| Summary: | 博士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === Smart mobile device and wireless networks are reshaping the way people
execute applications and access to information. Thus, more and more people
rely on social networks and on-line transaction services. As a result, personal
data are spreading everywhere in the Internet. However, many users are sensitive
to privacy issues and would like their personal data to be handled like
personal assets. At the same time, people also share and exchange personal
data privately. It is a dilemma that none of the existing mobile applications
and public cloud services can resolve.
Even though there is a significant progress of hardware and software technologies
in recent year, many mobile applications do not perform well due to
the shortage of resources for computation, data storage, network bandwidth,
and battery capacity. While such applications can be re-designed with clientserver
models to benefit from cloud services, the users are no longer in full
control of the application, which has become a serious concern for data security
and privacy.
To protect the personal data, we propose Virtual Phone as a Service(VPaaS)
framework to allow the user to control the deployment and execution of applications
in the virtual environment. In addition to offloading workload from
a physical environment, the virtual environment presents opportunities to enhance
the functionalities of the execution environment in the perspective of
performance speedup and isolation of the user-managed environment. Existing
Android applications can be efficiently accelerated by the framework
without any modification during the whole process.
We further propose an automatic application offloading scheme, called
MobileFBP, which dynamically takes advantage of the personal application
clouds to handle sophisticated workload on-demand based on the profiling information
and network metrics. MobileFBP enables the programmers in developing
dataflow applications that can be executed in mobile-cloud environments.
A typical Android application written in Java can be easily converted
to FBP as one large task component initially and further broken down into
multiple components by declaring the components and expressing the data
flow between the components with the assistance from performance profiling
tools.
Finally, we have developed a framework, COzone, which integrates the
above technologies with open source packages to prove the concept of adaptive
object offloading and showcase multiple offloading modes. The user can
use a weak device to offload and execute personal big-data applications in a
personal virtualized environment with the docker container to have personal
data processed safely and privately. Depending on the security requirement,
the framework is a viable way to avoid the security concerns of exposing private
data to public cloud services.
We have conducted a case study with three personal data analytics applications
to show that object offloading could effectively augment the computing
power on behalf of a weak device and save its battery energy as well. The
case studies also illustrate how easy it is to augment the application with our
API to enable the object offloading capability in the COzone framework.
|
|---|
