Main goal of this diploma is to create an essential summary of a current state in the field of transneptunian objects. This review enables understanding the findings about the transneptunian objects. The summary creates a review of advance and progress tendency in research in the area of transneptunian objects.

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The ever-growing demand for more computing power forces hardware vendors to put an increasing number of multiprocessors into a single server system, which usually exhibits a non-uniform memory access (NUMA). In-memory database systems running on NUMA platforms face several issues such as the increased latency and the decreased bandwidth when accessing remote main memory. To cope with these NUMA-related issues, a DBMS has to allow flexible data partitioning and data placement at runtime. In this demonstration, we present ERIS, our NUMA-aware in-memory storage engine. ERIS uses an adaptive partitioning approach that exploits the topology of the underlying NUMA platform and significantly reduces NUMA-related issues. We demonstrate throughput numbers and hardware performance counter evaluations of ERIS and a NUMA-unaware index for different workloads and configurations. All experiments are conducted on a standard server system as well as on a system consisting of 64 multiprocessors, 512 cores, and 8 TBs main memory.

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Approved for public release, distribution is unlimited / This thesis examines the process by which enlisted goal shares are generated by Commander, Navy Recruiting Command (CNRC) and assigned to Navy Regional recruiting commands. Through use of an econometric goaling and forecasting model employed by CNRC and a less complicated weighting system used by Regions, goal shares are generated using factors believed to accurately predict future recruiting success. The factors used in the new contract prediction model include local economic conditions, population demographics, and recruiting resources. This thesis evaluates these factors to obtain a clear understanding of how each affects the establishment of goal shares. The various levels within the recruiting organization are analyzed, to include a discussion on how each of these levels prioritizes assigned goals, specifically accessions and new contract objectives, and the reasons why these priorities differ across levels within the organization. The thesis analyzes the role of past production data and Production per Recruiter (PPR) in establishing goal. Recruiter incentives and potential impacts of these incentives on the attainment of quality contracts are also discussed. Finally, the accuracy of CNRC forecasts is evaluated and recommendations are made to help ensure the continued success of these forecasts well into the future. This thesis finds CNRC's goaling forecasts to be quite accurate; however, with more precise data for a few specific variables within the goaling model, it is believed the accuracy of forecasts could be improved. Additionally, this thesis finds that due to current recruiter incentives, recruiters may not be motivated to contract the best possible candidates for enlistment at all times. / Lieutenant, United States Navy