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Research on Wide-Area-Cloud-Platform Operations Framework for Edge-Cloud System 9

Research on Wide-Area-Cloud-Platform Operations Framework fo...

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9th international conference on Cloud computing and Big Data Analytics, ICCCBDA 2024

作者： Qin, Yuqin Liu, Jiali Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China

ISBN: (纸本)9798350373554

With the rapid increase of data, the scale of cloud is gradually expanding, forming a wide-area cloud platform consisting of multiple data centers distributed across different locations. For industry professionals, maintaining the normal operation of such a large platform relies on reasonable system architecture and operational methods. This article provides an in-depth analysis of the operational requirements for wide-area cloud platforms, investigates relevant anomaly detection methods, and proposes suitable anomaly detection methods for high-frequency local operational status data in data center operations systems and global operational status data in central operations systems respectively. In addition, based on edge-cloud architecture, an operational framework tailored to wide-area cloud platforms is proposed to provide reference means for improving the efficiency of operations personnel. The feasibility of the framework has been verified through actual project testing. © 2024 IEEE.

关键词： Cloud computing architecture

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A distributed Storage System for System Logs Based on Hybrid Compression Scheme 21

A Distributed Storage System for System Logs Based on Hybrid...

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21st IEEE international Symposium on Parallel and distributed Processing with Applications, 13th IEEE international conference on Big Data and Cloud computing, 16th IEEE international conference on Social computing and networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Chang, Baoming Zhou, Fengxi Wang, Zhaoyang Wen, Yu Zhang, Boyang Institute of Information Engineering Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences School of Cyber Security Beijing China

ISBN: (纸本)9798350329223

Modern enterprises are facing a massive threat from Advanced Persistent Threats (APTs), which have risen to be one of the most dangerous challenges in recent years. Since system logs capture the complex causality dependencies between system entities, they have become the primary data source for countering APTs. However, as modern computer systems get more complicated, system logs can pile up in large quantities. Besides, APTs are sophisticated and persistent cyber attacks that can remain hidden in the target for a long time and constantly steal private data. System logs need to be collected and stored for a long duration to enable a complete analysis of APTs. Such a vast amount of log data is challenging for enterprises to store and manage. There are two mainstream solutions for reducing storage overhead. Data compression methods provide an intuitive idea. However, they are designed for general text and lack optimization for system logs. Another solution considers log reduction, which removes redundant system events recorded in system logs by predefined rules. Unfortunately, they are tailored for specific kinds of redundant information, resulting in limited applicability. Realizing that these two solutions adopt two distinct perspectives to reduce storage overhead, they are complementary. Data compression methods shrink the size of log data from their binary form. Log reduction starts from the semantic information of system logs and removes redundant information to reduce storage overhead. Combining both methods maximizes storage efficiency. In this paper, we propose a distributed storage system based on a hybrid compression scheme. To address the above deficiencies, we first identify and merge redundant system events by analyzing and tracing the information flow rather than based on rules. Then, we apply log parsing to preprocess log entries for further storage efficiency. Besides, we design a distributed architecture to optimize compression and eliminate repeated

关键词： Digital storage

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Multi-Target distributed Maximum Correntropy Kalman Filter 24

Multi-Target Distributed Maximum Correntropy Kalman Filter

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12th international conference on Communications and Broadband networking, ICCBN 2024

作者： Deng, Xingyu Han, Hongyu Zhang, Sheng Xu, Yin College of Computer Science and Visual Computing Virtual Reality Key Laboratory of Sichuan Province Sichuan Normal University Chengdu610066 China The School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China

ISBN: (纸本)9798400717109

Multi-target tracking in sensor networks is a challenging problem, especially in scenarios where sensor observations are limited. Conventional centralized Kalman filters and distributed Kalman filters (DKFs) require each sensor to observe all targets, which is often difficult to achieve in practical distributed applications. With this in mind, and inspired by the promising robustness of the maximum correntropy criterion in non-Gaussian noise environments, this paper proposes a novel multi-target distributed maximum correntropy Kalman filter, named MT-DMCKF. The proposed algorithm can operate effectively in distributed multi-target scenarios and provide accurate and consistent tracking performance even when the number of sensors mounted on targets is limited. Within a single period, the algorithm requires only one exchange of information among sensors, thus reducing communication overhead compared to existing distributed Kalman filters. Simulation experiments validate the effectiveness and robustness of the proposed MT-DMCKF. © 2024 ACM.

关键词： Wiener filtering

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distributed Caching Control Strategy in Mobile Edge computing: A Mean Field Game Approach 19

Distributed Caching Control Strategy in Mobile Edge Computin...

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19th Annual IEEE international conference on Sensing, Communication, and networking (IEEE SECON)

作者： Feng, Hao Guo, Songtao Chen, Chao Jiao, Xianlong Southwest Univ Sch Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China

ISBN: (数字)9781665486439

ISBN: (纸本)9781665486439

Mobile edge computing (MEC) is a novel computing paradigm that sinks the computing capacity of cloud servers into edge nodes to reduce network latency. By caching the popular content at small base station (SBS) can reduce the heavy backhaul load and the content retransmission in MEC. However, the dynamic and time-varying of the content requests may increase the network cost. In this paper, we study a distributed edge caching optimization problem in MEC scenario with the spatiotemporal requirements. The considered cache control is described as a stochastic differential game (SDG) in which each SBS defines a caching strategy to reduce the cost in terms of the service delay and backhaul link load. To reduce the computational complexity, the original problem can be transformed into a mean field game (MFG). We propose a caching iterative control algorithm that decouples the information interactions between the general SBS and others with the mean field distribution. In addition, we obtain the optimal caching strategy which achieves the existence and uniqueness of the mean field equilibrium (MFE). Simulation results demonstrate that our proposed algorithm can reduce more storage space and total cost compared to the Kim's approach.

关键词： Mobile edge computing distributed edge caching mean-field game approach spatio-temporal requirements optimal control

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Smart Edge-based Fake News Detection using Pre-trained BERT Model 18

Smart Edge-based Fake News Detection using Pre-trained BERT ...

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18th international conference on Wireless and Mobile computing, networking and Communications (WiMob)

作者： Guo, Yuhang Lamaazi, Hanane Mizouni, Rabeb Khalifa Univ EECS Dept Elect Engn & Comp Sci Abu Dhabi U Arab Emirates Khalifa Univ Ctr Cyber Phys Syst EECS Dept Abu Dhabi U Arab Emirates

ISBN: (数字)9781665469753

ISBN: (纸本)9781665469753

Today, online media applications are an important source of information. People are creating and sharing more information than ever before around the world. Being provided by unreliable sources, some news can be misleading. In fact, the assessment of the correctness of the news can be region related. In other words, news can be true in a specific region while fake in another. Existing proposed solutions for fake news detection developed in centralized platforms are not considering the location from where the news gets announced, but they are focused more on the news content. In this paper, a regionbased distributed fake news detection framework is proposed. The framework is deployed in a mobile crowdsensing (MCS) environment where a set of workers responsible for collecting news are selected based on their availability in a specific region. The selected workers share the news to the nearest edge node, where the pre-processing and detection of fake news are executed locally. The detection process uses a pre-trained BERT model where it achieved an accuracy of 91%.

关键词： Fake News BERT Text Classification Deep Learning Fine-Tuning Edge computing distributed Architecture

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The Security Investigation of Ban Score and Misbehavior Tracking in Bitcoin Network 42

The Security Investigation of Ban Score and Misbehavior Trac...

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42nd IEEE international conference on distributed computing Systems (ICDCS)

作者： Fan, Wenjun Wuthier, Simeon Hong, Hsiang-Jen Zhou, Xiaobo Bai, Yan Chang, Sang-Yoon Xian Jiaotong Liverpool Univ Dept Commun & Networking Sch Adv Technol Suzhou 215123 Jiangsu Peoples R China Univ Colorado Comp Sci Dept Coll Engn & Appl Sci Colorado Springs CO 80918 USA Univ Washington Tacoma Sch Engn & Technol Tacoma WA 98402 USA Univ Colorado Colorado Springs CO 80907 USA

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

Bitcoin P2P networking is especially vulnerable to networking threats because it is permissionless and does not have the security protections based on the trust in identities, which enables the attackers to manipulate the identities for Sybil and spoofing attacks. The Bitcoin node keeps track of its peer's networking misbehaviors through ban scores. In this paper, we investigate the security problems of the ban-score mechanism and discover that the ban score is not only ineffective against the Bitcoin Message-based DoS (BM-DoS) attacks but also vulnerable to the Defamation attack as the network adversary can exploit the ban score to defame innocent peers. To defend against these threats, we design an anomaly detection approach that is effective, lightweight, and tailored to the networking threats exploiting Bitcoin's ban-score mechanism. We prototype our threat discoveries against a real-world Bitcoin node connected to the Bitcoin Mainnet and conduct experiments based on the prototype implementation. The experimental results show that the attacks have devastating impacts on the targeted victim while being cost-effective on the attacker side. For example, an attacker can ban a peer in two milliseconds and reduce the victim's mining rate by hundreds of thousands of hash computations per second. Furthermore, to counter the threats, we empirically validate our detection countermeasure's effectiveness and performances against the BM-DoS and Defamation attacks.

关键词： Bitcoin Ban Score Misbehavior P2P networking Denial of Service Sybil Spoofing

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Information-Centric networking (ICN) Based Disaster Recovery and Business Continuity (DRBC) of Bangladesh

Information-Centric Networking (ICN) Based Disaster Recovery...

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2023 IEEE international conference on Dependable, Autonomic and Secure computing, 2023 international conference on Pervasive Intelligence and computing, 2023 international conference on Cloud and Big Data computing, 2023 international conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Mazumder, Kawser A. Abdallah, Eslam G. Department AB Canada

ISBN: (纸本)9798350304602

We are proposing an Information-Centric networking (ICN) technology-based solution for a Disaster Recovery Management System (DRMS) for a country such as Bangladesh where disasters happen almost annually. Bangladesh has very well-developed disaster management systems, plans, and processes. Due to well-technologically based systems of disaster management in remote locations or during devastating disasters, disaster activities are delayed or failed. Geographically, Bangladesh is disaster-prone;every year, the country faces a lot of economic damage. This is important to have the DRMS ready and available to mitigate, prepare, and communicate with different groups to reduce the loss and save lives. This ICN technology-based disaster management can play an important role in Information, relief, shelters, and emergency management. Communication technology can play a vital role in technology-based disaster management. Also, during a disaster, communication systems and other related infrastructures are damaged due to power failure, and other damage facts. An ICN based Disaster Recovery and Business Continuity (DRBC) system has a higher response ratio, efficient performance, low communication overhead and path distance, and less distributed delay. Also, it has been proven that ICN is a new paradigm with mobility, security, and network traffic that can be applied to highly available secure communication. We propose an ICN based Disaster Recovery System for Bangladesh that will efficiently manage the natural and manmade disasters in the country. This proposed system can be customized and applied to other countries based on their needs. © 2023 IEEE.

关键词： Recovery

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Establishing a High-Performance and Productive Ecosystem for distributed Execution of Python Functions Using Globus Compute

Establishing a High-Performance and Productive Ecosystem for...

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2024 Workshops of the international conference for High Performance computing, networking, Storage and Analysis, SC Workshops 2024

作者： Ananthakrishnan, Rachana Babuji, Yadu Bryan, Josh Chard, Kyle Chard, Ryan Clifford, Ben Foster, Ian Gorenstein, Lev Kesling, Kevin Hunter Janidlo, Chris Katz, Daniel S. Mello, Reid Pauloski, J. Gregory Wang, Lei University of Chicago United States Argonne National Laboratory United States University of Illinois Urbana-Champaign United States

ISBN: (纸本)9798350355543

The research computing ecosystem is increasingly heterogeneous and diverse. Democratizing access to these essential resources is critical for accelerating research progress. However, the gap between a high-level workload, such as Python in a Jupyter notebook, and the resources and interfaces exposed by HPC systems is significant. Users must securely authenticate, manage network connections, deploy and manage software, provision and configure nodes, and manage workload execution. Globus Compute reduces these barriers by providing a managed, fire-and-forget model that enables execution of Python functions across any resource to which a user has access. However, while Globus Compute has relieved users from many of the challenges of remote computing, we have observed some inefficiencies that remain in terms of use. For example, many users wrap external applications, such as C/C++, Fortran, and even MPI applications, in Python functions and users must deploy many endpoints on a single computer to exploit different configurations. In this paper we describe enhancements to Globus Compute to address these barriers: an asynchronous, future-based executor interface for submitting and monitoring tasks, shell and MPIbased function types, and a multi-user endpoint that can be deployed by administrators and used by authorized users. © 2024 IEEE.

关键词： n/a

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Microgrid Recent Innovations & Uses 15

Microgrid Recent Innovations & Uses

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15th international conference on computing Communication and networking Technologies, ICCCNT 2024

作者： Kaushik, Neeraj Goswami, Shubhashis Sachan, Keerti Vijayalakshmi, V.J. Gajendran, P. Mishra, V.A. Tmu Department of Ece India Dev Bhoomi Uttarakhand University School of Engineering and Computer Uttarakhand India Iimt University School of computer science and application Meerut India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore India Karpagam College of Engineering Department of Electrical and Electronics Engineering Coimbatore India Vishwakarma Institute of Information Technology Computer Engg Pune India

ISBN: (纸本)9798350370249

Concerns about global warming brought on by increasing carbon dioxide levels in the environment have sped up technological development in the sustainable energy sector over the past few years. The advancement in science while the shift to less polluting materials sources possesses increased the appeal for DG, subsequent generations distributed generation, using renewable supplies. Nevertheless, it has become widely recognized that increasing DG entry can negatively affect the matrix's layout and operations. A suggestion made to reduce the effect about DG while improve the suitability of traditional grids over massive DG installation involves the Located concept. encompassing a variety of electrical devices', the elements and Micro-grids and related power gadgets fields are now very well-liked research areas. This essay examines the history and theory behind microgrids, as well as the present situation regarding the writing, active research initiatives, and pertinent requirements. It additionally provides a more thorough analysis of the numerous Located pilot initiatives which have been implemented surrounding the globe and addresses possible directions for future study. © 2024 IEEE.

关键词： distributed generation IEEE Standard 1547 Microgrid control Microgrid management system Protection Renewable energy

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Context-aware Community Detection in the Russia-Ukraine Conflict Network 24

Context-aware Community Detection in the Russia-Ukraine Conf...

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25th international conference on distributed computing and networking, ICDCN 2024

作者： Chakraborty, Amartya Pal, Deepamoy Mukherjee, Nandini St. Thomas' College of Engineering and Technology West Bengal Kolkata India Jadavpur University West Bengal Kolkata India

ISBN: (纸本)9798400716737

Community detection in online social networks is a challenging field of research. The involvement of context information in online user interactions enhances the challenge of effective community detection. The proposed work addresses this challenge by developing a semi-supervised learning-based node labeling approach that augments the pre-existing Louvain algorithm to make it context-aware. This approach is tested in comparison to the un-modified Louvain algorithm on a dataset acquired from Twitter that includes user interactions related to the 'Russia-Ukraine war'. This data is modeled into a network based on user interactions in the form of replies and retweets. A primary network-level analysis is performed using the different centrality metrics to identify influential users of the network. It is also noted that modularity, which is the main factor in the Louvain algorithm, is increased by more than twice on incorporating the context information as edge weight in our approach. Thus, it is validated that our proposed approach is effective in proper community detection by considering context-rich real-life network data. © 2024 ACM.

关键词： Social networking (online)

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