InSik Shin
Korea Advanced Institute of Science and Technology · Computer Science
About the Lab
Professor InSik Shin's research lab specializes in real-time systems, with a focus on compospositional scheduling frameworks that enable the systematic design and analysis of complex, component-based real-time systems. The lab develops formal models and algorithms for abstracting and composing timing requirements across hierarchical and distributed schedulers, particularly using periodic and bounded-delay resource models. Key research directions include hard real-time guarantees, multiprocessor scheduling (including cluster-based and global approaches), and interface synthesis for subsystems under resource sharing constraints. The lab also explores tradeoffs between CPU allocation and resource locking in fixed-priority scheduling environments.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15We address the problem of providing compositional hard real-time guarantees in a hierarchy of schedulers. We first propose a resource model to characterize a periodic resource allocation and present exact schedulability conditions for our proposed resource model under the EDF and RM algorithms. Using the exact schedulability conditions, we then provide methods to abstract the timing requirements that a set of periodic tasks demands under the EDF and RM algorithms as a single periodic task. With
Our goal is to develop a compositional real-time scheduling framework so that global (system-level) timing properties can be established by composing independently (specified and) analyzed local (component-level) timing properties. The two essential problems in developing such a framework are: (1) to abstract the collective real-time requirements of a component as a single real-time requirement and (2) to compose the component demand abstraction results into the system-level real-time requiremen
It is desirable to develop large complex systems using components based on systematic abstraction and composition. Our goal is to develop a compositional real-time scheduling framework to support abstraction and composition techniques for real-time aspects of components. In this paper, we present a formal description of compositional real-time scheduling problems, which are the component abstraction and composition problems. We identify issues that need be addressed by solutions and provide our
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much attention in the recent past. It is widely believed that finding an optimal scheduler is hard, and therefore most studies have focused on developing algorithms with good utilization bounds. These algorithms can be broadly classified into two categories: partitioned scheduling in which tasks are statically assigned to individual processors, and globalscheduling in which each task is allowed to execu
This paper presents algorithms that (1) facilitate system-independent synthesis of timing-interfaces for subsystems and (2) system-level selection of interfaces to minimize CPU load. The results presented are developed for hierarchical fixed-priority scheduling of subsystems that may share logical recourses (i.e. semaphores). We show that the use of shared resources results in a tradeoff problem, where resource locking times can be traded for CPU allocation, complicating the problem of finding t
BACKGROUND: Cell cycle process of budding yeast (Saccharomyces cerevisiae) consists of four phases: G1, S, G2 and M. Initiated by stimulation of the G1 phase, cell cycle returns to the G1 stationary phase through a sequence of the S, G2 and M phases. During the cell cycle, a cell verifies whether necessary conditions are satisfied at the end of each phase (i.e., checkpoint) since damages of any phase can cause severe cell cycle defect. The cell cycle can proceed to the next phase properly only i
Boolean networks have been widely used to model biological processes lacking detailed kinetic information. Despite their simplicity, Boolean network dynamics can still capture some important features of biological systems such as stable cell phenotypes represented by steady states. For small models, steady states can be determined through exhaustive enumeration of all state transitions. As the number of nodes increases, however, the state space grows exponentially thus making it difficult to fin
In addition to real-time requirements, program code size is a critical design factor for real-time embedded systems. To take advantage of the code size vs. execution time trade off provided by reduced bit-width instructions, we propose a design framework that transforms system constraints into task parameters guaranteeing a set of requirements. The goal of our design framework is to derive the temporal parameters and code size parameter of each task in such a way that they collectively guarantee
Research Areas
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