As the "network of network", the Internet has been playing a central and crucial role in modern society, culture, knowledge, businesses and so on in a period of over two decades by supporting a wide variety of network technologies and applications. However, due to its popularity and multi-provider nature, the future development of the Internet is limited to simple incremental updates. To address this challenge, network virtualization has been propounded as a potential candidate to provide the essential basis for the future Internet architecture. Network virtualization is capable of providing an open and flexible networking environment in which service providers are allowed to dynamically compose multiple coexisting heterogeneous virtual networks on a shared substrate network. Such a flexible environment will foster the deployment of diversified services and applications. A major challenge in network virtualization area is the Virtual Network Embedding (VNE), which aims to statically or dynamically allocate virtual nodes and virtual links on substrate resources, physical nodes and paths. Making effective use of substrate resources requires high-efficient and survivable VNE techniques. The main contribution of this thesis is two high-performance p-Cycle-based survivable virtual network embedding approaches. These approaches take advantage of p-Cycle-based protection techniques that minimize the backup resources while providing a full VN protection scheme against link and node failures.

Multi-radio multi-channel wireless mesh networks (WMNs) have been the focus of numerous research efforts during the past few years. These efforts aimed at extending the utilization of technologies based on the IEEE 802.11 standard in large-scale communities and even for city wide networking. However, mesh nodes in these networks are typically limited in their resources (e.g., bandwidth, power and radio interfaces). Such a limitation has led to an unsatisfactory network performance as well as users dissatisfaction. This dissertation addresses three important performance issues related to WMNs, namely, network performance enhancement, network survivability and green communications. To address the first issue, a novel quality of service (QoS) aware joint channel assignment (CA) and routing algorithm is developed. The proposed algorithm employs both dynamic and static CA techniques and corresponding link schedules that maximize the network throughput and minimize the delay and packet loss ratio. Next, the thesis addresses the problem of network survivability and theoretically analyzes the effects of node failure probabilities on the ability of the remaining network nodes to maintain their connectivity. A tight upper bound on the node failure probabilities needed to maintain full network connectivity on the one hand is first developed. On the other hand, a lower bound, at which the system loses connectivity, is also derived. We show that these bounds are dependent only on the nodes' geometric distribution and density. Based on the premise that failure of nodes in a small area may lead to failure of dependent nodes in other areas due to the quick divergence of traffic in these areas, an efficient node failure backup scheme is presented. The scheme relies on the capacity of the surviving network components in order to find new paths that do not overload the neighbours of the failed node which reduces the probability of generating congestion. Finally, the thesis addresses the problem of realizing energy-efficient WMNs that can operate using renewable energy sources. In these systems, batteries are often used to store and regulate the use of the supplied green energy to transmit the received data at each network router in order to overcome the problem of supply fluctuating of various energy sources. To realize these networks, the behaviour of the residual energy of the battery at a heavily loaded green wireless mesh node with a general traffic arrival and energy charging functions is first analyzed. Based on obtained theoretical results, both an online and an offline QoS aware packet scheduling schemes are proposed to minimize the probability of depleting the battery. Each of the aforementioned contributions is supported with various experimental evaluations to demonstrate the achieved performance enhancements.

Small business owners generate jobs within the local community, but half of new business owners often fail to sustain operations for the first five years. The purpose of this qualitative descriptive study was to explore strategies that small business owners in central Texas used to sustain their businesses beyond the first 5 years. Schumpeter's theory of economic development grounded the study. Data collection included semistructured face-to-face interviews with a purposeful sample of 20 small business owners due to their success in creating strategies resulting in sustaining their businesses beyond 5 years in a postrecession business environment. All interpretations from the interview data included member checking to validate the credibility of the findings. Using the van Kamm method for thematic analysis, four themes emerged that included conducting business near federal and state organizations, having a business mentor, improving competitive positioning by focusing on improving both the quality of goods and services as well as innovating the customer experience, and adapting to rapidly changing economic conditions and destabilizing events with optimism and perseverance. Of these, the two most successful strategies entrepreneurs employed to improve survivability was conducting business near federal and state organizations with concentrated levels of workforce employees for sustained levels of returning business, as well as having one or more business mentors as an external source of entrepreneurial mentorship or information. Social change implications for small business owners include the potential to provide new strategies for small business sustainability, reductions in local unemployment rates, and improved community-based networks.

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The goal of this dissertation was to understand the issue of load in a more operationally realistic way, while examining underlying segmental relations and postural regulation related to functional capability. The ecological approach provides a foundation for this work, as its approach seeks understanding across nested relations and at the level of the Organism-Environment system. First, a landing task was used to examine transitions from movement to upright stance, evaluating the effects of load on changes relevant to prospective control of action. Greater negative head angles, reductions in the field of regard, and reduced variability in orienting coordination (trunk-head relations) under load all suggest reductions in the postural affordances for visual perception. The heaviest load was not the worst; as the asymmetrically loaded Vest configuration had greater negative effects on postural affordances. This was further supported by the increased power and frequency content in the Center of Pressure dynamics, suggesting much more difficult postural regulation in this configuration. The second study examined the effects of load on dynamic marksmanship performance using large loads on the torso and small loads on the extremities (night vision goggles and extremity armor on the arms) while establishing two different postures determined by target placement. Load and Posture both had negative impacts on the speed-accuracy trade-off, with larger loads affecting gross postural transitions and smaller loads degrading fine-aiming performance. The more challenging posture degraded accuracy on target substantially, suggesting that reorientation of multiple segments may be necessary for assessing the consequences of load on marksmanship performance. Increases in the total coordinative variability of Head-Trunk-Gun relations with load at a high target suggests that increased inertial and interactive forces during movement "push" the system out of the optimal segmental relations. Moreover, the results from Postural-Focal coupling suggest that load "freezes" previously available degrees of freedom, making the system more deterministic and less flexible in goal-directed achievement. The two previous paradigms are joined in the third study to understand perception-action coupling during movement cessation to marksmanship transitions, a ubiquitous task in combat. Increased time to discriminate targets was found with load and was related to peak head velocities and the inability to dissipate energy at the head/eyes under load. Again, Load and Posture had significant effects on the speed-accuracy trade-off, especially at the load most similar to that seen in current missions. Segmental coordination in this effort ballasts the findings in study 2, as significant shifts from optimal Head-Trunk-Gun relations were observed with load as well as increased variability that was detrimental to task performance. This dissertation demonstrates that science can be "Operationalized" in a way that maintains scientific integrity during complex task analysis; providing additional insight into the issue of load across multiple scales of analysis related to functional capability and survivability in combat and others encumbered by load.

Future naval ships will be all-electric, with an integrated power system that combines the propulsion power system with the rest of the ship?s electrical distribution system. Reconfiguration of the power system will increase fight-through and survivability of ships, but will also require the systems that support the power system, such as the protection system, to be automatically updated to match current power system needs. This thesis presents an adaptive relaying scheme for shipboard power systems, to automatically modify relay settings after power system topology changes. Multiple Groups of relay settings are predetermined and stored in the digital relays that are protecting the power system. The active Group of settings is automatically determined based on the open/close status of breakers and switches. The developed protection scheme is tested on two test cases by digital simulation using CAPE software and on one case by closed-loop simulation with RTDS and SEL-351S relays.

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