Abstract
Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have conducted a survey on the models of cloud environment, benefits and issues related to it.
Highlights
Cloud Computing is the biggest technology advancement a days
Cloud computing model consists of core characteristics such as ondemand network access, resource pooling, rapid elasticity, measured service, on-demand self service, multitenancy; deployment models such as private cloud, public cloud,community cloud, hybrid cloud; service categories such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Ethernet as a Service, IT as a Service have come up
Based upon the services offered, clouds are classified in the following ways: 1. Infrastructure as a service (IaaS) involves offering hardware related services using the principles of cloud computing
Summary
Cloud Computing is the biggest technology advancement a days. It has taken computing in initial to the level. Cloud computing uses the internet and the central remote servers to support different data and applications. Some issues and challenges that its recently encountered with are: Load Balancing, Huge Energy Consumption by Cloud data centers, security and privacy of users' data, reliability and availability of cloud services, resource management, Service Level Agreement (SLA) issue, interoperability and portability, scalability and elasticity, virtualization etc. These issues and challenges motivate researchers to explore further and develop new policies and algorithms to address them.
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