Delay and Energy Consumption Optimization Oriented Multi-service Cloud Edge Collaborative Computing Mechanism in IoT

The rapid development of the Internet of Things has put forward higher requirements for the processing capacity of the network. The adoption of cloud edge collaboration technology can make full use of computing resources and improve the processing capacity of the network. However, in the cloud edge collaboration technology, how to design a collaborative assignment strategy among different devices to minimize the system cost is still a challenging work. In this paper, a task collaborative assignment algorithm based on genetic algorithm and simulated annealing algorithm is proposed. Firstly, the task collaborative assignment framework of cloud edge collaboration is constructed. Secondly, the problem of task assignment strategy was transformed into a function optimization problem with the objective of minimizing the time delay and energy consumption cost. To solve this problem, a task assignment algorithm combining the improved genetic algorithm and simulated annealing algorithm was proposed, and the optimal task assignment strategy was obtained. Finally, the simulation results show that compared with the traditional cloud computing, the proposed method can improve the system efficiency by more than 25%.

Collaboration technology affordances from virtual collaboration in the time of COVID-19 and post-pandemic strategies

PurposeThis paper aims to explore key collaboration technology affordances from virtual collaboration and remote work during the time of COVID-19. The purpose of this exploration is to improve the understanding of technology-supported collaboration in order to achieve individual and organizational success with the adoption, use and implementation of virtual collaboration in a pandemic and post-pandemic world.Design/methodology/approachQualitative data is collected from 55 graduate students during a time of work transition due to COVID-19. This paper distills key collaboration technology affordances identified from participant feedback.FindingsThis paper identifies topics of virtual collaboration success as well as challenges related to organizational transitions during COVID-19. The findings from this work relate to four collaboration technology affordances including: (1) flexibility and productivity, (2) social connectedness and organizational culture, (3) technology support and (4) management and leadership. Additionally, this research provides insight into the complexities of virtual collaboration in these areas while also making recommendations for the post-pandemic future.Originality/valueThis research makes a contribution through the analysis of a unique set of data elaborating on participant experiences during a global pandemic as well as through the exploration of future implications.

Canadian Police Knowledge Network: The power of technology, standards, and collaboration

The Canadian Police Knowledge Network (CPKN) is a not-for-profit organization that delivers high-quality technology-enhanced professional development for Canadian police. Through collaboration, technology, and standards CPKN has established a credible model that offers a reliable, cost-effective solution to meet the increasingly diverse and complex needs of contemporary policing. This article examines CPKN’s evolution from an online learning service provider to a nationally recognized leader in police learning and professionalization. It specifically explores the role of ongoing collaboration within the Canadian police community, through CPKN, to develop nationally relevant training and to modernize the competency-based management framework to establish more nationally consistent competency standards.

Remote workers’ wellbeing in the age of COVID-19

Social isolation measures used worldwide to reduce the impacts of COVID-19 led many office workers to work remotely with little notice. While researchers have studied remote collaboration for more than two decades, the scale and context of remote work during a pandemic is unprecedented and has changed personal and work dynamics. In this paper, we discuss a survey study investigating the impact of remote work during the COVID-19 pandemic in Brazil, informed by Olson & Olson's framework for distributed collaboration. We report preliminary findings from this study, focusing specifically on workers' wellbeing. Our results suggest that the main factors influencing workers' well beings are Common Ground Challenges, Collaboration Readiness, Collaboration Technology Readiness, Organizational Management, and Interruptions.

Cooperation-Assisted Spectrum Handover Mechanism in Vehicular Ad Hoc Networks

This paper proposes a cooperation-assisted spectrum handover (CASH) scheme in vehicular ad hoc networks (VANETs). In CASH, each vehicle uses cognitive radio technology to collect the surrounding spectrum information, computes the stability of the spectrum, exchanges neighbor information by vehicle-to-vehicle collaboration technology, and then executes a partial prescan mechanism to reduce the handover delay. The proposed method can improve the spectrum utilization, shorten the delay time of the spectrum handover, and reduce the total number of handovers. Finally, the simulation results show that the proposed method outperforms other existing schemes. In spectrum utilization, CASH is about 20% better than that of the traditional full scan method. In average scan time, the time of CASH is about 5 times less than the time of the traditional full scan method. In total number of handovers, CASH improves the performance of the full scan scheme by 33%.

Negotiating the Social Organization of School Library Work

I investigated how school library work is socially organized and how that social organization affects cooperation with teachers and others in the school. The research uses the institutional ethnography frame of inquiry, providing a way of looking at how the role and function of the school librarian/ school media specialist is socially-organized and institutionally-oriented. The social organization was apparent in the categories of collaboration, technology, and access. A better understanding of how library work is socially organized will help working librarians understand how to negotiate their workplace more effectively. An understanding of how to examine the social organization of an institution can help inform research and teaching in school librarianship as well. This presentation is a follow-up to a presentation at IASL 2008 conference in Berkeley, California.

Research on fog Resource Scheduling based on Cloud-fog Collaboration Technology in the Electric Internet of Things

Background: With the further development of electric Internet of things (eIoT), IoT devices in the distributed network generate data with different frequencies and types. Objective: Fog platform is located between the smart collected terminal and cloud platform, and the resources of fog computing are limited, which affects the delay of service processing time and response time. Methods: In this paper, an algorithm of fog resource scheduling and load balancing is proposed. First, the fog devices divide the tasks into high or low priority. Then, the fog management nodes cluster the fog nodes through K-mean+ algorithm and implement the earliest deadline first dynamic (EDFD) task scheduling algorithm and De-REF neural network load balancing algorithm. Results: We use tools to simulate the environment, and the results show that this method has strong advantages in -30% response time, -50% scheduling time, delay, -50% load balancing rate and energy consumption, which provides a better guarantee for eIoT. Conclusion: Resource scheduling is important factor affecting system performance. This article mainly addresses the needs of eIoT in terminal network communication delay, connection failure, and resource shortage. And the new method of resource scheduling and load balancing is proposed, The evaluation was performed and proved that our proposed algorithm has better performance than the previous method, which brings new opportunities for the realization of eIoT.

Embracing Australia's decommissioning liability

Improving visibility of when and where oil and gas assets are approaching end of life has provided the foundation for transformation of decommissioning planning and execution around the world. A baseline understanding of decommissioning established by Oil and Gas UK fed into the much lauded Maximising Economic Recovery strategy, and provided a platform for government to pursue a 35% cost reduction target for decommissioning in the United Kingdom. In the Netherlands, one of the first four priorities pursued to maximise value through decommissioning was the establishment of a national decommissioning database, which aimed to create an integrated view of decommissioning scope and timelines. In 2020, funded by NERA and a group of seven operators, Advisian delivered the first operator-supported assessment of Australia's decommissioning liability and outlook. This outlook lays the foundation for initiatives that support knowledge sharing, service sector engagement, collaboration, technology development, efficiency and reduced stakeholder burden. This joint presentation by NERA and Advisian will provide an overview of NERA's decommissioning strategy and the data that underpins this strategy, the Advisian ‘Offshore Oil and Gas Decommissioning Liability' assessment for Australia.