Publication: Cloud Oriented Micro Services Resource Optimization by Content Delivery Networks
DOI
Type:
Thesis
Date
2021
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Abstract
In the field of modern information technology, the most intriguing topic is cloud-based
application development. After several decades of rapid development and research on
cloud technologies, nowadays almost all cloud service providers are providing a massive
range of services with higher reliability but there are a couple of business domains that
having additional technical requirements and these are unique to their business domains.
Capital Market and Finance is one of such specific business domains which need to
address additional technical and compliance requirements.
The main technical barrier in this domain is providing business functionalities for all
users across the globe with micro-second level latency. Therefore, when developing and
maintaining such a system, we are highly concern about system throughput and hardware
resource allocation. While on the subject, the cloud-based system architecture is an ideal
infrastructure for this kind of application development because we can upgrade hardware
resources within a couple of minutes. however, there are significant issues remains as it
is.
Message queues are growing unexpectedly until resource upgrade.
Lack of accurate cloud services to identify duplicate API requests.
User connectivity and API access are limited due to service back off
Peek time is limited to sort period and resources are billing on hours.
System recovery in machine terminate is very costly mechanism
As a matter of above technical concerns, we are conducting this research to propose a
better solution to handle these types of technical barriers in without upgrading hardware
resources unnecessarily and the proposed solution will not be limited to Capital market
but it can be used for any application service to utilize their hardware resources while
high network traffic
