Scheduling divisible jobs to optimize the computation and energy costs

The important challenge in cloud computing environment is to design a scheduling strategy to handle jobs, and to process them in a heterogeneous environment with shared data centers. In this paper, we attempt to investigate a new analytical framework model that enables an existing private cloud data-center for scheduling jobs and minimizing the overall computation and energy cost together. Our model is based on Divisible Load Theory (DLT) model to derive closed-form solution for the load fractions to be assigned to each machines considering computation and energy cost. Our analysis also attempts to schedule the jobs such a way that cloud provider can gain maximum benefit for his service and Quality of Service (QoS) requirement user’s job. Finally, we quantify the performance of the strategies via rigorous simulation studies

Development and Application of Fiber Optic-Based Thermal Wave Resonant Cavity Technique for Measurement of Thermal Diffusivity of Liquids

In the study a thermal wave resonant cavity technique (TWRC) was set up and was used to measure thermal diffusivity of various types of liquids. In this technique the thermal diffusivity was determined by scanning the cavity length, instead of frequency, that has a high signal-to-noise ratio in thermally thick case. By using metal foil that attached to a tube as the thermal wave (TW) generator the calibration of the conventional TWRC set up was done on distilled water and the thermal diffusivity value, i.e. 1.44×10-3 cm2/s, agrees with literature value. Further, a few liquids thermal diffusivity, including crude palm (0.988×10-3 cm2/s), soy bean (1.06×10-3 cm2/s), corn oil (0.934×10-3 cm2/s), were determine by using this set up. In this set up the TW is enough to be regarded as rays reflecting and transmitting in cavity. Later the metalized optical fiber tip was used to generate TW instead of metal foil attached to a tube as in the case of conventional TWRC technique. A polymer optical fiber tip or free end coated with silver conductive paint was used to generate TW, by moving this tip with respect to detector and the liquid thermal diffusivity was obtained in a thermally thick region. The thermal diffusivity of distilled water, glycerol, and five different types of cooking oil used which are sunflower, soy bean, olive, corn and palm oils were determined with four-significant-figure at room temperature. These values are in good agreement to the values reported in literatures. The TW field was calculated in a three-dimensional approach. The calculations show that the dimensionality of the TW field in the cavity depends on the lateral (radial) heat transfer boundary conditions and the relation between the laser beam spot size and TW generator diameter. The three-dimensional treatment of the metalised fiber tip was reduced to one-dimensional treatment by using a relatively bigger TW generator diameter compared to laser beam spot size. The set up using optical fiber end also was used to determine thermal diffusivity of a two-layer which is normally difficult to achieve in the conventional large area metal foil due to contact problem. In order to check the validity of the proposed model, the method was experimentally tested for distilled water and glycerol; the values obtained were close to the literature values. A good linear relation of the amplitude with respect to cavity length in thermally thick region of both media was observed. In other TWRC methods the thermal diffusivity values can be obtained by measuring the relative distance of two adjacent extrema. The thermal diffusivity values were obtained by this method compare with “fitting data” method

A suggested solution for the ejector problem

Call number: LD2668 .R4 1963 S56

A novel multilayer neural network model for TOA-based localization in wireless sensor networks

A novel multilayer neural network model, called artificial synaptic network, was designed and implemented for single sensor localization with time-of-arrival (TOA) measurements. In the TOA localization problem, the location of a source sensor is estimated based on its distance from a number of anchor sensors. The measured distance values are noisy and the estimator should be able to handle different amounts of noise. Three neural network models: the proposed artificial synaptic network, a multi-layer perceptron network, and a generalized radial basis functions network were applied to the TOA localization problem. The performance of the models was compared with one another. The efficiency of the models was calculated based on the memory cost. The study result shows that the proposed artificial synaptic network has the lowest RMS error and highest efficiency. The robustness of the artificial synaptic network was compared with that of the least square (LS) method and the weighted least square (WLS) method. The Cramer-Rao lower bound (CRLB) of TOA localization was used as a benchmark. The model's robustness in high noise is better than the WLS method and remarkably close to the CRLB

組織学的情報と医用画像に基づく動脈硬化病変部の力学特性の解明に関する研究

九州工業大学博士学位論文（要旨）学位記番号：生工博甲第248号 学位授与年月日平成28年3月25

An improved simulated annealing algorithm to avoid crosstalk in optical omega network

A major problem called crosstalk is introduced by Optical Omega Network (OON), which is caused by coupling two signals within a Switching Element (SE). It is important to focus on an efficient solution to avoid crosstalk, which is routing the traffic through an N times N optical network to avoid coupling two signals within each SE. Optimal routing in OON is an NP-hard problem. Many heuristic algorithms were designed by many researchers to perform this routing. Routing the messages in degree-decreasing of the message conflicts gave best performance among them. When Simulated Annealing (SA) algorithm was used to solve the problem, it gave good results. It is a good idea to use these two algorithms to improve the performance. This paper presents an Improved SA (ISA) for message routing in OON that combines SA algorithm with the best heuristic algorithms. Simulation Results show that the proposed ISA can be a competitive choice for solving the crosstalk problem