Abstract
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.
Highlights
To anticipate the increasingly massive impact of the spread of the coronavirus or COVID19 virus pandemic, business ecosystems have improved their processes broadly covered by work from home (WFH) policies
Scheduling is one technique that is widely used in analyzing data; its use is widely applied in the fields Clustering of computer science, statistics, and bigindata
Refers to a group of is one technique thatbiology is widely used analyzing data;clustering its use is widely applied in the datasets are divided intostatistics, differentbiology classes in thebig same cluster
Summary
To anticipate the increasingly massive impact of the spread of the coronavirus or COVID19 virus pandemic, business ecosystems have improved their processes broadly covered by work from home (WFH) policies. Not all employees can use this policy due to lack of suitable technology, especially in the aspects of software, business handling models and infrastructure. This reason,in cloud computing technology is very useful for implementing work-from-home models. Cloud computing technology is very useful for implementing work-from-home models. Cloud intelligent systems are a newresources, business model new related to the management of computing both related storage,to the management of computing resources, bothusing storage, communication networks and computing communication networks and computing power the pay-as-you-go paradigm where users only power using the paradigm where users only pay accordingfacilities to the resources they use. Cloud intelligent system use for digital ecosystem general purpose activity, learning, school-from-home, work-from-home, and making a start-up business in relation to the pandemic situation is increasing. The results of the different views are discussed in the conclusions part where some recommendations are given
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