Duration Of User Research Articles

Cloud Broker: Customizing Services for Cloud Market Requirements

Cloud providers offer various purchasing options to enable users to tailor their costs according to their specific requirements, including on-demand, reserved instances, and spot instances. On-demand and spot instances satisfy short-term workloads, whereas reserved instances fulfill long-term instances. However, there are workloads that fall outside of either long-term or short-term categories. Consequently, there is a notable absence of services specifically tailored for medium-term workloads. On-demand services, while offering flexibility, often come with high costs. Spot instances, though cost-effective, carry the risk of termination. Reserved instances, while stable and less expensive, may have a remaining period that extends beyond the duration of users’ tasks. This gap underscores the need for solutions that address the unique requirements and challenges associated with medium-term workloads in the cloud computing landscape. This paper introduces a new cloud broker that introduces IaaS services for medium-term workloads. On one hand, this broker strategically reserves resources from providers, and on the other hand, it interacts with users. Its interaction with users is twofold. It collects users’ preferences regarding commitment term for medium-term workloads and then transforms the leased resources based on commitment term, aligning with the requirements of most users. To ensure profitability, the broker sells these services utilizing an auction algorithm. Hence, in this paper, an auction algorithm is introduced and developed, which treats cloud services as virtual assets and integrates the depreciation over time. The findings affirm the lack of services that fulfill medium workloads while ensuring the financial viabilty and profitability of the broker, given that the estimated return on investment (ROI) is acceptable.

Improving the quality of service indices of task allocation in mobile crowd sensing with fuzzy-based inverse stackelberg game theory

This paper introduces a comprehensive strategy for heterogeneously allocating tasks, aiming to optimize mobile crowd sensing through the use of fuzzy logic and thus achieving superior coverage quality. We employed a deep learning method to address the diverse range of requests. Recognizing the instability during the learning process, we utilized an approximation function for the Q-values, thereby preventing divergence during the training phase of the model. A prominent challenge is ensuring robust user participation in mobile crowd sensing initiatives. Essentially, a higher number of monitoring nodes within an area correlates with improved coverage quality. We employed fuzzy logic to estimate participation density, taking into account both the duration of users' presence in the study region and the geographical density. Our results are compelling: the proposed method boosts coverage levels by over 17% compared to standard techniques. Additionally, with an accuracy spanning 91.5% to 95.3% for the correct allocation of resources using a dataset from Google, the efficacy of our approach is further underscored.

Visibility of Moodle applications in Central Asia: analysis of SEO.

Search engine optimization (SEO) is an important tool that can predict the number of website visits, and good SEO strategies can help increase the visibility of educational resources. In the current article, the relevance between Search engine optimization (SEO) characteristics and the number of Moodle users in four Central Asian countries was examined. The analysis of learning management systems covered 38 Moodle websites. Analysis was conducted using semi-automated tools. Results suggested that although there is no difference in general SEO scores of Moodle installations, page structures and link structures in websites of different countries were dissimilar. Also, server configuration practices were different. In addition, there was a positive correspondence between the number of visits to a website and the number of external factors; the duration of users’ visits was correlated with page structure. As for the normalized number of visits, the analysis revealed that in Kazakh universities, students use the Moodle system more frequently in a day than in other countries, while visits to Tajik universities’ Moodle platforms were the lowest; the difference was 53 users per day.

Instagram Social Media As Guidance And Counseling Media Based On Technology

one of the most important counselor tasks to response industrial revolution 4.0 is guidance and counselingservice using new innovation, suchus social-media. Internet user Indonesia are 64,8 % from all citizen, with user duration using social-media 3-4 hours each day. Social media acess is the second priority after using communication needed. Instagram is the second social-media with high access by user after facebook. Instagram is one of social-media application to share text, image, or video. This work is gained to analyse that instagram could be used by counselor as media to do guidance and counseling service based on technology. There are many fiture such us image upload, video, caption, comment, hashtags, instagram story, instagram live, direct message and highlight could be used by counselor.

Understanding user interface needs of e-commerce web sites

With the growth in the number of web sites, users must choose among many alternative web sites and designers must face the challenge of keeping the user's duration. Web site design is an iterative process of fine-tuning to enhance user satisfaction. According to the hygiene–motivation theory, the emotions of satisfaction and dissatisfaction are caused by two different categories of characteristics. Lack of dissatisfaction does not mean satisfaction, and lack of satisfaction does not mean dissatisfaction. This study proposes a parsimonious and effective multidimensional evaluation tool: a max–min approach to combine the hygiene–motivation factors and thereby provide a strategy to compare the competitive position of different web sites. The interfaces of eight e-retailer web sites for computer and communication products were targeted for evaluation. Four hygiene factors (navigation, information display, ease of learning and response time) and five motivation factors (interaction with people, screen complexity, user empowerment, visual appearance and achievement) are measured. The evaluations on hygiene and motivation factors were transformed into max and min effectiveness scores using the proposed models. Three zones (zone of intolerance, zone of efficiency and zone of satisfaction) were described to illustrate the role of strategic planning of a site interface in shaping a competitive position among the observed web sites.