Resource Allocation Control Research Articles

Guest Editorial Special Issue on UAV Communications in 5G and Beyond Networks—Part II

Wireless communication is an essential technology to unlock the full potential of unmanned aerial vehicles (UAVs) in numerous applications and has thus received unprecedented attention recently. Although technologies such as direct link, WiFi, and satellite communications are still useful in some remote scenarios where cellular services are unavailable, it is believed that exploiting the thriving 5G and beyond cellular networks to support UAV communications is the most promising and cost-effective approach, especially when the number of UAVs grows dramatically. On the one hand, to guarantee safe and efficient flight operations of multiple UAVs, it is of paramount importance to provide secure and ultra-reliable communication links between the UAVs and their ground pilots or control stations for conveying command and control signals, especially in beyond-visual-line-of-sight (BVLOS) scenarios. On the other hand, because of advances in communication equipment miniaturization as well as UAV manufacturing, mounting compact and lightweight base stations (BSs) or relays on UAVs becomes increasingly feasible. This has led to two promising research paradigms for UAV communications, namely, UAV-assisted cellular communications and cellular-connected UAVs, where UAVs are integrated into cellular networks as aerial communication platforms and aerial users, respectively. As such, integrating UAVs into cellular networks is believed to be a win-win technology for both UAV-related industries and cellular network operators, which not only creates plenty of new business opportunities but also benefits the communication performance of 3-D wireless networks. In addition, UAV related sensing and computing are also helpful for achieving efficient and reliable communication (e.g., in avoiding coverage holes) as well as smart UAV coordination, positioning, and trajectory design. However, 5G and beyond wireless networks with UAVs significantly differs from traditional communication systems, because of the high altitude and high maneuverability of UAVs, the unique UAV-ground channels, the diversified quality of service (QoS) requirements for downlink command and control (C&C) and uplink mission-related data transmission, the stringent constraints imposed by the size, weight, and power (SWAP) limitations of UAVs, as well as the new design degrees of freedom enabled by joint UAV mobility control and communication resource allocation.

Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs

Millimeter wave (mmWave) communication systems using adaptive-resolution analog-to-digital converters (RADCs) have recently drawn considerable interests from the research community as benefit of their high energy efficiency and low implementation cost. In this paper, we focus on the mmWave uplink using RADCs and investigate the joint user scheduling and resource allocation problem. Specifically, we seek to maximize the system throughput of the scheduled users by jointly optimizing their transmit power level and hybrid combiners as well as the number of quantization bits, subject to practical constraints. By relying on fractional programming (FP) techniques, we first covert this problem into a form amenable to optimization and exploit the specific structures in its solutions with the aid of the so-called Ky Fan <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$n$</tex-math></inline-formula> -norm.Then, the resultant optimization problem is solved using a penalty block successive concave approximation (P-BSCA) algorithm. Our numerical results reveal that the proposed algorithm substantially enhances the throughput of the scheduled users compared to the state-of-the-art benchmark schemes and provides more flexible and efficient resource allocation control.

Cellular resource allocation strategies for cell size and shape control in bacteria.

Bacteria are highly adaptive microorganisms that thrive in a wide range of growth conditions via changes in cell morphologies and macromolecular composition. How bacterial morphologies are regulated in diverse environmental conditions is a long-standing question. Regulation of cell size and shape implies control mechanisms that couple the growth and division of bacteria to their cellular environment and macromolecular composition. In the past decade, simple quantitative laws have emerged that connect cell growth to proteomic composition and the nutrient availability. However, the relationships between cell size, shape, and growth physiology remain challenging to disentangle and unifying models are lacking. In this review, we focus on regulatory models of cell size control that reveal the connections between bacterial cell morphology and growth physiology. In particular, we discuss how changes in nutrient conditions and translational perturbations regulate the cell size, growth rate, and proteome composition. Integrating quantitative models with experimental data, we identify the physiological principles of bacterial size regulation, and discuss the optimization strategies of cellular resource allocation for size control.

Advances in parallel and distributed computing and its applications

Advances in parallel and distributed computing and its applications

Guest Editorial Special Issue on UAV Communications in 5G and Beyond Networks—Part I

Wireless communication is an essential technology to unlock the full potential of unmanned aerial vehicles (UAVs) in numerous applications and has thus received unprecedented attention recently. Although technologies such as direct link, WiFi, and satellite communications are still useful in some remote scenarios where cellular services are unavailable, it is believed that exploiting the thriving 5G and beyond cellular networks to support UAV communications is the most promising and cost-effective approach, especially when the number of UAVs grows dramatically. On the one hand, to guarantee safe and efficient flight operations of multiple UAVs, it is of paramount importance to provide secure and ultra-reliable communication links between the UAVs and their ground pilots or control stations for conveying command and control signals, especially in beyond-visual-line-of-sight (BVLOS) scenarios. On the other hand, because of advances in communication equipment miniaturization as well as UAV manufacturing, mounting compact and lightweight base stations (BSs) or relays on UAVs becomes increasingly feasible. This has led to two promising research paradigms for UAV communications, namely, UAV-assisted cellular communications and cellular-connected UAVs, where UAVs are integrated into cellular networks as aerial communication platforms and aerial users, respectively. As such, integrating UAVs into cellular networks is believed to be a win-win technology for both UAV-related industries and cellular network operators, which not only creates plenty of new business opportunities but also benefits the communication performance of 3-D wireless networks. In addition, UAV related sensing and computing are also helpful for achieving efficient and reliable communication (e.g., in avoiding coverage holes) as well as smart UAV coordination, positioning, and trajectory design. However, 5G and beyond wireless networks with UAVs significantly differs from traditional communication systems, because of the high altitude and high maneuverability of UAVs, the unique UAV-ground channels, the diversified quality of service (QoS) requirements for downlink command and control (C&C) and uplink mission-related data transmission, the stringent constraints imposed by the size, weight, and power (SWAP) limitations of UAVs, as well as the new design degrees of freedom enabled by joint UAV mobility control and communication resource allocation.

Patronage or policy? The politics of property rights formalization in Kenya

Scholarship on African and other developing societies often argues that governments allocate private goods as political patronage, but recent work has called this assumption into question. In this study, I argue that clientelism is a political strategy that emerges only under certain conditions. In a least likely case of land allocation in Kenya, where the literature assumes clientelism to predominate, I ask under what conditions do states distribute resources to fulfil programmatic policy needs versus clientelistic goals? To answer this question, I use a historical process tracing approach that triangulates descriptive data from an original dataset on land allocation programs in Kenya from 1953 until 2017 with archival research and semi-structured interviews. I find that the choice between policy and patronage depends on two domestic conditions: a) the interaction between national political competition and regime type and b) the state’s ability to control resources vis-a-vis local competitors. In an authoritarian regime, competition is conducive to clientelism, but in a democratic regime, competition may well produce programmatic policy, while local actors’ challenges to centralized resource allocation reduce a government’s ability to use clientelism and favor programmatic allocation as ruling elites struggle to control resource allocation for their own political ends. I conclude that the allocation of rights to land in Kenya demonstrates that politics in developing countries occurs in a hybrid neopatrimonial system rather than a purely patronage-based one, in which changes in politics can alter how a government distributes resources. This has ramifications for how scholars and practitioners must rethink questions of property rights, corruption, political linkages and development in many countries where we assume that private goods are allocated on a clientelistic logic.

Independent parental contributions initiate zygote polarization in Arabidopsis thaliana

Embryogenesis of flowering plants is initiated by polarization of the zygote, a prerequisite for correct axis formation in the embryo. The daughter cells of the asymmetric zygote division form the pro-embryo and the mostly extra-embryonic suspensor.1 The suspensor plays a pivotal role in nutrient and hormone transport and rapid growth of the embryo.2,3 Zygote polarization is controlled by a MITOGEN-ACTIVATING PROTEIN (MAP) kinase signaling pathway including the MAPKK kinase (MAP3K) YODA (YDA)4 and the upstream membrane-associated proteins BRASINOSTEROID SIGNALING KINASE 1 (BSK1) and BSK2.5,6 Furthermore, suspensor development is controlled by cysteine-rich peptides of the EMBRYO SURROUNDING FACTOR 1 (ESF1) family.7 While they act genetically upstream of YDA, the corresponding receptor to perceive these potential ligands is unknown. In other developmental processes, such as stomata development, YDA activity is controlled by receptor kinases of the ERECTA family (ERf).8-12 While the receptor kinases upstream of BSK1/2 in the embryo have so far not been identified,1 YDA is in part activated by the sperm cell-derived BSK family member SHORT SUSPENSOR (SSP) that represents a naturally occurring, constitutively active variant of BSK1.5,13 It has been speculated that SSP might be a paternal component of a parental tug-of-war controlling resource allocation toward the embryo.2,13 Here, we show that in addition to SSP, the receptor kinase ERECTA plays a crucial role in zygote polarization as a maternally contributed part of the embryonic YDA pathway. We conclude that two independent parental contributions initiate zygote polarization and control embryo development.

Multi-Agent Deep Reinforcement Learning for Computation Offloading and Interference Coordination in Small Cell Networks

Integrating mobile edge computing (MEC) with small cell networks has been conceived as a promising solution to provide pervasive computing services. However, the interactions among small cells due to inter-cell interference, the diverse application-specific requirements, as well as the highly dynamic wireless environment make it challenging to design an optimal computation offloading scheme. In this paper, we focus on the joint design of computation offloading and interference coordination for edge intelligence empowered small cell networks. To this end, we propose a distributed multi-agent deep reinforcement learning (DRL) scheme with the objective of minimizing the overall energy consumption while ensuring the latency requirements. Specifically, we exploit the collaboration among small cell base station (SBS) agents to adaptively adjust their strategies, considering computation offloading, channel allocation, power control, and computation resource allocation. Further, to decrease the computation complexity and signaling overhead of the training process, we design a federated DRL scheme which only requires SBS agents to share their model parameters instead of local training data. Numerical results demonstrate that our proposed schemes can significantly reduce the energy consumption and effectively guarantee the latency requirements compared with the benchmark schemes.

Stochastic Assessment of the Economic Impact of Streptococcus suis-Associated Disease in German, Dutch and Spanish Swine Farms.

The economic assessment of animal diseases is essential for decision-making, including the allocation of resources for disease control. However, that assessment is usually hampered by the lack of reliable data on disease incidence, or treatment and control measures, and that is particularly true for swine production diseases, such as infections caused by Streptococcus suis. Therefore, we deployed a questionnaire survey of clinical swine veterinarians to obtain the input data needed for a stochastic model to calculate the costs caused by S. suis, which was implemented in three of the main swine producing countries in Europe: Germany, the Netherlands and Spain. S. suis-associated disease is endemic in those countries in all production phases, though nursery was the phase most severely impacted. In affected nursery units, between 3.3 and 4.0% of pigs had S. suis-associated disease and the mortalities ranged from 0.5 to 0.9%. In Germany, the average cost of S. suis per pig (summed across all production phases) was 1.30 euros (90% CI: 0.53–2.28), in the Netherlands 0.96 euros (90% CI: 0.27–1.54), and in Spain 0.60 euros (90% CI: 0.29–0.96). In Germany, that cost was essentially influenced by the expenditure in early metaphylaxis in nursery and in autogenous vaccines in sows and nursery pigs; in the Netherlands, by expenditure on autogenous vaccines in sows and nursery pigs; and in Spain, by the expenditures in early metaphylaxis and to a lesser extent by the mortality in nursery pigs. Therefore, the differences in costs between countries can be explained to a great extent by the measures to control S. suis implemented in each country. In Spain and in Germany, use of antimicrobials, predominantly beta-lactams, is still crucial for the control of the disease.

Influences of using different spatial weight matrices in analyzing spatial autocorrelation of cardiovascular diseases mortality in China

Objective: To explore the potential influences and applicability of different spatial weight matrices used in analyzing spatial autocorrelation of cardiovascular disease (CVD) mortality in China. Methods: Using data from the National Cause-of-death Reporting System, we used adjacency-based Rook and Queen contiguity and distance-based K nearest neighbors/distance threshold. We then conducted global and local spatial autocorrelation analysis of CVD mortality at the county level in China, 2018. Results: All four categories and 26 types of spatial weight matrices had detected significant global and local spatial autocorrelation of CVD mortality in China. Global Moran's I statistics reached its peak when using first-order Rook (0.406), first-order Queen (0.406), K nearest neighbors including five spatial units (0.409), and distance threshold with 100 kilometers (0.358). Meanwhile, apparent local spatial autocorrelation was found in CVD mortality. Substantial disparities were observed when detecting "High-High clusters", "Low-Low clusters", "High-Low clusters" and "Low-High clusters" of CVD mortality spatial distribution by using different weight matrices. Conclusions: Using different spatial weight matrices in analyzing the spatial autocorrelation of CVD mortality, we could understand the spatial distribution characteristics of CVD mortality in-depth at the county level in China. In this way, adequate supports could also be provided on CVD premature death control and rational medical resource allocation regionally.

Assessment of the impact of heart failure on household economic well-being: a protocol.

Background: Heart failure (HF), which is an emerging public health issue, adversely affects the strained health system in India. Additionally, the adverse impact of HF on the economic well-being of affected individuals and their families has been narrated in various anecdotal reports, with affected individuals and their dependents pushed into poverty. However, there is limited research quantifying how HF impacts the economic well-being of households from low- and middle-income countries. Methods: We describe the methods of a detailed economic impact assessment of HF at the household level in India. The study will be initiated across 20 hospitals in India. The selected centres represent different regions in India stratified based on the prevailing stages of epidemiological transition levels (ETLs). We will collect data from 1800 patients with acute decompensated HF and within 6-15 months follow-up from the time of initial admission. The data that we intend to collect will consist of a) household healthcare expenditure including out-of-pocket expenditure, b) financing mechanisms used by households and (c) the impoverishing effects of health expenditures including distress financing and catastrophic health expenditure. Trained staff at each centre will collect relevant data by using a validated and structured interview schedule. The study will have 80% power to detect an 8% difference in the proportion of households experiencing catastrophic health expenditures between two ETL groups. After considering a non-response rate of 5%, the target sample size is approximately 600 patients from each group and the total sample size is 1800 patients with heart failure. Impact: The results from our study will help policy makers in understanding the micro-economic impact of HF in India and aid in allocation of appropriate resources for prevention and control of HF.

The impacts of organizational culture and neoliberal ideology on the continued existence of incivility and bullying in healthcare institutions: A discussion paper

Countless research studies have demonstrated the detrimental effects of incivility and bullying in healthcare. Despite the abundance of proposed solutions to this issue, many healthcare leaders continue to fail in mitigating the existence of such negative behaviors in the workplace. Personality attributes of perpetrators and victims have received attention, but much less research has examined the organizational and neoliberal causations of incivility and bullying in healthcare. Being the largest occupational group in the health sector, nursing professionals have the greatest influence and are crucial in ending these behaviors. This discussion paper outlines the effects of incivility and bullying in healthcare and provides a critical analysis on how organizational culture and neoliberal ideology influence the pervasiveness and persistence of these negative behaviors. The analysis reveals that organizational cultures that misuse power, disregard equality, and facilitate oppression, foster the existence of incivility and bullying in the workplace. Such cultures permit perpetrators to misuse their authority to control resource allocation, ignorance to social inequalities, and the silence of victims. Furthermore, the neoliberal concept of deregulation, austerity, and individualism further these behaviors. The neoliberal reforms have led to underfunding of anti-bullying programs and policies, use of bullying behaviours as management strategies, and victim-blaming for profit maximization. Financial cutbacks have resulted in denial and acceptance of uncivil and bullying behaviours in healthcare institutions, which endangers the rights of healthcare providers to a safe workplace environment. To curtail these negative behaviors, robust anti-bullying policies and programs must be strictly enforced and sustained in practice. Further exploration on the association of organizational culture and neoliberal principles to incivility and bullying in healthcare is greatly warranted.

Analysis of Forty Years of Geographic Disparity in Liver Cancer Mortality and the Influence of Risk Factors

Regional disparities in cancer mortality rates are prevalent at all geographic scales. Area factors such as health conditions, behavior patterns, pollution, and socioeconomic status (SES) have significant impacts on cancer disparity. Efforts to determine the risk factors help to identify interventions that can lower disease burdens. In this study, we focus on liver cancer mortality (LCM), which is the second leading cause of cancer-related deaths in the world. Liver cancer rates have shown significant geographic disparities. We used a comprehensive database and applied innovative statistical models to investigate the influences of area factors on geographic disparities in LCM rates in China. To incorporate the long lag period between exposure and mortality, we integrated databases on LCM, other liver diseases, smoking and alcohol use, pollution, health care resources, censuses, and SES across four decades. Spatial random effect models were developed to address the effects of risk factors. Results showed that higher LCM is linked to less access to and lower availability of medical services and higher levels of water pollution. People in the high LCM area more likely worked in the industrial sector and had higher rates of smoking and alcohol use. Compared to Western countries where populations in high-LCM regions usually were those with the lowest SES, this study revealed that China’s high-LCM areas were the mostly rapidly industrializing regions with higher income, more severe water pollution, and a lack of access to medical services. Study results substantially inform potential policy on the allocation of resources for cancer prevention and control in developing countries.

Enhanced or impoverished recruitment of top-down attentional control of inhibition in test anxiety

Controversy exists as to whether high test anxiety (HTA) individuals, when completing an inhibition task, increase or decrease top-down attentional control resources to maintain high task performance. In a flanker task experiment, individuals were confronted with a threat or no threat context in combination with a low or a high working memory load. The N2 measured top-down attentional control resource allocation. The results showed that, in comparison to low test anxiety (LTA) individuals, HTA individuals had larger N2 amplitudes in a no threat condition, especially for incongruent trials. Also, in a threat condition when under high working memory load, HTA individuals had smaller incongruent N2 amplitudes. These findings support the conclusion that HTA individuals tend to enhance recruitment of top-down attentional control of inhibition. Additionally, they may also fail to compensate for impaired inhibition as indicated by impoverished top-down attentional control resources when demands on attentional control are high.

Enhancing disk input output performance in consolidated virtualized cloud platforms using a randomized approximation scheme

AbstractIn a virtualized computer system with shared resources, consolidated virtual services (VSs) fiercely compete with each other to obtain the required capacity of resources, and this causes significant system's performance degradation. The performance of input output (I/O)‐bound applications running inside their own VS is mainly determined by the total time required to schedule every read/write request, plus the actual time needed by the device driver to complete the request. To achieve a right performance isolation of shared resources (e.g., the last level cache, memory bandwidth, and the disk buffer), it is essential to limit the performance degradation level among collocated applications, as simultaneously several I/O operations are requested by VSs, perhaps with different priorities. This article proposes a resource allocation controller that uses a fully polynomial‐time randomized approximation scheme to enable performance isolation of concurrent I/O requests in a shared system with multiple consolidated VSs. This controller uses a Monte Carlo sampling approach to measure and estimate the unknown attributes of operational requests originating from each VS. This is formalized as an optimization problem with the aim to minimize the degree of total quality of service (QoS) violation incidents in the entire platform. We associated a reward function to every working machine that represents the fulfillment degree of quality of service metric among all running VSs. The conducted comprehensive set of experiments showed that the proposed algorithm can reduce the QoS violation incidents by 32%, compared with the result which is obtained by employing the default resource allocation policy embedded in the existing Linux container layer.

Stochastic joint rate control and resource allocation for wireless video surveillance

Wireless video surveillance has become increasingly prevalent due to the rapid development of cellular communication technology and the low deployment cost of cellular surveillance cameras. However, it is still a challenging task to deliver high-quality low-latency surveillance videos in resource-limited cellular networks due to the fluctuating characteristics of wireless channels. In this paper, we consider a wireless video surveillance system consisting of one base station and multiple cellular surveillance cameras, which upload their videos to the base station. To optimize the long-term system performance in terms of surveillance video quality and latency, we formulate a stochastic optimization problem that jointly considers video rate control and uplink resource allocation. The formulation captures the tradeoff between video quality and delivery latency while considering the different time scales of video rate control and channel resource allocation. With the application of Lyapunov optimization, we transform the problem into a sequence of per-slot deterministic problems, and propose an online joint rate control and resource allocation algorithm to solve these per-slot problems. Specifically, the proposed algorithm decomposes each of the per-slot problems into two independent subproblems, namely, the rate control subproblem at large time scale and the uplink resource allocation subproblem at small time scale. We derive the closed-form solution for the rate control subproblem, and design a fast-convergent iterative algorithm to solve the uplink resource allocation subproblem optimally. We prove the asymptotical optimality of our proposed algorithm. Extensive simulation results validate our theoretical analysis and demonstrate that the proposed algorithm can well balance the surveillance video quality and delivery latency.

Cost-Benefit Analysis of Allowing Additional Time in Cleaning Hospital Contact Precautions Rooms

Increasing cleaning time may reduce hospital-acquired transmission of Clostridioides difficile, methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin-resistant enterococcus (VRE). We constructed a cost-benefit model to estimate the impact of implementing an enhanced cleaning protocol, allowing hospital housekeepers an additional 15 minutes to terminally clean contact precautions rooms. The enhanced cleaning protocol saved the hospital $758 per terminally-cleaned room when accounting for only C. difficile. Scaling up to a hospital with 100 cases of C. difficile/year, and the US annual C. difficile incidence, cost savings were $75,832/year and $169.8 million/year, respectively. These results may inform infection control strategic decision-making and resource allocation.

Reinforcement Learning for Interference Coordination Stackelberg Games in Heterogeneous Cellular Networks

In future heterogeneous cellular networks with small cells, such as D2D and relay, interference coordination between macro cells and small cells should be addressed through effective resource allocation and power control. The two‐step Stackelberg game is a widely used and feasible model for resource allocation and power control problem formulation. Both in the follower games for small cells and in the leader games for the macro cell, the cost parameters are a critical variable for the performance of Stackelberg game. Previous studies have failed to adequately address the optimization of cost parameters. This paper presents a reinforcement learning approach for effectively training cost parameters for better system performance. Furthermore, a two‐stage pretraining plus ε‐greedy algorithm is proposed to accelerate the convergence of reinforcement learning. The simulation results can demonstrate that compared with the three beachmarking algorithms, the proposed algorithm can enhance average throughput of all users and cellular users by up to 7% and 9.7%, respectively.

Childhood visceral leishmaniasis in Tunisia: A cross-sectional study in local spatial analysis

This paper describes spatial distribution of Visceral Leishmaniasis (VL) and determines its correlation with climatic factors in an endemic focus in northern and central Tunisia. Data on VL cases in children under five years of age were obtained by consulting medical reports from all Tunisian Pediatric Departments (TPD) during 2006–2016. Three key climatic factors, namely precipitation, continentality index and pluviometric coefficient of Emberger were used as predictor variables to model the VL geographical distribution. Data handling and statistical analysis were performed using R and Arcview GIS software systems. Bayesian local spatial model was employed to analyse the data. The results show a progressive increase in the VL incidence rates in regions with high levels of precipitation, but with low values of both continentality index and pluviometric coefficient of Emberger. A likely explanation of these findings arises from the opposite local effects of climatic factors which tend to cancel each other out in the calculation of the mean parameter estimate over the whole study area. We conclude that using non-local spatial analysis approach leads to misleading epidemiological interpretations, which in turn are of relevance for more efficient and cost-effective resource allocation for control and well manage the spread of VL in the study region and elsewhere in Tunisia.

Research on Control Positions Allocation Based on Controller Workload

With the rapid development of the civil aviation industry, more and more aircraft sorties operate within limited airspace resources. It is necessary to finely manage the equipment resources of sectors/control areas and control units to ensure the safety of aircraft operations. In order to ensure the safety of the control operation, each job of the control position of the air command should be reasonably allocated to achieve the purpose of optimizing the allocation of control resources. Firstly, the factors that affect the control positions for air command and the various components that constitute the workload of the controller are studied. Then, the three-scale Analytic Hierarchy Process (AHP) is used to determine the weight of each factor that affects the position allocation. It is to establish the workload system that affects the control position allocation. Finally, a control position allocation method for air command based on the workload of the controller is proposed in the case of ensuring the safety of the control operation.