Economic impact of energy saving techniques in cloud server

In recent years, lot of research has been carried in the field of cloud computing and distributed systems to investigate and understand their performance. Economic impact of energy consumption is of major concern for major companies. Cloud Computing companies (Google, Yahoo, Gaikai, ONLIVE, Amazon and eBay) use large data centers which are comprised of virtual computers that are placed globally and require a lot of power cost to maintain. Demand for energy consumption is increasing day by day in IT firms. Therefore, Cloud Computing companies face challenges towards the economic impact in terms of power costs. Energy consumption is dependent upon several factors, e.g., service level agreement, virtual machine selection techniques, optimization policies, workload types etc. We address a solution for the energy saving problem by enabling dynamic voltage and frequency scaling technique for gaming data centers. The dynamic voltage and frequency scaling technique is compared against non-power aware and static threshold detection techniques. This helps service providers to meet the quality of service and quality of experience constraints by meeting service level agreements. The CloudSim platform is used for implementation of the scenario in which game traces are used as a workload for testing the technique. Selection of better techniques can help gaming servers to save energy cost and maintain a better quality of service for users placed globally. The novelty of the work provides an opportunity to investigate which technique behaves better, i.e., dynamic, static or non-power aware. The results demonstrate that less energy is consumed by implementing a dynamic voltage and frequency approach in comparison with static threshold consolidation or non-power aware technique. Therefore, more economical quality of services could be provided to the end users

Impact of Role Clarity and Strategic Fit on Average Project Success: Moderating Role of Market Turbulence on Telecom Companies of Pakistan

Advancement in technology has reshaped the businesses across the globe forcing companies to perform tasks and activities in the form of projects. Stakeholder behavior, stakeholder management, strategic fit, role and task clarity are some of the factors that redesign the project success. The current study examine the impact of strategic fit and role clarity on the Average project success and further it enlightens the moderating role of Market turbulence on the relationship between the aforementioned independent and dependent variables. The population of the study comprises of telecom sector of Pakistan. The Data was collected from 201 project team members working on diverse project in Telecom companies of Rawalpindi and Islamabad. The Data was gathered through a questionnaires measured on Likert scale adopted from the study of Beringer, Jonas & Kock (2013). Each Questionnaire comprises of 3 items to measure each variable. SPSS 20.0 Version was used to analyze the data by applying Pearson correlation and multiple regression analysis technique. Findings depicted that role clarity and strategic fit contributed significantly in enhancing success of a project. Results further evidenced that market turbulence negatively moderated the relationship of independent variables on Average project success. The study at the end highlights recommendations for the future researchers