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Challenges of DDoS Attack Mitigation in IoT Devices by Software Defined networking (SDN)

Challenges of DDoS Attack Mitigation in IoT Devices by Softw...

引用

2021 international conference on Science and Contemporary Technologies, ICSCT 2021

作者： Munmun, Farha Akhter Paul, Mahuwa Bangladesh University of Business and Technology Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665421324

Over the last few years, the deployment of Internet of Things (IoT) is attaining much more concern on smart computing devices. With the exponential growth of small devices and at the same time cheap prices of these sensing devices, there raises an important question for the security of the stored information as these devices generate a large amount of private data for observing and controlling purposes. distributed Denial of Service (DDoS) attacks are current examples of major security threats to IoT devices. As yet, no standard protocol can fully ensure the security of IoT devices. But adaptive decision making along with elasticity and incessant monitoring is required. These difficulties can be resolved with the assistance of Software Defined networking (SDN) which can viably deal with the security dangers to the IoT devices in a powerful and versatile way without hampering the lightweightness of the IoT devices. Although SDN performs quite well for managing and controlling IoT devices, security is still an open concern. Nonetheless, there are a few challenges relating to the mitigation of DDoS attacks in IoT systems implemented with SDN architecture. In this paper, a brief overview of some of the popular DDoS attack mitigation techniques and their limitations are described. Also, the challenges of implementing these techniques in SDN-based architecture to IoT devices have been presented. © 2021 IEEE.

关键词： Internet of things

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distributed algorithm for computation offloading in mobile edge computing 2021

Distributed algorithm for computation offloading in mobile e...

引用

9th international conference on Communications and Broadband networking, ICCBN 2021

作者： Huang, Lei Zheng, Yifeng Yang, Jingmin Zhang, Wenjie Yang, Liwei Yeo, Chai Kiat School of Computer Sciences Minnan Normal University Zhangzhou China Department of Electronic Engineering National Taipei University of Technology Taibei Taiwan College of Information and Electrical Engineering China Agricultural University Beijing China School of Computer Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781450389174

User mobility is an intrinsic trait of many MEC applications, which has posed significant challenges for realizing reliable computing. However, existing works studying this problem mainly focus on the movements of users while another high-dynamic behavior due to the randomness of computation tasks is largely ignored. To fill this gap, in this paper, we formulate the computation offloading problem in MEC system as a combinatorial optimization problem, and then we construct a Markov chain with steady-state distribution specifying to our problem in a distributed manner, such that the user mobility problem is transformed into the state transition problem. Moreover, this Markov chain is further extended to consider a dynamic scenario where the number of active users in the MEC system changes over time. Numerical results show that our proposed algorithm can converge very fast to the optimal solution, and has a provable performance with a guaranteed loss bound. © 2021 ACM.

关键词： computation offloading

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Implementation of Knowledge Collaboration and Consistency in distributed Database Under CORBA and Its Application in Virtual Organizations

Implementation of Knowledge Collaboration and Consistency in...

引用

Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS), IEEE international conference on

作者： Qiugen Pei Feng Chen Huan Xu Xinyao Feng Enterprise Architecture and Digital Department of Guangdong Power Grid Co.LTD Guangzhou Guangdong China Digital Department China Southern Power Grid Co. LTD. Guangzhou Guangdong China Information Center Guangdong Power Grid Co. LTD. Guangzhou Guangdong China

ISBN: (数字)9798350329773

ISBN: (纸本)9798350329780

In the era of cloud computing and big data, with the increasingly fierce competition between virtual organizations, achieving knowledge collaboration and consistency has become an important issue facing enterprises. This article discusses how to achieve this goal by studying the dynamic shared networking technology of CORBA (common object request broker architecture). First, the characteristics of the technology are analyzed, corresponding rules are constructed, and the system is verified to have the characteristics of interactivity and stability. A new method is proposed to solve the above problems, and the algorithm is improved. The test results show that the response time of the database to process data return and send data at different number of client points is within 9 seconds, which can save time and improve system efficiency. At the same time, the fault tolerance rate is as low as 79% and as high as 94%.

关键词： Visualization Costs distributed databases Collaboration Organizations Stability analysis Real-time systems

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Proceedings of EduHPC 2019: Workshop on Education for High Performance computing - Held in conjunction with SC 2019: The international conference for High Performance computing, networking, Storage and Analysis

Proceedings of EduHPC 2019: Workshop on Education for High P...

引用

2019 Workshop on Education for High Performance computing, EduHPC 2019

ISBN: (纸本)9781728159751

The proceedings contain 10 papers. The topics discussed include: teaching parallel and distributed computing concepts in simulation with WRENCH;assessing the integration of parallel and distributed computing in early undergraduate computer science curriculum using unplugged activities;successful systems in production graduate teaching;teaching concurrent and distributed programming with concepts over mathematical proofs;toward improving collaborative behaviour during competitive programming assignments;and teaching on demand: an HPC experience.

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Optimizing Stateful Microservice Migration in Kubernetes with MS2M and Forensic Checkpointing

Optimizing Stateful Microservice Migration in Kubernetes wit...

引用

international conference on Intelligence in Next Generation Networks (ICIN)

作者： Hai Dinh-Tuan Jialun Jiang Service-Centric Networking Technische Universität Berlin Berlin Germany Technische Universität Berlin Berlin Germany

ISBN: (数字)9798331542399

ISBN: (纸本)9798331542405

The widespread adoption of microservices architecture in modern software systems has emphasized the need for efficient management of distributed services. While stateless mi-croservices enable straightforward migration, stateful microser-vices introduce added complexity due to the need to preserve in-memory state during migration. However, most container orchestrators, including Kubernetes, lack native support for live stateful service migration. This paper proposes an optimized migration scheme for stateful services in Kubernetes by integrating the Message-based Stateful Microservice Migration (MS2M) framework with Kubernetes' Forensic Container Checkpointing (FCC) feature. Key enhancements include support for migrating StatefulSet-managed Pods and the introduction of a Threshold-Based Cutoff Mechanism to handle high incoming message rates. Evaluation results demonstrate that MS2M for individual Pods reduces downtime by 96.986% compared to cold migration methods, while the StatefulSet approach provides greater flexibility in managing stateful services. These insights provide practical strategies for optimizing stateful microservice migration in cloud-native environments.

关键词： Checkpointing Cloud computing Technological innovation Forensics Microservice architectures FCC Computer architecture Containers Software systems Complexity theory

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Multi-UAV Cooperative Search in Multi-Layered Aerial computing Networks: A Multi-Agent Deep Reinforcement Learning Approach

Multi-UAV Cooperative Search in Multi-Layered Aerial Computi...

引用

IEEE international conference on Communications (ICC)

作者： Jiaqi Wu Jingjing Luo Changkun Jiang Lin Gao Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology School of Electronics and Information Engineering Harbin Institute of Technology Shenzhen China Department of Computer Engineering Shenzhen University Shenzhen China

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Multi-UAV Cooperative Search (MCS) can significantly enhance the efficiency and effectiveness of search by enabling multiple unmanned aerial vehicles (UAVs) to collaborate in conducting search missions. Thus, it has played a vital role in various applications, such as surveillance, target detection, and information gathering. While existing works in this field mainly focused on a single UAV layer, in this work we consider a Multi-layered Aerial computing Network (MACN) scenario, which consists of a Low-Altitude Platform (LAP) layer with multiple high-flexibility and low-capacity UAVs (called LUAVs) and a High-Altitude Platform (HAP) layer with one low-flexibility and high-capacity UAV (called HUAV). In such a scenario, We focus on the joint optimization of flying trajectories, computation offloading, and resource allocation, aiming at minimizing the uncertainty of Search Probability Map (SPM). The problem is challenging due to the co-existence of discrete and continuous decision variables, as well as the fast and randomly changing of wireless environment. To solve the problem in an online and distributed manner, we propose a Multi-Agent Deep Reinforcement Learning (MADRL) approach based on Parameter Sharing and Action Mask (PSAM), called PSAMMA, where the State-Action-Reward-State-Action (SARSA) method is leveraged to determine the discrete flying and offloading decisions. Experiment results show that the proposed PSAMMA algorithm outperforms existing methods in terms of the average SPM uncertainty, the target discovery rate, and the coverage rate.

关键词： Wireless communication Uncertainty Surveillance Object detection Autonomous aerial vehicles Deep reinforcement learning Trajectory

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An Efficient Data Analysis For Edge-Enabled distributed Environments using Tractable Probabilistic Models

An Efficient Data Analysis For Edge-Enabled Distributed Envi...

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IEEE international conference on Big Data

作者： Kihyuk Nam Taewhi Lee Sung-Soo Kim Choon Seo Park Taek Yong Nam Insik Shin AI Research Lab ETRI Daejeon Korea School of Computing KAIST Daejeon Korea

ISBN: (纸本)9781665480468

Huge amounts of data are ceaselessly being generated by a variety of devices, and the processing efforts for their collection and analysis grows exponentially as well. Storing them in one place and getting exact answers is almost impractical. Furthermore, computing aggregation and statistics that most exploratory data analysis would require imposes a heavy burden on networking and computing infrastructures. By adopting the edge/fog computing paradigm that has recently been developing can reduce such overheads by offloading jobs from central clouds to edge devices. We try to go one step further in this direction by approximating aggregate values and statistics for data analysis using tractable probabilistic models and optimizing network performance. This paper evaluates our preliminary result of our on-going project that was gained by fast-prototyping using Sum-Product Networks.

关键词： Performance evaluation Analytical models Data analysis Query processing Computational modeling Aggregates distributed databases

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A Backpressure Mitigation Scheme in distributed Stream Processing Engines 34

A Backpressure Mitigation Scheme in Distributed Stream Proce...

引用

34th international conference on Information networking (ICOIN)

作者： Hanif, Muhammad Yoon, Hyeongdeok Lee, Choonhwa Hanyang Univ Div Comp Sci & Engn Seoul South Korea

ISBN: (纸本)9781728141985

There is a significant rise in the adaptation of streaming applications in the past decade by individuals researchers and organizations in both industry and academia. These applications are all based on the modern data stream processing systems that implement resource allocation and management in order to provide an uninterrupted track of queries over incoming input distributed data streams. More than a few stream processing engines exists to handle these distributed streaming applications. These distributed applications have open challenges like backpressure. In this paper, we introduce a backpressure mitigation mechanism for the distributed stream processing systems. The proposed backpressure mitigation technique is a generic one and is feasible to be implemented on top of a number of popular streaming frameworks. We use Flink as a testbed for this work and use its available APIs.

关键词： Streaming backpressure SLA distributed computing Cloud computing

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international Program Committee

International Program Committee

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ACIS international conference on Software Engineering, Artificial Intelligence, networking, and Parallel/distributed computing (SNPD)

Provides a listing of current committee members and society officers.

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Building Blocks for Network-Accelerated distributed File Systems

Building Blocks for Network-Accelerated Distributed File Sys...

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Supercomputing conference

作者： Salvatore Di Girolamo Daniele De Sensi Konstantin Taranov Milos Malesevic Maciej Besta Timo Schneider Severin Kistler Torsten Hoefler Dept. of Computer Science ETH Zürich Zürich Switzerland

ISBN: (纸本)9781665454452

High-performance clusters and datacenters pose increasingly demanding requirements on storage systems. If these systems do not operate at scale, applications are doomed to become I/O bound and waste compute cycles. To accelerate the data path to remote storage nodes, remote direct memory access (RDMA) has been embraced by storage systems to let data flow from the network to storage targets, reducing overall latency and CPU utilization. Yet, this approach still involves CPUs on the data path to enforce storage policies such as authentication, replication, and erasure coding. We show how storage policies can be offloaded to fully programmable SmartNICs, without involving host CPUs. By using PsPIN, an open-hardware SmartNIC, we show latency improvements for writes (up to 2x), data replication (up to 2x), and erasure coding (up to 2x), when compared to respective CPU- and RDMA-based alternatives.

关键词： Costs File systems High performance computing Authentication Media Encoding Next generation networking

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