1.9.2 Deployment Models:. Different Deployment Models Are

1696 WordsFeb 28, 20177 Pages
1.9.2 Deployment Models: Different deployment models are designed to support a variation of consumers’ privacy requirements for cloud adoption. NIST defines cloud deployment models as public, private, community, and hybrid [6]. A cloud system can be operated in one of the following four deployment models: 1.9.2.1 Public cloud: The cloud infrastructure is generally owned and managed by the service provider. Multiple customers share the computing resources provides by a single service provider, customers can quickly access these resources and only pay for the operating resources. The customer has no visibility over the location of the cloud computing infrastructure and infrastructure is shared between organizations. Public clouds are shared…show more content…
1.10 Load Equilibrium Load stability is a process to achieve finest resource utilization, increase throughput, reduction response-time plus avoid under-provisioning. Static algorithms are less effective than the dynamic algorithms. Dynamic algorithm is helpful to allotment of load among virtual machines of the cloud at run time. This algorithm always uses previous load results to making distribution decisions. Due to these results dynamic load balancing algorithm give a major enhancement in performance over static algorithms [1]. Load balancing is a method to strength network data processing capability, increase the flexibility and availability of the network. Using multiple components with load balancing, instead of a single component, to provide external services can solve the problem of insufficient processing capacity of a single host, and can also solve the challenges posed by concurrent access due to the importance of load balancing scheduling, which is the key issue as this a scheduling algorithm based on dynamic policy. Although dynamic load balancing exerts immense stress on a system and each node needs to interchange status information periodically yet it is more advantageous when most of nodes work in individual manner with partial interaction with others. Load balancing algorithm in a cloud can be classified into two categories. These are: 1. Static Load Balancing. 2. Dynamic Load

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