Energy Efficiency Analysis of e-Commerce Customer Management System Based on Mobile Edge Computing

Energy efficiency optimization of mobile edge computing e-commerce clients and reasonable management of server computing resources are worth further study. The participant of the algorithm game model proposed in this paper is mobile e-commerce customer management. The decision space is a two-dimensional space composed of unloading decision and power control, and the benefit function is the energy efficiency function and delay function. The existence and uniqueness of the multidimensional game model are proved theoretically. The simulation results show that the proposed multidimensional game based energy efficiency optimization algorithm of mobile edge computing can reduce the energy consumption and delay of mobile terminals and improve the energy efficiency of unloading calculation under the same task compared with the game scheme without considering power consumption control when the number of e-commerce customer management is larger. This paper deduces the optimal load migration decision of mobile e-commerce customer management and the optimal pricing strategy of mobile edge cloud service providers and proves that the optimal decision and optimal pricing constitute the Starkberg equilibrium. The semidistributed and decentralized task transfer decision-making mechanisms are designed, respectively, and the management decision-making behaviors of mobile e-commerce customers in the mobile edge cloud energy trading market are studied by numerical analysis, as well as the time efficiency of the two mechanisms.

Social factors as the catalyst of emigration

The objective of the study is to address the factors contributing to emigration from Latvia, in particular by highlighting the importance of social factors in the emigration decision, using the theory of push and pull factors of migration as a theoretical basis. The role of the family and the desire to improve not only the economical, but also the social and psychological conditions of families are important factors in the decision-making process, while maintaining links with Latvia. The authors argue that social factors are essential to the migration decision alongside economic factors, and in particular the family situation. The family is a resource that helps to settle in the new country of residence. The family relationship is addressed in terms of both “ontological security” and a feeling of “social anchoring”. The family remains important in maintaining links with relatives in Latvia.

“Move backward to make a step forward”: Understanding the migration of the highly educated to Sorong City, West Papua, Indonesia

Highly educated people are mainly concentrated in big cities or metropolitan areas. However, some of them choose to move to less developed regions. Using information from in-depth interviews of 15 highly educated migrants that recently moved to Sorong City, a small city in easternmost Indonesia, this study examines the narratives behind their spatial movements. The findings show that promising career development is a critical factor in their migration decision-making process. Although most of them faced difficulties with the limited living amenities in Sorong city, the migrants managed to improve their employability and accelerate their social mobility. However, some migrants expressed their intentions to remigrate from the city in the future. This situation indicates the lack of migrants’ social integration and the challenges in the human capital accumulation in the region.

Connecting Crises: Young People in Nepal Reflecting on Life Course Transitions and Trajectories during Times of Uncertainty

During certain crises, displacement of populations seeking safe refuge elsewhere can occur without the certainty of a return, if at all. Children and young people in such contexts often face the additional challenge of restrictions or disregard towards engaging their agency in migration decision-making processes. Through 60 in-depth interviews with 30 trans-Himalayan participants (ages of 16–23) and multi-sited ethnography throughout Nepal, this paper investigates multiple experiences of crises experienced by young people and the effects on their life course trajectories. From focusing on the Civil War in 1996–2006, the 2015 earthquake, and most recently the COVID-19 pandemic, this paper proposes that initial displacements from the Civil War, when connected with other crises later on in a participant’s life course, better prepared them to deal with crises and enabled them to create a landscape of resilience. Furthermore, a landscape of resilience that connects past and present life course experiences during crises prepared some participants for helping their larger communities alleviate certain crises-related tension. Overall, this paper extends analysis on an under-researched group of young migrants by connecting crises that shaped their (im)mobility and life trajectories, rather than approaching crises as singular, isolated experiences.

A Framework of Voluntary Migration: Understanding Modern British Migration to New Zealand

<p>Although migration has been studied extensively by a variety of social science disciplines, rarely has research been conducted into the experiences of self-selected, voluntary migrants before they depart their country of origin. Two studies were conducted to address this gap in the literature. Study 1 examined qualitative expressions of primarily British migrants who participated in three online forums for migrants to New Zealand over a one-month timeframe. The primary function of the migration forums was to provide informational support, and this was considered very valuable to predeparture migrants. Study 2 was a quantitative anonymous survey of British pre-departure migrants (N=95) that examined psychological variables such as stress and wellbeing with a focus on the role of social support. Migrants passed through a process characterized by stages, with most contemplating migration for more than two years before committing to it. Reasons given for migration included macro and micro factors, such as crowding, quality of life/lifestyle, children, government control of citizen's lives, and environment. Family members accompanying the migrant were rated most highly for emotional and instrumental support, and increased family support predicted better wellbeing and lower stress. Drivers of the migration decision, who were more enthusiastic about the move than their partner, felt more stress and trailing spouses had lower wellbeing. Support from extended family members dropped significantly after migrants informed them of their decision to leave. Migrants who were parents perceived less support from extended family members than did those without children. Implications for further research include the need to address the predeparture period as important in the acculturation process.</p>

International Migration Decision-Making: The Peculiar Case of New Zealand

<p>New Zealand is a peculiar case because it has both high immigration (roughly 23% born abroad) and high emigration (24% of highly skilled New Zealanders live overseas). Within this context, the purpose of this research is to a) examine why some people selfselect to migrate internationally and others do not, b) explore how people make a decision to leave their country of origin, c) investigate how they select a destination, and d) consider how insights learned can contribute to Naturalistic Decision Making (NDM) theory of how decisions are made in the real world. In the first study, three of the largest immigrant source countries were selected for inclusion: United Kingdom/Ireland (with higher wages than New Zealand), South Africa (similar wages), and India (lower wages). Data were gathered through semi-structured interviews with 20 pre-departure and 26 post-arrival migrants to New Zealand. A thematic analysis was conducted separately for each country’s data, resulting in a total of 1564 coded extracts in 43 themes and subthemes. The findings support the view that the migration decision process contains three decisions: whether to go, where to go and when to go. Regarding the question of whether to go, Indian and British participants had very similar reasons for leaving their country of origin: lifestyle and work/life balance, opportunities for work and children, and environment. South Africans were overwhelmingly concerned with quality of life, particularly safety. New Zealand was selected as a destination of choice due to quality of life, climate, accessibility of nature, cultural similarity, career opportunities, visa process transparency and the perception that migrants were wanted. On the question of when to go, unlike much of the decision-making in the research literature, this decision process was a negotiation between partners that occurred over a long period of time, quite often years. The second study explored individual differences, such as personality characteristics, in the international mobility intentions of New Zealanders. In a sample of 205 adults born and currently living in New Zealand, 38.5% were planning to move abroad. Using logistical regression techniques, it was found that higher persistence, openness to experience, extraversion, and promotion focus all increased the chances that a participant was planning departure. Higher agreeableness and conscientiousness lowered the odds of a move. Gender moderated the relationship between sensation seeking and intention to migrate, with women’s decision being influenced to a greater extent than men’s by sensation seeking. Also, gender moderated the relationship between emotional stability and intention to migrate, as men who were lower in emotional stability were more likely to leave. The implications from this research include the following NDM-based assumptions: migration decision-making is a process driven by individual differences, occurs over time, has multiple decision-makers, exists within a social (family) context, has real consequences for the parties involved, is bound by cultural norms, takes place in a dynamically-changing environment (including immigration policy changes, life-stage, family health and resources changes), and is the expression of goals that may change during the process.</p>

International Migration Decision-Making: The Peculiar Case of New Zealand

<p>New Zealand is a peculiar case because it has both high immigration (roughly 23% born abroad) and high emigration (24% of highly skilled New Zealanders live overseas). Within this context, the purpose of this research is to a) examine why some people selfselect to migrate internationally and others do not, b) explore how people make a decision to leave their country of origin, c) investigate how they select a destination, and d) consider how insights learned can contribute to Naturalistic Decision Making (NDM) theory of how decisions are made in the real world. In the first study, three of the largest immigrant source countries were selected for inclusion: United Kingdom/Ireland (with higher wages than New Zealand), South Africa (similar wages), and India (lower wages). Data were gathered through semi-structured interviews with 20 pre-departure and 26 post-arrival migrants to New Zealand. A thematic analysis was conducted separately for each country’s data, resulting in a total of 1564 coded extracts in 43 themes and subthemes. The findings support the view that the migration decision process contains three decisions: whether to go, where to go and when to go. Regarding the question of whether to go, Indian and British participants had very similar reasons for leaving their country of origin: lifestyle and work/life balance, opportunities for work and children, and environment. South Africans were overwhelmingly concerned with quality of life, particularly safety. New Zealand was selected as a destination of choice due to quality of life, climate, accessibility of nature, cultural similarity, career opportunities, visa process transparency and the perception that migrants were wanted. On the question of when to go, unlike much of the decision-making in the research literature, this decision process was a negotiation between partners that occurred over a long period of time, quite often years. The second study explored individual differences, such as personality characteristics, in the international mobility intentions of New Zealanders. In a sample of 205 adults born and currently living in New Zealand, 38.5% were planning to move abroad. Using logistical regression techniques, it was found that higher persistence, openness to experience, extraversion, and promotion focus all increased the chances that a participant was planning departure. Higher agreeableness and conscientiousness lowered the odds of a move. Gender moderated the relationship between sensation seeking and intention to migrate, with women’s decision being influenced to a greater extent than men’s by sensation seeking. Also, gender moderated the relationship between emotional stability and intention to migrate, as men who were lower in emotional stability were more likely to leave. The implications from this research include the following NDM-based assumptions: migration decision-making is a process driven by individual differences, occurs over time, has multiple decision-makers, exists within a social (family) context, has real consequences for the parties involved, is bound by cultural norms, takes place in a dynamically-changing environment (including immigration policy changes, life-stage, family health and resources changes), and is the expression of goals that may change during the process.</p>

Service Migration Algorithm Based On Markov Decision Process With Multiple QoS Attributes

With the rapid development of mobile internet cloud computing, the traditional network structure becomes non-suitable for advanced network traffic requirements. A service migration decision algorithm is proposed in the Software Defined Network(SDN) to satisfy differential Quality of Service(QoS) requirements. We divide services into real-time ones and non-real-time ones due to their different requirements on time delay and transmission rates, and construct the revenue function on two QoS attributes i.e. time delay and available transmission rates. We use the Markov decision process to maximize the overall benefits of users and network system to achieve the best user experience. The simulation results show that our proposed algorithm achieves better performance in terms of overall benefits than the exiting algorithms only considering single service and single QoS attribute.