Green Cloud

Author(s):  
Swati Srivastava ◽  
Gaurav Srivastava ◽  
Roheet Bhatnagar

Distributed computing is an incredible region of information and correspondence progressions, introducing current challenges for environmental security. These advances have a diversity of use spaces, since they offer flexibility, are trustworthy and dependable, and offer prevalent at tolerably negligible exertion. The conveyed figuring rebellion is updating current frameworks organization, and offering promising biological protection prospects, for example, money related and inventive field of premium. The developments can improve quality yield and to shrink carbon impressions and (e-)waste. The structures can change by dispersed processing into green circulated registering. Finally, future research headings and open issues with respect to green circulated registering are shown. This outline is intended to fill in as best in class bearing to investigate green distributed computing.

Author(s):  
Leonardo J. Gutierrez ◽  
Kashif Rabbani ◽  
Oluwashina Joseph Ajayi ◽  
Samson Kahsay Gebresilassie ◽  
Joseph Rafferty ◽  
...  

The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work.


2021 ◽  
pp. 105678952110632 ◽  
Author(s):  
George Z Voyiadjis ◽  
Bilal Ahmed ◽  
Taehyo Park

In this part II, companion article, we present the numerical review of continuum damage mechanics and plasticity in the context of finite element. The numerical advancements in local, nonlocal, and rate-dependent models are presented. The numerical algorithms, type of elements utilized in numerical analysis, the commercial software’s or in-house codes used for the analysis, iterative schemes, explicit or implicit approaches to solving finite element equations, and degree of continuity of element are discussed in this part. Lastly, some open issues in concrete damage modeling and future research needed are also discussed.


Author(s):  
Mariah DeSerisy ◽  
Christen M. Deveney

A better understanding of neurocognitive mechanisms underlying irritability has the potential to inform treatments and improve quality of life for the children for whom this symptom is severe and persistent. This chapter examines the existing behavioral and psychophysiological investigations into irritability-related mechanisms in youth. Together, these measures provide insight into the cognitive and socioemotional abilities of youth with irritability. Existing research explores three domains: executive functioning, reward processing, and responses to emotional stimuli. Although deficits have been observed in each domain, the strongest evidence exists for atypical frustrative nonreward responses (i.e., when an expected reward is not received), face emotion identification deficits, and increased attention toward threatening faces. We discuss limitations to the existing literature and propose avenues for future research, including exploring cognitive-emotion interactions, using dimensional measures of irritability, and examining whether deficits are unique to irritability or related to co-occurring symptoms.


2019 ◽  
Vol 18 (4) ◽  
pp. 611-619
Author(s):  
Stefano Camatarri

After several decades of debate on the so-called protest vote, the extant literature in this field is still far from consistent in conceptualization and analytical perspectives. Yet, at a time of increasing democratic stress, it becomes crucial for political studies to take stock of current research on this topic and assess its general state of health. In the light of this, aim of the present contribution is to piece together the puzzle of analytical perspectives from which scholars and pundits have approached the matter over the years. First, this article will do so at a conceptual level, disentangling different conceptualizations of protest voting. In parallel, it will do so at the technical and empirical level, categorizing both operationalization strategies and findings into alternative strands of research. As a last step, it will summarize the still open issues, organizing them within a unified platform and identifying possible lines of development for future research.


Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 972 ◽  
Author(s):  
Yasin Kabalci ◽  
Ersan Kabalci ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
Frede Blaabjerg

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.


Author(s):  
Massimo G. Colombo ◽  
Marco Delmastro ◽  
Larissa Rabbiosi

This chapter provides a critical survey of the stream of studies that have examined the effect of organizational design decisions on firm performance. The focus is on selected organizational design dimensions that can be measured using quantitative indicators, notably i) organizationalconfiguration, ii) allocation of decision-making authority, and iii) adoption offormal organizational practices. The aim is to highlight ‘stylized facts’ supported by robust quantitative empirical findings, and to link them to insights provided by theoretical work. Moreover, we consider firm-, industry-, and country-specific factors that moderate the organizational design-firm performance relation. In reviewing this emergent and still quite fragmented empirical literature, we also take the opportunity to present open issues, and to indicate avenues for future research.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2409 ◽  
Author(s):  
Mathias Baert ◽  
Jen Rossey ◽  
Adnan Shahid ◽  
Jeroen Hoebeke

Mesh networks enable a many-to-many relation between nodes, which means that each node in the network can communicate with every other node using multi-hop communication and path diversity. As it enables the fast roll-out of sensor and actuator networks, it is an important aspect within the Internet of Things (IoT). Utilizing Bluetooth Low Energy (BLE) as an underlying technology to implement such mesh networks has gained a lot of interest in recent years. The result was a variety of BLE meshing solutions that were not interoperable because of the lack of a common standard. This has changed recently with the advent of the Bluetooth Mesh standard. However, a detailed overview of how this standard operates, performs and how it tackles other issues concerning BLE mesh networking is missing. Therefore, this paper investigates this new technology thoroughly and evaluates its performance by means of three approaches, namely an experimental evaluation, a statistical approach and a graph-based simulation model, which can be used as the basis for future research. Apart from showing that consistent results are achieved by means of all three approaches, we also identify possible drawbacks and open issues that need to be dealt with.


2020 ◽  
Author(s):  
Archana Patil ◽  
Patil Rekha

Today cloud computing became an impressive solution to address the challenges in storage and process of high volume data, with low-cost, high-speed, on-demand and pay-per-use characteristics. Although rapid progression has been recorded in the area of cloud computing and its services, attaining the implementation of green clouds is still under development due to lack of research and several barriers in its implementation. Green clouds are committed to design as eco-friendly, energy efficient, max resource utilizable, low carbon emissions, long lasting and recyclable. In order to satisfy the ever growing enterprise data storage and processing needs, the cloud service providers are coming up with cutting edge technologies like Green Cloud Computing in cloud architecture design to reduce, the huge power consumption, water consumption, need of physical hardware peripherals, infrastructure and harmful carbon emissions etc. To protect our environment from cloud negative impacts, the service providers must adopt and update their cloud infrastructure towards green computing. Green computing researches widely focus on designing of efficient clouds with green characteristics like Power Management, Virtualization, High Performance Computing, Load balancing, Green data center, Reusability, Recyclability etc. As part of my research on green clouds, this paper presents an analysis report about the green cloud computing and its characteristics in detailed manner. This paper thoroughly discusses about the former green computing achievements, current trending concepts of green computing and future research challenges as well. This comprehensive green cloud analysis report helps the naïve green research fellows to learn about green cloud topics and to understand the green cloud future research challenges.


2010 ◽  
pp. 56-67 ◽  
Author(s):  
S. Rebelo

This paper reviews contribution of real business cycle models to our understanding of economic fluctuations and consequences of economic policy. The author pays special attention to technological shocks, discusses open issues in business cycle studies both in retrospect and future research.


Author(s):  
Xiangtan Lin ◽  
Pengzhen Ren ◽  
Yun Xiao ◽  
Xiaojun Chang ◽  
Alex Hauptmann

Person search has drawn increasing attention due to its real-world applications and research significance. Person search aims to find a probe person in a gallery of scene images with a wide range of applications, such as criminals search, multicamera tracking, missing person search, etc. Early person search works focused on image-based person search, which uses person image as the search query. Text-based person search is another major person search category that uses free-form natural language as the search query. Person search is challenging, and corresponding solutions are diverse and complex. Therefore, systematic surveys on this topic are essential. This paper surveyed the recent works on image-based and text-based person search from the perspective of challenges and solutions. Specifically, we provide a brief analysis of highly influential person search methods considering the three significant challenges: the discriminative person features, the query-person gap, and the detection-identification inconsistency. We summarise and compare evaluation results. Finally, we discuss open issues and some promising future research directions.


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