challenges in deploying FPGAs in such environments. Several well-known mitigation methods will be described and the unique ability of FPGAs to customize the system for improved reliability will be discussed. Finally, two case studies summa- rizing successful deployment of FPGAs in radiation environ- ments will be presented.