On optimization efficiency of scalability and availability of cloud-based software services using scale rate limiting algorithm

Abstract

Internet applications nowadays combine globally shared resources into a single software platform. It's a difficult technology issue to supply reports for the resource consumption among those World Wide Web applications. The formulation and simulation of spread levels were introduced in this report. Spread frequency operates together again to impose a worldwide speed restriction over revenue aggregated at several locations allowing for the synchronized monitoring of an internet company's activity. Assures that traffic delays mass transit streams act as passing through a unique, common limitation network. We describe two models overall and the other TCP-optimized—that permits network operators to expressly balance away transmission cost with network correctness, speed, and scaling. All these approaches could speed restrict 1000s of streams with little expense (less than 3% in the tested configuration). We show that with us TCP-centric architecture could scale to hundreds of servers whilst remaining resilient towards both outages and transmission postponement, suitable for countrywide telecom operators.

Keywords

• Cloud computing
• Optimized network
• TCP
• Scaling
• Synchronized monitoring