The Relationship Between Shanghai-Centered Producer Services and Manufacturing Industry Based on Simultaneous Equation Model in Cloud Computing Environment

Author(s):  
Dongyu Yu
MBIA ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 64-78
Author(s):  
Sari Lestari Zainal Ridho ◽  
Dina Mellita ◽  
Ade Wirman Syafei

The purpose of this study was to assess the impact of handwashing on poverty reduction and life expectancy. The Covid-19 pandemic, which is ongoing and has not yet ended after more than a year in Indonesia, reminds us of the importance of maintaining health, especially through simple methods, namely washing hands frequently. Referring to previous research, health is an important factor that affects many things, including life expectancy and poverty. The existence of the Covid-19 pandemic seems to be an alarm that reminds us of the importance of getting used to washing hands frequently in an effort to maintain health. Therefore, this research is deemed necessary to use data from provinces in Indonesia. The relationship between handwashing habits and their effect on life expectancy and poverty reduction is also influenced by other interconnected variables, therefore data processing is carried out using the Simultaneous Equation Model analysis technique, as an effort to jointly examine the variables suspected to be the impact interrelated from this research. The results of this study indicate that the habit of washing hands in various provinces in Indonesia has a significant effect on life expectancy and poverty, so it needs to be continued and requires supportive policies, for example in the form of increasing awareness to stay healthy, stay save with more stay at home.   Abstrak Tujuan dari penelitian ini adalah menkaji dampak kebiasaan mencuci tangan terhadap pengurangan kemiskinan dan angka harapan hidup. Pandemi Covid-19 yang sedang berlangsung  dan belum kunjung usai setelah lebih setahun lamanya di Indonesia, mengingatkan kita pentingnya menjaga kesehatan, terutama melalui cara sederhana yaitu melakukan aktivitas sering mencuci tangan. Mengacu paada penelitian terdahulu kesehatan merupakan faktor penting yang berpengaruh terhadap banyak hal, diantaranya angka harapan hidup dan kemiskinan. Keberadaan pandemi Covid-19 seolah menjadi alarm yang mengingatkan kita pentingnya untuk membiasakan sering mencuci tangan sebagai upaya menjaga kesehatan. karena itu penelitian ini dirasa perlu untuk dilakukan dengan menggunakan data dari provinsi-provinsi yang ada di Indonesia. keterkaitan kebiasaan mencuci tangan dan pengaruhnya terhadap angka harapan hidup dan pengurangan kemiskinan juga dipengaruhi oleh variabel-variabel lain yang saling terhubung, karena itu pengolahan data dilakukan dengan menggunakan teknik analisis Simultan Equation Model, sebagai upaya menelaah secara bersama sama variabel variabel yang diduga merupakan dampak yang saling berkaitan dari penelitian ini. Hasil penelitian ini menunjukkan bahwa kebiasaan mencuci tangan di berbagai provinsi di Indonesia memiliki pengaruh signifikan terhadap kemiskinan dan usia harapan hidup, sehingga perlu dilanjutkan dan memerlukan kebijakan yang mendukung, misalnya berupa peningkatan kesadaran untuk stay health, stay save dengan lebih banyak stay at home. Kata kunci: Kebiasaan Mencuci Tangan, Kemiskinan, Angka Harapan Hidup, Covid-19


Author(s):  
Afaf Edinat ◽  
Rizik M. H. Al-Sayyed ◽  
Amjad Hudaib

Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with minimum costs. Cloud service providers (CSPs) offer many different services to their customers, where the customers’ needs are met seeking the highest levels of quality at the lowest considerate prices. The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for. Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper. We also addressed the challenges that are related to the violations of SLAs, and how overcoming them will enhance customers’ satisfaction. Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA). In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA. This improvement will be reflected in the agent's performance and considerably affect it, especially in identifying cloud computing requirements based on the QoS metrics.


Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.


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