Abstract
Nowadays, Cloud computing is an expanding area in research and industry, which involves virtualization, distributed computing, internet, software, security, web services and etc. A cloud consists of several elements such as clients, data centers and distributed servers, internet and it includes fault tolerance, high availability, effectiveness, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services and etc. Now the next factor is coming, cost of Virtual machines on Data centers and response time. So this paper develop trust model in cloud computing based on fuzzy logic, to explores the coordination between Data Centers and user bound to optimize the application performance, cost of Virtual machines on Data centers and response time using Cloud Computing Analyst.
Highlights
Cloud services are becoming popular in terms of distributed technology because they allow cloud users to rent wellspecified resources of computing, network, and storage infrastructure
Cloud computing is a computing platform that resides in a large data center and is able to dynamically provide servers the ability to address a wide range of needs, ranging from scientific research
The main objective of this paper is to develop trust model in cloud computing based on fuzzy logic
Summary
Cloud services are becoming popular in terms of distributed technology because they allow cloud users to rent wellspecified resources of computing, network, and storage infrastructure. Cloud Computing can be defined as a model for enabling ubiquitous, convenient, ondemand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction [17]. IaaS is the delivery of computing resources as a service through APIs, which includes virtual machines, operating systems and other abstracted hardware [18]. The customer rents these resources which are dynamically scalable as per usage, rather than buying and installing them. IaaS services according to different application requirements [21]
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