• Network latency: users might get Cloud services from anyplace in the world. In spite of the fact that Cloud resources are distributed, the resources may not be near to the customer location, resulting in high network latency. High network latency results in application timeout, consequently impairing end users from accessing the application.
• Supportability: Cloud may not support all applications. Such as a user might need to leverage the Cloud platform service for their exclusive applications, yet the Cloud provider might not have a perfect Operating System (OS). Therefore, legacy applications may not be supported on Cloud.
• Interoperability: Lack of interoperability between the APIs of various Cloud service providers create complexity and high migration costs for customers with regards to moving starting with one service provider then onto the next.
The following are the challenges for the Cloud computing service providers:
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Then again, user-specific SLAs might be marked between a Cloud service provider and a user. Cloud providers must insure that they have satisfactory resources to provide the required level of services. SLAs ordinarily mention penalty amount, if the Cloud service providers neglect to provide services. Since the Cloud resources are distributed and ceaselessly scaled to meet variable requests, it is a challenge to the Cloud providers to manage physical resources and evaluation the actual expense of providing the