Mobile cloud computing allows mobile devices to access and store data and applications on remote servers, thereby increasing their storage capacity.

Mobile cloud computing is not device-centric, as it focuses on providing services to mobile devices rather than being tied to specific devices.

Mobile cloud convergence refers to the seamless integration of mobile devices with cloud services, allowing for the exchange of data and applications between them.

Function as a Service (FaaS) is not a type of mobile cloud computing service, as it is a cloud computing model that allows developers to run code without managing servers or infrastructure.

Network connectivity issues are a primary challenge in mobile cloud computing, as mobile devices often rely on unstable or intermittent network connections.

Improved security is not a benefit of using mobile cloud computing for businesses, as cloud computing introduces additional security risks and concerns.

Elastic scalability refers to the ability of mobile cloud computing services to adapt to changing network conditions by dynamically allocating and releasing resources as needed.

Edge computing is not a key technology enabler of mobile cloud computing, as it focuses on processing data at the edge of the network rather than in the cloud.

Task offloading refers to the process of transferring computation-intensive tasks from mobile devices to cloud servers to improve performance and conserve resources.

Device theft is not a security concern specifically associated with mobile cloud computing, as it is a general security risk for mobile devices regardless of whether they are connected to the cloud.

Device independence refers to the ability of mobile cloud computing services to provide consistent experiences across different devices and platforms, allowing users to access their data and applications from any device.

Medical imaging is not a potential application of mobile cloud computing in healthcare, as it typically involves large and complex data sets that are not suitable for transmission over mobile networks.

Real-time analytics refers to the ability of mobile cloud computing services to analyze data in real time and provide insights to mobile devices, enabling quick decision-making and proactive actions.

High cost of cloud services is not a key challenge in the implementation of mobile cloud computing, as cloud services are typically offered on a pay-as-you-go basis, making them cost-effective for many organizations.

Context-aware computing refers to the ability of mobile cloud computing services to provide personalized experiences to users based on their preferences and context, such as location, time, and device type.