Energy Efficient Service Delivery in Clouds in Compliance with the Kyoto Protocol

Cloud computing is revolutionizing the ICT landscape by providing scalable and efficient computing resources on demand. The ICT industry - especially data centers, are responsible for considerable amounts of CO2 emissions and will very soon be faced with legislative restrictions, such as the Kyoto protocol, defining caps at different organizational levels (country, industry branch etc.) A lot has been done around energy efficient data centers, yet there is very little work done in defining flexible models considering CO2. In this paper we present a first attempt of modeling data centers in compliance with the Kyoto protocol. We discuss a novel approach for trading credits for emission reductions across data centers to comply with their constraints. CO2 caps can be integrated with Service Level Agreements and juxtaposed to other computing commodities (e.g. computational power, storage), setting a foundation for implementing next-generation schedulers and pricing models that support Kyoto-compliant CO2 trading schemes

Nonlinear Dynamics of Energy Harvester Based on Flow Induced Vibration

AbstractIn this present work, a vertical cantilever piezoelectric energy harvester is proposed that exploits wind energy for vibration. The vertical cantilever is attached with a torsional spring at the base and a tip mass. A square bluff body is attached at the end of the cantilever so that the wind energy could be exploited effectively. The governing nonlinear electromechanical equations of motion for the system are developed using Lagrange principle and were discretized to the temporal form by using generalized Galerkin's method. The equations are solved using method of multiple scales and also using numerical methods. The responses of the system are determined for different wind speeds and load resistances. Time response and phase portraits are plotted to study the system response and influence of different system parameters on voltage generation

Prevalence of Mental Distress and Addiction Habits among Medical Undergraduates

Introduction: Medical education across the globe is perceived as being inherently stressful leading to mental distress in medical undergraduates. Among all psychological problems, stress is one of the common problems faced by medical students. Stress is a situation that leads to tension, pressure or negative emotions such as anxiety, depression and anger. Exposure to chronic stress can lead to both physical and mental illnesses. The stressors among medical students are academic, social, personal and financial. Psychological distress among students reduces their self-esteem, quality of life and academic performance. They may engage in potentially harmful methods of coping with stress such as tobacco, alcohol and substance abuse. Objective: The present study was conducted to determine the prevalence of stressrelated problems among medical undergraduates using DASS 21 scale and also to find prevalence of addiction habits in relation to stress. Methods: It was a cross-sectional study done among medical undergraduate students. Prevalence of psychological mood disorders was assessed by using DASS-21. A pretested and predesigned questionnaire was also prepared assessing correlation of mental distress with sociodemographic characteristics and addiction habits among medical undergraduates. Results: Prevalence of depression, anxiety and stress was found to be very high among medical undergraduates with prevalence being more in females as compared to males. Hostellers were found to have more mental distress as compared to day scholars. As compared to females, males were more engaged in addiction habits mostly consumption of alcohol. Conclusion: Family support, counselling lessons and various other methods of stress management should be given to the medical students to decrease the stress level and make them aware of healthy ways of living

A Study of Production/Injection Data from Slim Holes and Production Wells at the Oguni Geothermal Field, Japan

Production and injection data from slim holes and large-diameter wells at the Oguni Geothermal Field, Japan, were examined in an effort to establish relationships (1) between productivity of large-diameter wells and slim holes, (2) between injectivity and productivity indices and (3) between productivity index and borehole diameter. The production data from Oguni boreholes imply that the mass production from large-diameter wells may be estimated based on data from slim holes. Test data from both large- and small-diameter boreholes indicate that to first order the productivity and the injectivity indices are equal. Somewhat surprisingly, the productivity index was found to be a strong function of borehole diameter; the cause for this phenomenon is not understood at this time

STUDIES ON CONTINUOUS GRINDING PROCESS FOR DRIED WATER CHESTNUT KERNEL

Grinding is a unit operation to break big solid material into smaller pieces. As far as process of grinding is concerned, power consumption, specific energy consumption and particle size distribution and mill capacity are main considerations from engineering point of view. The experiments were conducted to study the effect of speed of mill, sieve size, feed rate and time of grinding on power consumption and average particle diameter of water chestnut in continuous grinding process. Power consumption was measured for a constant feed rate of 1 and 2 kg/h at different speed of the mill varied from 800 to 1200 rpm for the sieve openings of 0.5 mm, 1.0 mm and 2.0 mm. For all the sieve sizes and feed rates, it was observed that as the speed of the mill increases, there is an increase in power consumption and found significantly low for higher sieve size and lower feed rate. The size distribution of the water chestnut kernel for different speeds and sieve sizes at constant feed rate were obtained by sieve analysis. The milling speed has no significant effect on particle size distribution of ground product and mass fraction was minimum at lower feed rate and higher sieve size. Harris model was found best suitable to describe the size distribution in continuous grinding process. Fineness modulus decreases with increase of milling speed for experimental sieve size and feed rate

Cloudbus Toolkit for Market-Oriented Cloud Computing

This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3rd party Cloud brokering services for building content delivery networks and e-Science applications and their deployment on capabilities of IaaS providers such as Amazon along with Grid mashups; (iv) CloudSim supporting modelling and simulation of Clouds for performance studies; (v) Energy Efficient Resource Allocation Mechanisms and Techniques for creation and management of Green Clouds; and (vi) pathways for future research.Comment: 21 pages, 6 figures, 2 tables, Conference pape

A Study of Production/Injection Data from Slim Holes and Large-Diameter Wells at the Takigami Geothermal Field, Kyushu, Japan

Production and injection data from nine slim holes and sixteen large-diameter wells at the Takigami Geothermal Field, Kyushu, Japan were analyzed in order to establish relationships (1) between injectivity and productivity indices, (2) between productivity/injectivity index and borehole diameter, and (3) between discharge capacity of slim holes and large-diameter wells. Results are compared with those from the Oguni and Sumikawa fields. A numerical simulator (WELBOR) was used to model the available discharge rate from Takigami boreholes. The results of numerical modeling indicate that the flow rate of large-diameter geothermal production wells with liquid feedzones can be predicted using data from slim holes. These results also indicate the importance of proper well design

Strategy for Mitigating DKA Risk in Patients with Type 1 Diabetes on Adjunctive Treatment with SGLT Inhibitors: A STICH Protocol

Diabetic ketoacidosis (DKA) is a serious complication of diabetes that occurs primarily in type 1 diabetes (T1D), although it may also affect patients with other forms of insulin-dependent diabetes and may occur in new-onset type 2 diabetes. Insulin deficiency is associated with an increase in glucagon and excessive lipolysis with increased oxidation of fatty acids to ketone bodies in the liver and ketonemia. Ketosis may advance to metabolic acidosis. For DKA to be diagnosed, both ketosis and acidosis must be present. If not recognized and/or treated early, it can become serious and life-threatening; 168,000 patients were admitted to U.S. hospitals for DKA in 2014