|
|
|
Eleni Vlachou, Aristeidis Karras, Christos Karras, Leonidas Theodorakopoulos, Constantinos Halkiopoulos and Spyros Sioutas
In this work, we present a Distributed Bayesian Inference Classifier for Large-Scale Systems, where we assess its performance and scalability on distributed environments such as PySpark. The presented classifier consistently showcases efficient inference...
ver más
|
|
|
|
|
|
|
Fahad Alqahtani, Mohammed Almutairi and Frederick T. Sheldon
This study provides a comprehensive review and comparative analysis of existing Information Flow Tracking (IFT) tools which underscores the imperative for mitigating data leakage in complex cloud systems. Traditional methods impose significant overhead o...
ver más
|
|
|
|
|
|
|
Jackson Costa, Rubens Matos, Jean Araujo, Jueying Li, Eunmi Choi, Tuan Anh Nguyen, Jae-Woo Lee and Dugki Min
It is necessary to develop a vehicle digital twin (DT) for urban air mobility (UAM) that uses an accurate, physics-based emulator to model the statics and dynamics of a vehicle. This is because the use of digital twins in the operation and control of UAM...
ver más
|
|
|
|
|
|
|
Kyungwoon Lee, Jeongsu Kim, Ik-Hyeon Kwon, Hyunchan Park and Cheol-Ho Hong
Containers enable high performance and easy deployment due to their lightweight architecture, thus facilitating resource utilization in edge computing nodes. Secure container runtimes have attracted significant attention because of the necessity for over...
ver más
|
|
|
|
|
|
|
Mahmoud Al-Dwairi, Ahmed S. Shatnawi, Osama Al-Khaleel and Basheer Al-Duwairi
In recent years, various platforms have witnessed an unprecedented increase in the number of ransomware attacks targeting hospitals, governments, enterprises, and end-users. The purpose of this is to maliciously encrypt documents and files on infected ma...
ver más
|
|
|
|
|
|
|
Gabriel Ovando-Leon, Luis Veas-Castillo, Veronica Gil-Costa and Mauricio Marin
Upon a serious emergency situation such as a natural disaster, people quickly try to call their friends and family with the software they use every day. On the other hand, people also tend to participate as a volunteer for rescue purposes. It is unlikely...
ver más
|
|
|
|
|
|
|
Armin Lawi, Benny L. E. Panggabean and Takaichi Yoshida
Currently, most middleware application developers have two choices when designing or implementing Application Programming Interface (API) services; i.e., they can either stick with Representational State Transfer (REST) or explore the emerging GraphQL te...
ver más
|
|
|
|
|
|
|
Jin-young Choi, Minkyoung Cho and Jik-Soo Kim
Recently, ?Big Data? platform technologies have become crucial for distributed processing of diverse unstructured or semi-structured data as the amount of data generated increases rapidly. In order to effectively manage these Big Data, Cloud Computing ha...
ver más
|
|
|
|
|
|
|
Chao Zhou and Tao Zhang
In real applications, massive data with graph structures are often incomplete due to various restrictions. Therefore, graph data imputation algorithms have been widely used in the fields of social networks, sensor networks, and MRI to solve the graph dat...
ver más
|
|
|
|
|
|
|
Kiruki Cosmas and Asami Kenichi
In the recent past, research on the utilization of deep learning algorithms for space applications has been widespread. One of the areas where such algorithms are gaining attention is in spacecraft pose estimation, which is a fundamental requirement in m...
ver más
|
|
|
|