In this paper, we present Orchestrator, an active resource orchestration framework for a PAN-scale sensor-rich mobile computing platform. Incorporating diverse sensing devices connected to a mobile phone, the platform will serve as a common base to accommodate personal context-aware applications. A major challenge for the platform is to simultaneously support concurrent applications requiring continuous and complex context processing, with highly scarce and dynamic resources. To address the challenge, we build Orchestrator, which actively coordinates applications' resource uses over the distributed mobile and sensor devices. As a key approach, it adopts an active resource use orchestration, which prepares multiple alternative plans for application requests and selectively applies them according to resource availability and demands at runtime. Through the selection, it resolves resource contention among applications and helps them efficiently share resources. With such system-level supports, applications become capable of providing long-running services under dynamic circumstances with scarce resources. Also, the platform can host a number of applications stably, exploiting its full resource capacity. We build a Orchestrator prototype on off-the-shelf mobile devices and sensor motes and show its effectiveness in terms of application supportability and resource use efficiency.
Context monitoring, Active resource orchestration, PAN-scale sensor-rich environments
IEEE Transactions on Mobile Computing
LEE, Youngki; Min, Chulhong; Ju, Younghyun; Kang, Seungwoo; Rhee, Yunseok; and SONG, Junehwa.
An Active Resource Orchestration Framework for PAN-scale Sensor-rich Environments. (2014). IEEE Transactions on Mobile Computing. 13, (3), 596-610. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2065
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