Software-Defined Networks (SDN)

2019 ◽  
pp. 516-536 ◽  
Author(s):  
Rabia Bilal ◽  
Bilal Muhammad Khan
Keyword(s):  
Programming Languages ◽  
Research Work ◽  
Future Research ◽  
Software Defined Networks ◽  
New Paradigm ◽  
Research Areas ◽  
Depth Analysis ◽  
Future Research Directions ◽  
And Control ◽  
And Storage

Software-defined networks (SDN) are a new paradigm shift in the world of network centralized command and control, providing network omniscience and separates control and data planes. Most of the research work till date focuses on increasing efficiency and manageability of computational and storage resources which results in emergence of current virtualization technologies. The feasibility and applications of SDN in current datacenters and network infrastructures is being studied by academia, industry, and the standardization bodies. This chapter explains SDN concepts and its difference from legacy networking, interrelated terminologies, protocols, programming languages, benefits, and shortcomings. Moreover, exploration of current research areas and techniques along with in-depth analysis and future research directions will be presented.

Securing the Cloud for Big Data

2020 ◽  
pp. 1-23
Author(s):  
Michael Robinson ◽  
Kevin Jones
Keyword(s):  
Big Data ◽  
Future Research ◽  
Cloud Environment ◽  
Public Cloud ◽  
Research Areas ◽  
Significant Step ◽  
Future Research Directions ◽  
And Control ◽  
Insight Into

This chapter explores how organizations can seek to secure a public cloud environment for use in big data operations. It begins by describing the challenges that cloud customers face when moving to the cloud, and proposes that these challenges can be summarized as a loss of control and visibility into the systems and controls around data. The chapter identifies thirteen areas where visibility and control can be lost, before progressing to highlight ten solutions to help regain these losses. It is proposed that planning is the most significant step a customer can take in ensuring a secure cloud for big data. Good planning will enable customers to know their data and pursue a risk-based approach to cloud security. The chapter provides insight into future research directions, highlighting research areas which hold the potential to further empower cloud customers in the medium to long term.

A Review of Minimum Quantity Lubrication (MQL) based on Bibliometry

2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena
Keyword(s):  
Descriptive Analysis ◽  
Minimum Quantity Lubrication ◽  
Citation Network ◽  
Machining Process ◽  
Cutting Fluid ◽  
Future Research ◽  
Research Directions ◽  
Minimum Quantity ◽  
Research Areas ◽  
Future Research Directions

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL. Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining process. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases. Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network. Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 hindex) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field. Conclusion: The analysis finds that MQL is progressing in publications and the emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.

A Comprehensive Survey of Neural Architecture Search

2021 ◽  
Vol 54 (4) ◽  
pp. 1-34
Author(s):  
Pengzhen Ren ◽  
Yun Xiao ◽  
Xiaojun Chang ◽  
Po-yao Huang ◽  
Zhihui Li ◽  
...  
Keyword(s):  
Research Work ◽  
Search Space ◽  
Feature Representation ◽  
Future Research ◽  
Related Research ◽  
Neural Architecture ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
Intuitive Idea ◽  
New Perspective

Deep learning has made substantial breakthroughs in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is crucial to the feature representation of data and the final performance. However, the design of the neural architecture heavily relies on the researchers’ prior knowledge and experience. And due to the limitations of humans’ inherent knowledge, it is difficult for people to jump out of their original thinking paradigm and design an optimal model. Therefore, an intuitive idea would be to reduce human intervention as much as possible and let the algorithm automatically design the neural architecture. Neural Architecture Search ( NAS ) is just such a revolutionary algorithm, and the related research work is complicated and rich. Therefore, a comprehensive and systematic survey on the NAS is essential. Previously related surveys have begun to classify existing work mainly based on the key components of NAS: search space, search strategy, and evaluation strategy. While this classification method is more intuitive, it is difficult for readers to grasp the challenges and the landmark work involved. Therefore, in this survey, we provide a new perspective: beginning with an overview of the characteristics of the earliest NAS algorithms, summarizing the problems in these early NAS algorithms, and then providing solutions for subsequent related research work. In addition, we conduct a detailed and comprehensive analysis, comparison, and summary of these works. Finally, we provide some possible future research directions.

Life cycle assessment of carbon capture and storage/utilization: From current state to future research directions and opportunities

2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Future Research Directions ◽  
And Storage

The 100 most-cited articles in castration-resistant prostate cancer: a bibliometric analysis

2021 ◽  
Keyword(s):  
Cancer Research ◽  
Bibliometric Analysis ◽  
Future Research ◽  
Castration Resistant Prostate Cancer ◽  
Research Areas ◽  
Castration Resistant ◽  
The Usa ◽  
Future Research Directions ◽  
Different Characteristics ◽  
Number Of Citations

Purpose: To assess the present landscape and future research directions, a bibliometric analysis was performed to identify the characteristics of the 100 most-cited articles (T100 articles) on CRPC research. Methods: A list of the T100 articles investigating CRPC was generated by searching the Web of Science (WoS) Core Collection database. Different characteristics of the T100 articles, including the countries/territories, journals, authors, and research areas, were analyzed. Results: The number of citations of T100 articles published between 1992 and 2017 ranged from 282 to 3594, with an average of 654.9 citations. According to the topic of the article, ''Mechanisms related to tumor progression or metastasis'' ranked first with 41 T100 articles, while immunotherapy ranked fourth with 7 T100 articles. The T100 articles originated from 31 countries, with more than half originating from the USA (n = 89). Professor Scher HI published the most T100 articles as the first author (4) and as the corresponding author (5), while Pro De Bono JS from the Institute of Cancer Research published 3 articles as the first author and 8 articles as the corresponding author. The journal Cancer Research published 20 T100 articles with a total of 8946 citations. The number of T100 articles(r = 0.485, P = 0.01) and the total number of citations(r = 0.626, P < 0.001) were all positively correlated with the IF of the journal. Conclusions: This analysis offers a historical perspective on the progress and attempts to reveal future trends in CRPC research using bibliometric analysis. This study's results suggest that immunotherapy and the study of androgen receptors as well as their signaling axes will possibly be hot topics and trends in CRPC research.

scholarly journals Carpooling in Connected and Autonomous Vehicles: Current Solutions and Future Directions

2022 ◽  
Author(s):  
Farkhanda Zafar ◽  
Hasan Ali Khattak ◽  
Moayad Aloqaily ◽  
Rasheed Hussain
Keyword(s):  
Business Model ◽  
Autonomous Vehicles ◽  
Research Work ◽  
Relevant Information ◽  
Security And Privacy ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Survey ◽  
One Stop ◽  
Future Research Directions

Owing to the advancements in communication and computation technologies, the dream of commercialized connected and autonomous cars is becoming a reality. However, among other challenges such as environmental pollution, cost, maintenance, security, and privacy, the ownership of vehicles (especially for Autonomous Vehicles (AV)) is the major obstacle in the realization of this technology at the commercial level. Furthermore, the business model of pay-as-you-go type services further attracts the consumer because there is no need for upfront investment. In this vein, the idea of car-sharing ( aka carpooling) is getting ground due to, at least in part, its simplicity, cost-effectiveness, and affordable choice of transportation. Carpooling systems are still in their infancy and face challenges such as scheduling, matching passengers interests, business model, security, privacy, and communication. To date, a plethora of research work has already been done covering different aspects of carpooling services (ranging from applications to communication and technologies); however, there is still a lack of a holistic, comprehensive survey that can be a one-stop-shop for the researchers in this area to, i) find all the relevant information, and ii) identify the future research directions. To fill these research challenges, this paper provides a comprehensive survey on carpooling in autonomous and connected vehicles and covers architecture, components, and solutions, including scheduling, matching, mobility, pricing models of carpooling. We also discuss the current challenges in carpooling and identify future research directions. This survey is aimed to spur further discussion among the research community for the effective realization of carpooling.

scholarly journals CubeSat Communications: Recent Advances and Future Challenges

2020 ◽  
Author(s):  
Nasir Saeed ◽  
Ahmed Elzanaty ◽  
Heba Almorad ◽  
Hayssam Dahrouj ◽  
Tareq Y. Al-Naffouri ◽  
...  
Keyword(s):  
Channel Modeling ◽  
Future Research ◽  
New Paradigm ◽  
Earth Remote Sensing ◽  
Research Directions ◽  
Space Industry ◽  
Recent Advances ◽  
Wide Range ◽  
Future Challenges ◽  
Future Research Directions

<pre><pre>Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as CubeSats, which are enticing because of their numerous applications and low design-and-deployment cost. </pre><pre>The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity.</pre><pre>CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system.</pre><pre>This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives.</pre><pre>We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking.</pre><pre>Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.</pre></pre>

Specification, Development, and Verification of CASCADAS Autonomic Computing and Networking Toolkit

2011 ◽  
pp. 65-96 ◽  
Author(s):  
Antonio Manzalini ◽  
Nermin Brgulja ◽  
Roberto Minerva ◽  
Corrado Moiso
Keyword(s):  
Autonomic Computing ◽  
Management Control ◽  
Experimental Results ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
New Challenges ◽  
Eu Project ◽  
And Storage ◽  
Autonomic Communications

Increasing complexity, heterogeneity, and dynamism of current networks (telecommunications, ICT, and Internet) are making current computational and communication infrastructures brittle, inefficient, and almost unmanageable. As a matter of fact, computing and storage are progressively embedded in all sorts of nodes and devices that are interconnected through a variety of (wireless and wired) technologies in Networks of Networks (NoNs). Dynamicity, pervasivity, and interconnectivity of future NoNs will increase the complexity of their management, control, and optimization more and more, and will open new challenges for service delivery in such environments. Autonomic communications principles and technologies can provide effective computing and networking solutions overcome these bottlenecks and to foster such challenging evolution. This chapter presents the main concepts of an autonomic communications toolkit designed and developed in the EU project CASCADAS for creating and supervising service networking ecosystems, structured as ensembles of distributed and cooperating autonomic components. Moreover, it describes several use-cases developed for its validation and demonstration and reports the experimental results to assess the toolkit performances. A brief overview of future research directions concludes the chapter.

A Survey of Recent Approaches Integrating Blogs in School Education

2021 ◽  
pp. 229-245
Author(s):  
Stavros Tsetsos ◽  
Jim Prentzas
Keyword(s):  
Secondary Education ◽  
Web 2.0 ◽  
Research Work ◽  
School Education ◽  
Future Research ◽  
Research Directions ◽  
Web 2.0 Tools ◽  
Primary And Secondary Education ◽  
Future Research Directions ◽  
Enhanced Learning

Web 2.0 tools are frequently integrated in education. The main goal of this integration is to provide enhanced learning experiences to students. Among other Web 2.0 tools, blogs are often used. Many approaches have been presented that successfully exploited blogs in all levels of education. An aspect of interest is to outline main directions of the corresponding research work that will provide insight to researchers, teachers, students, developers, and policymakers. This chapter provides a brief survey of approaches integrating blogs in primary and secondary education. Initially, main concepts regarding blogs as Web 2.0 tools and educational blogs are briefly discussed. Then, 16 approaches concerning the use of blogs in primary and secondary education are surveyed. The results derived from these approaches are analyzed. The analysis shows that the results are positive, and blogs turn out to be useful tools for school education. It is likely that more such approaches will be presented in the future. The chapter also outlines future research directions.

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