In this paper, a data acquisition and integration platform for internet of things is proposed. The platform is developed under a cloud computing environment using context-oriented approaches. It collects sensor data from different types of sensor devices, including such as RFID, ZigBee sensors, GPS devices, temperature sensors, humidity sensors, luminance sensors, etc. First we are devoted to the study of deployment, management, and control of different types of sensors for automatic acquisition of sensor data and its related ambient information, both of which will be stored in the IoT repository in a cloud environment. Then, context-oriented mechanisms are developed to produce context data. With the devised context broker, the data retrieved from the IoT repository can be used to produce the contextual portfolio, which is annotated with semantic description. The contextual portfolio will then be stored into a cloud database as the User Portfolio. Finally, services for accessing the User Portfolio in the cloud are developed on a middleware platform, which is compliant with the OSGi standard. With the proposed platform, the acquired data is integrated into semantic contexts, which can be easily shared and reused among different mobile applications. Also, the context information can enhance mobile applications' usability by adapting to conditions that directly affect their operations.

Modern computing platforms usually use multiple sensors to report system information. In order to achieve high availability (HA) for the platform, the sensors can be used to efficiently detect system faults that make a cloud service not live. However, a sensor may fail and disable HA protection. In this case, human intervention is needed, either to change the original fault model or to fix the sensor fault. Therefore, this study proposes an HA mechanism that can continuously provide HA to a cloud system based on dynamic fault model reconstruction. We have implemented the proposed HA mechanism on a four-layer OpenStack cloud system and tested the performance of the proposed mechanism for all possible sets of sensor faults. For each fault model, we inject possible system faults and measure the average fault detection time. The experimental result shows that the proposed mechanism can accurately detect and recover an injected system fault with disabled sensors. In addition, the system fault detection time increases as the number of sensor faults increases, until the HA mechanism is degraded to a one-system-fault model, which is the worst case as the system layer heartbeating.

Observe the most progressive conference system in the market, a higher meeting quality is always being pursued with better equipment, no matter on the personalized laptop, touch pad, direct microphone, or other high quality recording video equipment. It is known that to establish this system with low price is difficult. This paper aims to solve this predicament and contributes a higher quality to the smart meeting room. Hence, we combine Microsoft Kinect and Bluetooth techniques to build an smart conference system with personalized Bluetooth supported equipment to identify each participant's identity, and use these IDs to search the central database in order to retrieve his/her contact information (phone number, email, web storage space and text, or meeting records). Consequently, the system uses Kinect as a gesture recognition device to detect each person's skeletons with multi functions (Controlling the computer, sending information, auto-uploading files, or recording personal meeting records in database). Smart meeting room can be established with simplified equipment in this way. In this smart meeting room, participants don't need to bring additional equipment but only to use his/her Bluetooth supported cell phone. As for the arrangement of the meeting room, besides the central computer, we only need Kinect to provide the gesture recognizing and detecting works, and to record the meeting records (text and video). This simplified smart conference room can provide great benefits for the users, this is the main purpose of this paper.