HCloud, a Healthcare-Oriented Cloud System with Improved Efficiency in Biomedical Data Processing - Cloud Computing with e-Science Applications - page 168

8.2.1.5 Data Convergence of Biosensors and Cloud

The method of service delivery is another important factor that affects the
usability of the system. The user of the health cloud system should be pro-
vided with some easy-to-use data collectors, which is unlike general cloud
users, who are only concerned about their data in the cloud. Necessary facili-
ties should also be equipped with a friendly interface to transmit data to the
cloud. For instance, a mobile phone is an appropriate front-end device [15]
and always acts as a gateway into the system. However, seamless data fusion
from signals collected for data processing in the cloud should be a concern.

8.2.2 Architecture of the HCloud Platform

The HCloud will face thousands of potential customers, including physi-
cians and home users who care about their own health status. After analysis
of the requirements of the application, an entire information flow of the
HCloud analysis procedures is depicted as Figure 8.1.
The workflow of the proposed platform comprises three main steps. First,
raw physiological signals are collected from the body sensors by wired or
wireless means. Then, they are transmitted to the cloud platform to store and

Connecting
Data transmission

Data mining

Internet

Cellular
Network

3G

Browser

WEB, WA P, API

Healthcare Services

Medical Image
Cluster

Healthcare
Cloud Platform

3G Mobile
Client

Data Mining
Cluster

Session
Cache

Cloud
Storage

Algorithms
Cluster

Message Queue
Cluster

FIGURE 8.1
Overview of HCloud system.