Search for: All records

Network measurement is critical in network management such as performance monitoring, diagnosis, and traffic engineering. However, conventional network measurement software tools are inadequate in high-speed network at scale. They also lack an event-driven mechanism to automate complex network measurement process. In this paper, we present Edi-son which contains an high performance measurement backend (Ares) to collect flow metrics, driven with an expressive frontend (Equery) to enable the composition of complex measurement tasks. Finally, we evaluate the effectiveness of our Edison framework on a distributed measurement platform deployed for 100Gbps international research networks. 

In the digital healthcare era, it is utmost important to harness medical information scattered across healthcare institutions to support in-depth data analysis. However, the boundaries of cyberinfrastructure of healthcare providers place obstacles on data sharing. In this position paper, we firstly identify the challenges of medical data sharing and management. Then we introduce the background and give a brief survey on the state-of-the-art. Finally, we conclude the paper by discussing a few possible research directions to cope with the challenges in current medical information sharing. 

Healthcare network and computing infrastructure is rapidly changing from closed environments to open environments that incorporate new devices and new application scenarios. Home-based healthcare is such an example of leveraging pervasive sensors and analyzing sensor data (often in real-time) to guide therapy or intervene. In this paper, we address the challenges in regulatory compliance when designing and deploying healthcare applications on a heterogeneous cloud environment. We propose the CareNet framework, consisting of a set of APIs and secure data transmission mechanisms, to facilitate the specification of home-based healthcare services running on the software-defined infrastructure (SDI). This work is a collaboration among computer scientists, medical researchers, healthcare IT and healthcare providers, and its goal is to reduce the gap between the availability of SDI and meeting regulatory compliance in healthcare applications. Our prototype demonstrates the feasibility of the framework and serves as testbed for novel experimental studies of emerging healthcare applications. 

Healthcare network and computing infrastructure is rapidly changing from closed environments to open environments that incorporate new devices and new application scenarios. Home-based healthcare is such an example of leveraging pervasive sensors and analyzing sensor data (often in real-time) to guide therapy or intervene. In this paper, we address the challenges in regulatory compliance when designing and deploying healthcare applications on a heterogeneous cloud environment. We propose CareNet framework, consisting of a set of abstraction and APIs, to allow the specification of compliance requirements. This work is a collaboration among computer scientists, medical researchers, healthcare IT and healthcare providers, and its goal is to reduce the gap between the availability of software defined infrastructure and meeting regulatory compliance in healthcare applications.