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Dani Gunawan, Amalia Amalia, Atras Najwan
Pág. 1 - 12
Collecting or harvesting data from the Internet is often done by using web crawler. General web crawler is developed to be more focus on certain topic. The type of this web crawler called focused crawler. To improve the datacollection performance, creati...
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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...
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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...
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Lei Xie, Shengbo Chen, Wenfeng Shen and Huaikou Miao
With the rapid development of cloud computing, the demand for infrastructure resources in cloud data centers has further increased, which has already led to enormous amounts of energy costs. Virtual machine (VM) consolidation as one of the important tech...
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Lei Xie, Shengbo Chen, Wenfeng Shen and Huaikou Miao
With the rapid development of cloud computing, the demand for infrastructure resources in cloud data centers has further increased, which has already led to enormous amounts of energy costs. Virtual machine (VM) consolidation as one of the important tech...
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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...
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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...
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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...
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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...
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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...
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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...
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Xin Li, Chengcheng Guo, Jun Xu, Lav Gupta and Raj Jain
Efficient provisioning of 5G network slices is a major challenge for 5G network slicing technology. Previous slice provisioning methods have only considered network resource attributes and ignored network topology attributes. These methods may result in ...
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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...
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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...
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