Graph Interpretation, Summarization and Visualization Techniques: A Review and Open Research Issues

2022 ◽  
Author(s):  
Prerna Mishra ◽  
Santosh Kumar ◽  
Mithilesh Kumar Chaube
Keyword(s):  
Research Issues ◽  
Graph Interpretation ◽  
Open Research ◽  
Visualization Techniques

A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

2017 ◽  
Vol 19 (3) ◽  
pp. 1457-1477 ◽  
Author(s):  
Shikhar Verma ◽  
Yuichi Kawamoto ◽  
Zubair Md. Fadlullah ◽  
Hiroki Nishiyama ◽  
Nei Kato
Keyword(s):  
Real Time ◽  
Research Issues ◽  
Open Research

Data center network architecture in cloud computing: review, taxonomy, and open research issues

2014 ◽  
Vol 15 (9) ◽  
pp. 776-793 ◽  
Author(s):  
Han Qi ◽  
Muhammad Shiraz ◽  
Jie-yao Liu ◽  
Abdullah Gani ◽  
Zulkanain Abdul Rahman ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Network Architecture ◽  
Data Center Network ◽  
Research Issues ◽  
Open Research

Big Data and Global Software Engineering

2019 ◽  
pp. 131-163 ◽  
Author(s):  
Ramgopal Kashyap
Keyword(s):  
Big Data ◽  
Potential Effect ◽  
The Internet ◽  
Research Issues ◽  
Open Research ◽  
Fundamental Goal ◽  
Innovative Work ◽  
Different Dimensions ◽  
Global Software Engineering ◽  
The Internet Of Things

A large vault of terabytes of information created every day from present-day data frameworks and digital innovations, for example, the internet of things and distributed computing. Investigation of this enormous information requires a ton of endeavors at different dimensions to separate learning for central leadership. An examination is an ebb-and-flow territory of innovative work. The fundamental goal of this paper is to investigate the potential effect of enormous information challenges, open research issues, and different instruments related to it. Subsequently, this article gives a stage to study big data at various stages. It opens another skyline for analysts to build up the arrangement in light of the difficulties, and open research issues. The article comprehended that each large information stage has its core interest. Some of this is intended for bunch handling while some are great at constant scientific. Each large information stage likewise has explicit usefulness. Unique procedures were utilized for the investigation.

Cyber Security Protection for Online Gaming Applications

2018 ◽  
pp. 1647-1655
Author(s):  
Wenbing Zhao
Keyword(s):  
Cyber Security ◽  
Service Providers ◽  
Online Gaming ◽  
High Availability ◽  
Research Issues ◽  
Byzantine Faults ◽  
Open Research ◽  
Replica Consistency

In this article, we point out the threats to online gaming applications and present two strategies that can be used to build secure and dependable online gaming applications. These strategies not only seek the solution for gathering entropy to seed the PRNG used in such applications, but also intend to eliminate malicious intrusions to protect the seed and to maintain replica consistency. By applying these techniques, the online gaming applications can ensure its service integrity (both the service providers and the innocent players are protected) and guarantee high availability despite the presence of Byzantine faults. Finally, we outline some open research issues in this field.

Big Data and Global Software Engineering

2022 ◽  
pp. 1249-1274
Author(s):  
Ramgopal Kashyap
Keyword(s):  
Big Data ◽  
Potential Effect ◽  
The Internet ◽  
Research Issues ◽  
Open Research ◽  
Fundamental Goal ◽  
Innovative Work ◽  
Different Dimensions ◽  
Global Software Engineering ◽  
The Internet Of Things

A large vault of terabytes of information created every day from present-day data frameworks and digital innovations, for example, the internet of things and distributed computing. Investigation of this enormous information requires a ton of endeavors at different dimensions to separate learning for central leadership. An examination is an ebb-and-flow territory of innovative work. The fundamental goal of this paper is to investigate the potential effect of enormous information challenges, open research issues, and different instruments related to it. Subsequently, this article gives a stage to study big data at various stages. It opens another skyline for analysts to build up the arrangement in light of the difficulties, and open research issues. The article comprehended that each large information stage has its core interest. Some of this is intended for bunch handling while some are great at constant scientific. Each large information stage likewise has explicit usefulness. Unique procedures were utilized for the investigation.

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