An Analysis of Efficient and ECO- Friendly Green Cloud Computing Techniques

A more noteworthy exertion is expected to build the electrical energy effectiveness of cloud server farms because of the rising interest for distributed computing administrations welcomed on by computerized change and the high versatility of the cloud. This study proposes and surveys an energy-Efficient (EE) system for expanding the adequacy of electrical energy use in server farms. The recommended engineering depends on both the booking of solicitations and the union of servers, rather than depending on just a single system, as in past works that have proactively been distributed. Prior to planning, the EE structure sorts the solicitations (errands) from the clients as per their time and power prerequisites. It has a planning calculation that settles on booking choices while considering power utilization. Furthermore, it includes a combination calculation that recognizes which servers are over-burden, which servers are under stacked and ought to be made it lights-out time or sleep, which servers ought to be moved, and which servers will acknowledge relocated servers. A relocation component for moving relocated virtual machines to new servers is likewise essential for the EE system. Aftereffects of recreation preliminaries show that, concerning power use effectiveness (PUE), data centre energy productivity (DCEP), normal execution time, throughput, and cost investment funds, the EE system is better than approaches that depend on utilizing just a single way to deal with decrease power use

Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems

A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics

This paper proposes a special-purpose system to achieve high-accuracy and high-efficiency machine learning (ML) molecular dynamics (MD) calculations. The system consists of field programmable gate array (FPGA) and application specific integrated circuit (ASIC) working in heterogeneous parallelization. To be specific, a multiplication-less neural network (NN) is deployed on the non-von Neumann (NvN)-based ASIC (SilTerra 180 nm process) to evaluate atomic forces, which is the most computationally expensive part of MD. All other calculations of MD are done using FPGA (Xilinx XC7Z100). It is shown that, to achieve similar-level accuracy, the proposed NvN-based system based on low-end fabrication technologies (180 nm) is 1.6x faster and 10^2-10^3x more energy efficiency than state-of-the-art vN based MLMD using graphics processing units (GPUs) based on much more advanced technologies (12 nm), indicating superiority of the proposed NvN-based heterogeneous parallel architecture

Data Privacy and Trust in Cloud Computing

This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. Cloud technology has fueled rapid, dramatic technological change, enabling a level of connectivity that has never been seen before in human history. However, this brave new world comes with problems. Several high-profile cases over the last few years have demonstrated cloud computing's uneasy relationship with data security and trust. This volume explores the numerous technological, process and regulatory solutions presented in academic literature as mechanisms for building trust in the cloud, including GDPR in Europe. The massive acceleration of digital adoption resulting from the COVID-19 pandemic is introducing new and significant security and privacy threats and concerns. Against this backdrop, this book provides a timely reference and organising framework for considering how we will assure privacy and build trust in such a hyper-connected digitally dependent world. This book presents a framework for assurance and accountability in the cloud and reviews the literature on trust, data privacy and protection, and ethics in cloud computing

Digital video technology - today and tomorrow: 11th office information technology conference

Digital video is probably computing`s fastest moving technology today. Just three years ago, the zenith of digital video technology on the PC was the successful marriage of digital text and graphics with analog audio and video by means of expensive analog laser disc players and video overlay boards. The state of the art involves two different approaches to fully digital video on computers: hardware-assisted and software-only solutions

THE DIGITAL SKILLS CRISIS: ENGENDERING TECHNOLOGY–EMPOWERING WOMEN IN CYBERSPACE

This paper examines the latest research on the digital skills crisis, focusing on the factors that contribute to digital exclusion. Through an extensive analysis of current literature on the digital divide, the authors discuss digital skills gaps, namely the exclusion of a sizeable part of the workforce from the digital market economy—and women in particular. Studies indicate that exclusion from the digital market is augmented and reinforced when combining the gender dimension with other exclusionary factors such as disability, age, race and socioeconomic background. Research confirms that the gender imbalance in ICT and related sectors persists today, despite decades of equal opportunity policies, legislation and government initiatives. Women are still underrepresented and digitally excluded and efforts to attract, recruit and retain girls and women in ICT and STEM seem to be failing, reinforcing the gender gaps: participation gap, pay gap, and leadership gap, a result of the deep-rooted gender order reflected in the latest Global Gender Gap Report and Index. A growing body of research of the twenty-first shows that inspiring girls and women into technology—increasing the talent pool in ICT and STEM— requires engendering technology, eliminating gender stereotypes, and raising the profile of female role models and mentors. Studies repeatedly argue that engendering technology entails women’s agency and economic empowerment. Accordingly, the authors include recommendations from inspirational role models and mentors, three successful women in ICT, STEM and Information Society who have made a difference. All three, following a series of semi-structured interviews, propose engendering technology to increase the female talent pool in addition to engendering STEM education, that is to say, including the gender dimension.  Article visualizations