Browsing by Author "Lai Yuan-Cheng"
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Item type:Item, DECISION METHOD CONSIDERING TIME AND POWER CONSUMPTION FOR OFFLOADING COMPUTATION AND COMPUTING SYSTEM(2013-08-08) ;Lin Ying-Dar ;Huang Ting-Jun ;Lai Yuan-ChengChu Tsung-HsienA decision method considering time and power consumption for offloading computations is provided. The method includes: obtaining a computing mission; obtaining a plurality of static effect factors from an effect factor table; collecting a plurality of dynamic effect factors. The method also includes: generating power consumptions and computing time that each of the computing unit and each of the server consumes according to the dynamic effect factors and the static effect factors; calculating cost values of executing the computing mission according to the power consumptions and the computing time; determining a target unit to execute the computing mission according to the cost values, in which the target unit is a computing unit or a server; executing the computing mission by the target unit. Therefore, the power consumptions and the computing time are simultaneously considered, and computations are adequately allocated to one of the computing unit and the servers.Item type:Item, Machine-implemented method and system for determining whether a to-be-analyzed software is a known malware or a variant of the known malware(2013-08-06) ;Chiang Yi-Ta ;Lin Ying-Dar ;Wu Yu-SungLai Yuan-ChengA machine-implemented method for determining whether a to-be-analyzed software is a known malware or a variant of the known malware includes the steps of: (A) configuring a processor to execute the to-be-analyzed software, and obtain a to-be-analyzed system call sequence that corresponds to the to-be-analyzed software with reference to a plurality of system calls made in sequence as a result of executing the to-be-analyzed software; (B) configuring the processor to determine a degree of similarity between the to-be-analyzed system call sequence and a reference system call sequence that corresponds to the known malware; and (C) configuring the processor to determine that the to-be-analyzed software is neither the known malware nor a variant of the known malware when the degree of similarity determined in step (B) is not greater than a predefined similarity threshold value.Item type:Item, MACHINE-IMPLEMENTED METHOD AND SYSTEM FOR DETERMINING WHETHER A TO-BE-ANALYZED SOFTWARE IS A KNOWN MALWARE OR A VARIANT OF THE KNOWN MALWARE(2012-05-17) ;Chiang Yi-Ta ;Lin Ying-Dar ;Wu Yu-SungLai Yuan-ChengA machine-implemented method for determining whether a to-be-analyzed software is a known malware or a variant of the known malware includes the steps of: (A) configuring a processor to execute the to-be-analyzed software, and obtain a to-be-analyzed system call sequence that corresponds to the to-be-analyzed software with reference to a plurality of system calls made in sequence as a result of executing the to-be-analyzed software; (B) configuring the processor to determine a degree of similarity between the to-be-analyzed system call sequence and a reference system call sequence that corresponds to the known malware; and (C) configuring the processor to determine that the to-be-analyzed software is neither the known malware nor a variant of the known malware when the degree of similarity determined in step (B) is not greater than a predefined similarity threshold value.Item type:Item, Method and system for offloading a computation to other computing units in the same device or to a server on a network based upon a computing time and a power consumption of each of the computing units and the server(2015-01-27) ;Lin Ying-Dar ;Huang Ting-Jun ;Lai Yuan-ChengChu Tsung-HsienA decision method considering time and power consumption for offloading computations is provided. The method includes: obtaining a computing mission; obtaining a plurality of static effect factors from an effect factor table; collecting a plurality of dynamic effect factors. The method also includes: generating power consumptions and computing time that each of the computing unit and each of the server consumes according to the dynamic effect factors and the static effect factors; calculating cost values of executing the computing mission according to the power consumptions and the computing time; determining a target unit to execute the computing mission according to the cost values, in which the target unit is a computing unit or a server; executing the computing mission by the target unit. Therefore, the power consumptions and the computing time are simultaneously considered, and computations are adequately allocated to one of the computing unit and the servers.Item type:Item, POWER-SAVING DATA SCHEDULING SYSTEM IN LTE AND METHOD THEREOF(2015-05-14) ;Lin Ying-Dar ;Kuo Yu-Hsien ;Tung Li-PingLai Yuan-ChengA power-saving data scheduling system for LTE and a method thereof are provided. The power-saving data scheduling system includes a period decision module for selecting a cycle having a shortest delay time as a discontinuous reception (DRX) cycle for each of user from quality of service (QoS) requirements related to network services and channel conditions, and a start offset decision module for calculating the number of users in each of periods of the DRX cycle. In addition, a DRX-aware scheduling module is provided for extending the on period by increasing priority of the user and resetting an inactivity timer if a period required by the user's load is shorter than an off period. Optimal DRX parameters and DRX-aware scheduling are used to resolve the existing issues that the channel conditions, system load and QoS are not taken into consideration when the DRX parameters are determined. In addition, the DRX parameters of a user may be changed dynamically without updating all other users' parameters so as to avoid consuming unnecessary power. Moreover, a power-saving data scheduling method for LTE is also provided.Item type:Item, SYSTEM FOR REAL TRAFFIC REPLAY OVER WIRELESS NETWORKS(2013-12-05) ;Lin Ying-Dar ;Ku Chia-Yu ;Li Pei-HsuanLai Yuan-ChengA real traffic replay over wireless networks with environment emulation and an event-driven automata-synchronized replay method are disclosed. The system includes a first traffic capture module configured to capture packet traces and environment effects in a real environment, a first event transform module configured to transform the packet traces into a sequence of events, and a reproduce module configured to receive the environment effects from the first traffic capture module and the sequence of events from the first event transform module such as to control a replay of the environment effects in the real environment and the sequence of events coordinately by means of automata.Item type:Item, System for real traffic replay over wireless networks(2015-01-20) ;Lin Ying-Dar ;Ku Chia-Yu ;Li Pei-HsuanLai Yuan-ChengA real traffic replay over wireless networks with environment emulation and an event-driven automata-synchronized replay method are disclosed. The system includes a first traffic capture module configured to capture packet traces and environment effects in a real environment, a first event transform module configured to transform the packet traces into a sequence of events, and a reproduce module configured to receive the environment effects from the first traffic capture module and the sequence of events from the first event transform module such as to control a replay of the environment effects in the real environment and the sequence of events coordinately by means of automata.