A Quantitative Approach to Foreign Market Selection for Digital Platform Companies
In: INTMAN-D-23-00468
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In: INTMAN-D-23-00468
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In: International Geology Review, Band 39, Heft 8, S. 688-702
In: International Geology Review, Band 42, Heft 4, S. 368-383
In: Palgrave's Critical Policing Studies
Imperial Regimes -- Chapter 1: Uruguayan Police in the Age of Conservative Hegemony by Rafael Paternain -- Chapter 2: Securing Citizens, Pacifying Subjects and Criminalizing "Others": The Dark Side of Community Policing in Latin America by Markus-Michael Müller -- Chapter 3: Tribal Law and Order and the Settler-Colonial Logics of Reservation Policing by Theresa Rocha Beardall -- Colonial Organizations -- Chapter 4: Policing Immigrant Communities: An Assessment of State Sanctioned Violence in the Name of Migration Control by Mercedes Valadez and Jennifer Noble -- Chapter 5: Techniques and Technologies: The Military Expansion of São Paulo's Municipal Civil Guard by José Douglas dos Santos Silva -- Chapter 6: Policing in Puerto Rico: Reforms of the Twenty First Century, by Xavier Perez and Jhon Sanabria -- Repressive Encounters -- Chapter 7: Nos Quedamos Marcados: The Carceral Regime's Ripple Effect on Mexican Families by Marlene Mercado -- Chapter 8: How Black Genocide Happens: Military Patronage, Policing, and the Coloniality of Gender in Rio de Janeiro Favelas by Carla dos Santos Mattos -- Chapter 9: The Criminology of State Violence will include interviews with critical theorists, Biko Agozino and Guillermina Seri -- Chapter 10: Counter-Colonial Methods includes interviews with critical methodologists, Robert Duran and Nicolas Barrera -- Chapter 11: Between Accountability and Alternatives is an interview with police reformers, Jhon Sanabria and Bernardo Gill.
Future 5G deployments will support a flexible split of Base Station (BS) functions, i.e., it will be possible to decide which atomic operations will be co-located on the edge and which ones will be processed on a Central Unit (CU). Thus, network owners will be able to decide how much centralization they would like to retain in different deployments. However, deciding which BS components should be offloaded to a CU becomes a challenge because routing and BS function placement choices are coupled. We present WizHaul, a software framework enabling the implementation of a centralized functional split decision- making engine for future 5G networks. The purpose of WizHaul is twofold. First, it may be used in a network planning phase to settle the optimal amount of centralization. Second, it may also be used to support network automation/adaptation scenarios where network failures or congestion in the cloud may draw the current configuration infeasible. ; This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 761536 (5G-Transformer project).
BASE
IEEE INFOCOM 2017 - IEEE Conference on Computer Communications ; Abstract. The emerging network slicing paradigm for 5G provides new business opportunities by enabling multi-tenancy support. At the same time, new technical challenges are introduced, as novel resource allocation algorithms are required to accommodate different business models. In particular, infrastructure providers need to implement radically new admission control policies to decide on network slices requests depending on their Service Level Agreements (SLA). When implementing such admission control policies, infrastructure providers may apply forecasting techniques in order to adjust the allocated slice resources so as to optimize the network utilization while meeting network slices' SLAs. This paper focuses on the design of three key network slicing building blocks responsible for (i) traffic analysis and prediction per network slice, (ii) admission control decisions for network slice requests, and (iii) adaptive correction of the forecasted load based on measured deviations. Our results show very substantial potential gains in terms of system utilization as well as a trade-off between conservative forecasting configurations versus more aggressive ones (higher gains, SLA risk) ; This work has been partially funded by the European Union's Horizon 2020 research and innovation programme under the grant agreement No. 671584 5GNORMA.
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