Managing Cloud Intelligent Systems over Digital Ecosystems: Revealing Emerging App Technology in the Time of the COVID19 Pandemic
| Autor: | Wahyu Caesarendra, Fahmi Ibrahim, Fang-Yie Leu, Parastou Khodaparast Haghi, Uus Khusni, Adam Glowacz, Heru Susanto |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
monetary cost
Computer science Business process Cloud computing 02 engineering and technology lcsh:Technology Industrial and Manufacturing Engineering Scheduling (computing) Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Ease of Access cloud computing clustering makespan data transfer cloud intelligent systems digital ecosystem Job shop scheduling lcsh:T business.industry lcsh:T57-57.97 Applied Mathematics Intelligent decision support system 020206 networking & telecommunications Human-Computer Interaction Digital ecosystem Workflow Risk analysis (engineering) Control and Systems Engineering lcsh:Applied mathematics. Quantitative methods 020201 artificial intelligence & image processing business Information Systems |
| Zdroj: | Applied System Innovation; Volume 3; Issue 3; Pages: 37 Applied System Innovation, Vol 3, Iss 37, p 37 (2020) |
| ISSN: | 2571-5577 |
| DOI: | 10.3390/asi3030037 |
| Popis: | The COVID19 pandemic has indirectly changed the landscape of the business environment system through cloud intelligence within the digital ecosystem that has as a goal increasing the access, efficiency, effectiveness, equity and quality of business processes through cloud intelligent systems. Cloud intelligent systems are becoming revolutionary in today’s world pandemic causing a complete and drastic change to a variety of industries, including, security, transportation, business, logistics and manufacturing. The main purpose of cloud intelligence systems is to facilitate the ease of access from any location and the management of practical computing resources. One of the challenges faced by cloud technology today is scheduling. The role of scheduling algorithms is very important, since tasks are executed by orders that may need more attention. Here, scheduling algorithms intended to minimize monetary cost and minimize makespan time to execute the workflow are presented. This study proposes cloud intelligent systems apps through an approach to cloud computing scheduling that may lead to great benefits and efficiency. The result is very promising. It showed that there are numerous applications of intelligent systems due to the more advanced hardware being built nowadays, plus business processes advancing to become smarter and more efficient in growing profitably over a destructive digital ecosystem during the COVID19 pandemic. The results indicate that intelligent systems over the cloud play a big role not just for interacting with the world helping businesses grow, but as well as in the advancement for a better tomorrow. |
| Databáze: | OpenAIRE |
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