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Demo: Disaggregated Dataplanes 41

Demo: Disaggregated Dataplanes

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41st IEEE international conference on distributed computing Systems (ICDCS)

作者： Nagda, Heena Nagda, Rakesh Sultan, Nik Loo, Boon Thau Georgia Inst Technol Atlanta GA 30332 USA Univ Penn Philadelphia PA 19104 USA

ISBN: (纸本)9781665445139

Modern programmable network hardware enables in-network computing-pushing increasingly-complex logic into the network to improve the performance, flexibility and reliability of network services. But the current network programming paradigm is constrained to programming a single network device at a time. The lack of support for in-network programs that use several and heterogeneous network hardware simultaneously constrains the scale and behaviour of in-network programs. Dataplane Disaggregation is a new paradigm that addresses this problem. It distributes computations across programmable network hardware including switches and smart NICs. This paradigm transforms a monolithic in-network program into a distributed system executing on possibly heterogeneous resources. The goal of this demo is to make an accessible presentation of Dataplane Disaggregation to the wider distributed systems community. This is intended to stimulate discussion on effective ways to program distributed and heterogeneous systems. Our demo is based on the Flightplan system prototype. Flightplan is open-source and comes with detailed documentation and support scripts, yet it requires some effort to set up and run. This impedes its study by others. Our demo runs completely in the browser and does not burden viewers with any installation effort at all. The technical contribution of this demo consists of a customised visualisation of Flightplan experiments. Moreover, the demo is well-suited to virtual events-as is being planned for ICDCS'21-since it can be run independently and asynchronously by viewers of the demo. This is especially helpful for viewers with slow or intermittent Internet connections. We make the demo's source code freely available online for use by others, including researchers who want to build similar demos.

关键词： software-defined networking dataplane disaggregation distributed systems network virtualisation datacenter networking

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Performance Characterization and Provenance of distributed Task-based Workflows on HPC Platforms

Performance Characterization and Provenance of Distributed T...

引用

High Performance computing, networking, Storage and Analysis, SC-W: Workshops of the international conference for

作者： Amal Gueroudji Chase Phelps Tanzima Z. Islam Philip Carns Shane Snyder Matthieu Dorier Robert B. Ross Line C. Pouchard Argonne National Laboratory Texas State University Sandia National Laboratories

ISBN: (数字)9798350355543

ISBN: (纸本)9798350355550

Understanding performance and provenance of task-based workflows poses significant challenges, particularly in distributed configurations where resources are shared by multiple applications. Task-based workflow management systems further complicate performance predictability because of their dynamicity that subtly alters task execution order from run to run. In this paper we propose a layered characterization framework for performance and task provenance for *** workflows running on high-performance computing (HPC) platforms. It collects data from jobs, the workflow management system, and the operating system to aid in understanding the performance of these workflows. Our approach encompasses three main contributions: first, an extension of *** to capture high-fidelity task provenance using Mochi data services; second, the adaptation of the established HPC I/O characterization tool Darshan to gather high-fidelity I/O data, thereby enhancing the granularity of our analysis; and third, a framework to combine and process the collected data and provide helpful insights into performance characterization and reproducibility, alongside our lessons learned.

关键词： High performance computing Operating systems conferences Reproducibility of results Workflow management software

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ReQ-tank: Fine-grained distributed Machine Learning Flow Scheduling Approach 29

ReQ-tank: Fine-grained Distributed Machine Learning Flow Sch...

引用

29th IEEE international conference on Parallel and distributed Systems, ICPADS 2023

作者： Xu, Quanyi Yan, Kedong Yin, Dan Huang, Chanying Xiao, Shan Yang, Yuxin School of Cyber Science and Engineering Nanjing University of Science and Technology Jiangyin China School of Computer Science and Engineering Nanjing Univ. of Science and Technology Nanjing China School of Computer Science and Engineering Beijing Univ. of Civil Engineering and Architecture Beijing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Fiberhome Communication Tech. Co. Wuhan China

ISBN: (纸本)9798350330717

The swift advancement of distributed computing has enhanced the support for big data and massive-scale models. Yet, delivering superior services to manage large and intricate network flows in data center networks remains a formidable challenge. In this paper, we present ReQ-tank, an intricate flow scheduling approach based on a multi-level feedback queue (MLFQ) devised to achieve flow prioritization and efficient flow scheduling. ReQ-tank employs a two-tier scheduling strategy: On the flow scheduling layer, priority queues are segmented into two categories, and the flows within high-priority queues follow a strict priority scheduling, while those in low-priority queues adhere to differential weighted Round-robin scheduling;On the packet scheduling layer, ReQ-tank modifies the priority of initially high-priority re-transmitted packets to facilitate fine-grained data packet scheduling. We carry out simulation experiments on web search workloads and data mining workloads. Experimental results demonstrate that ReQ-tank can curtail packet wait time in the network, significantly truncate the flow completion time (FCT) of delay-sensitive flows and counteract the issue of flow starvation in traditional strict priority queues. Consequently, ReQ-tank is deemed more suitable for complex distributed network applications. © 2023 IEEE.

关键词： Data Center networking Flow scheduling packet scheduling SDN

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Underwater Wireless Sensor Networks Using distributed Fusion of Optimally Quantized Estimations from Local Trackers 3

Underwater Wireless Sensor Networks Using Distributed Fusion...

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3rd international conference on Pervasive computing and Social networking, ICPCSN 2023

作者： Pal, Yogesh Mohan, Ravi Rao, Ganga Rama Koteswara Suresh Kumar, A. Rastogi, Ravi Shah, Mohd Asif Bennett University Scset Uttar Pradesh Greater Noida India Shri Ram Institute of Technology Electronics & Communication Engineering Madhya Pradesh Jabalpur India Koneru Lakshmaiah Education Foundation Department of Csit Andhra Pradesh Guntur India Department of CSE Rathinam Technical Campus Tamilnadu Coimbatore India Nielit Uttar Pradesh Gorakhpur India University School of Business Chandigarh University Punjab Mohali India

ISBN: (纸本)9798350322842

Underwater wireless sensor networks (UWSNs) have come to rely heavily on localization technology due to their usefulness in a wide variety of contexts. Multi-sensor underwater surveillance has been an important area of study for both military and civilian uses. UWSNs employ measurement quantization to send data from individual sensors to the fusion Centre in order to accomplish centralized tracking/fusion despite bandwidth constraints. Yet, due to its non-linear nature, azimuth information is difficult to quantify at the measurement level. This work presents a solution by distributing the tracking and quantizing the local estimates in order to increase available bandwidth and decrease the computational burden. Yet, underwater acoustic communications have a very low bandwidth because of the temporal and geographical diversity of sound channels. Data quantization helps decrease the length of information sent from local sensors to the fusion Centre, which can help alleviate network congestion. Although quantization might lessen the burden on a network's budget, the information loss that ensues from the process also leads to subpar tracking performance. This work presents a target tracking system based on optimum quantization to address this issue. Namely, it reduces the extra covariance introduced by quantization in low-bit quantized measurements, hence enhancing their tracking efficiency. The simulation results show that our method outperforms the standard uniform quantization-based target tracking technique and that the increase in data length has a negligible impact on its performance. The proposed technique has been tested in simulation and shown to effectively reduce localization errors and reduce the burden of data transfer in massive 3D submerged sensor nodes. © 2023 IEEE.

关键词： Target tracking

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Secured Transactions in Healthcare supply Chain using Blockchain

Secured Transactions in Healthcare supply Chain using Blockc...

引用

Pervasive computing and Social networking (ICPCSN), international conference on

作者： Muthusundari. S Seemantula Nischal Sathyanarayanan. S Sharath Lingam. S Department of CSE RMD Engineering College Kavaraipettai

ISBN: (数字)9798350386349

ISBN: (纸本)9798350386356

Blockchain technology has emerged as a promising solution to address the security and efficiency challenges in the healthcare supply chain. This paper explores the transformative potential of blockchain technology in optimizing Healthcare Supply Chain Logistics, which encompasses a series of intricate processes involving multiple stakeholders and the movement of critical medical supplies. Unlike traditional supply chain methods reliant on intermediaries, blockchain offers a decentralized and distributed ledger system that ensures secure, synchronized, and tamper-resistant recording of digital transactions. Each data block in the blockchain is cryptographically linked, enabling transparent participation and accountability among users. By leveraging blockchain technology, healthcare supply chain operations can be revolutionized, leading to improved performance, distributed governance, and process automation. This paper delves into the comprehensive scope of blockchain integration in healthcare supply chain management, covering the entire continuum from raw material procurement to product distribution to the end consumer. Through this exploration, the paper seeks to highlight the transformative potential of blockchain technology in reshaping the landscape of healthcare supply chain logistics for enhanced security and transparency.

关键词： Procurement Social networking (online) Scalability Supply chains Medical services Raw materials Blockchains

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A Completely distributed Cloudlet Framework Using 410c SoC

A Completely Distributed Cloudlet Framework Using 410c SoC

引用

international conference on computing and networking Technology (ICCNT)

作者： Manoj Subhash Kakade Anupama Karuppiah Mayank Mathur Manasi Bibekar Gaurav Basu Aaditya Raghavan Ananth Raghav Pranav Lekshminarayanan Dept. of EEE BITS Pilani India Dept. of EEE BITS Goa India Dept. of EEE BITS India

With the emergence of IoT, new computing paradigms have also emerged. Initial IoT systems had all the computing happening on the cloud. With the emergence of Industry 4.0 and IoT being the major building block, clouds are not the only solution for data storage and analytics. The term cloudlets was introduced first in 2011, but research in this area has picked up only over the past couple of years. In this paper, we propose a complete novel distributed architecture for cloudlets, and also we are proposing algorithms for data storage and task allocation across various nodes in the cloud. This cloudlet system was built using Qualcomm Snapdragon 410c. We have analyzed the architecture and the algorithm for varying workloads, bandwidth and data storage. The primary aim of the algorithm and the architecture is to ensure uniform processing and data loads across the nodes of the system.

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Multi-Terminal Collaborative distributed Garden Planning System Integrating CG Technology

Multi-Terminal Collaborative Distributed Garden Planning Sys...

引用

Pervasive computing and Social networking (ICPCSN), international conference on

作者： Ye Wang Qi Liu School of Art Design and Media Sanda University Shanghai China

The fast distributed garden planning system in colleges and universities is one of the mainstream applications of contemporary computers. The latest traditional methods usually use the GPU full virtualization technology as an entry point to improve the problem of a single user and a single computer, so that a physical computer can shared by multiple users without interfering with each other. With this basis, this research study designs the novel multi-terminal collaborative distributed garden planning system integrating CG technology. Key innovations are: (1) The parallel SSOR-AI preconditioning combined with the CG algorithm is proposed to improve the traditional CG model. (2) The designed multi-terminal collaboration model considers the heterogeneous structure that will be more robust for the complex data. (3) The virtual image model is designed to finish the whole work flow. In the experiment part, the data is collected from Baidu search engine with the size of more than 1000000, the various tests are conducted to validate the performance.

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Designing distributed Deep Learning Architectures for 5G Network Slicing

Designing Distributed Deep Learning Architectures for 5G Net...

引用

international conference on computing and networking Technology (ICCNT)

作者： Sweta Kumari Ritu Shree R Thanga Kumar Department of Law ARKA JAIN University Jamshedpur Jharkhand India Department of Computer Science & Application Vivekananda Global University Jaipur India Department of Management School of Management - UG JAIN (Deemed to be University) Bangalore Karnataka India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

The intention present day this paper is to advise a dispensed deep ultra-modern (DL) architecture for 5G network slicing. The proposed allotted DL structure utilizes distributed nodes to learn about the network slices. The dispensed nodes and the community slices are interconnected via an orchestrator, for this reason, supplying a comprehensive view present day the environment. Furthermore, the distributed DL structure leverages switch mastering to enhance its overall performance in dispensed situations. In addition, it is also an aspect computing node to research visitors’ styles present day the 5G slices. Eventually, the proposed allotted DL architecture has been aligned with the 5G architecture, and the disbursed nodes are related through a 5G cellular community. The experimental consequences demonstrate that the proposed allotted DL architecture provides performance for network cutting while lowering the strength consumption and improving community security.

关键词： Knowledge engineering 5G mobile communication Network slicing Scalability Computer architecture Switches Security Resource management Reliability Optimization

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A SDN Multi-Controller and Blockchain Enabled Authentication Framework for Cloud computing

A SDN Multi-Controller and Blockchain Enabled Authentication...

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Electrical, Computer and Energy Technologies (ICECET), international conference on

作者： Khulekani Sibiya Mlungisi Molefe Bakhe Nleya Department of Electronic and Computer Engineeing Durban University of Technology Durban South Africa

ISBN: (数字)9798350395914

ISBN: (纸本)9798350395921

The separation of the data plane and control plane established by software-defined networking (SDN) has completely transformed network architecture. By allowing for centralized network administration and programmability, this architectural change revitalizes the network layer and presents unfamiliar and intriguing problems. Despite appearing to be more robust than traditional networks, SDNs are nonetheless susceptible to attack and have difficult implementation procedures. These traits generate some difficulties of security and privacy when implementing SDN for cloud computing. This paper proposes the Controller-Block model, a cloud computing network security architecture that combines the benefits of two emerging technologies: blockchain and SDN, built on SDN density-based block structure. The distributed peer-to-peer (P2P) networks enabled by blockchain technology offer a secure communication between untrusted nodes inside the network. The paper takes advantage of the distributed block design of an SDN controller to prevent single points of failure and disperse the load evenly throughout the controller and the equipment. The evaluation's results demonstrate that the Controller-Block framework outperforms other models in terms of security and has higher quality bandwidth while facing similar-sized DDoS attacks.

关键词： Cloud computing Computational modeling Authentication Computer architecture Denial-of-service attack Blockchains Peer-to-peer computing Security Software defined networking Computer crime

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Biologically Inspired networking (BIN): Leveraging Neurobiological Principles for Adaptive, Scalable, and Efficient Communication

Biologically Inspired Networking (BIN): Leveraging Neurobiol...

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international conference on computing, networking and Communications (ICNC)

作者： Razvan Cristian Voicu Amanda Frischmann Muhammad Hassan Tanveer Amir Ali Amiri Moghadam Yannique Tello Gabriela Oprea-Ilies Yusun Chang Department of Robotics & Mechatronics Engineering Kennesaw State University Atlanta Georgia Windship Cancer Institute Emory University School of Medicine Atlanta Georgia

ISBN: (数字)9798331520960

ISBN: (纸本)9798331520977

The surge in interconnected applications, particularly in AI, IoT, and intelligent infrastructure, imposes new demands on communication networks, requiring them to handle high data volumes, support real-time exchanges, and dynamically adapt to fluctuating conditions. Traditional networking models, reliant on centralized processing and static protocols, are insufficient to meet these evolving needs, resulting in inefficiencies, latency, and scalability issues. This paper introduces a biologically inspired networking paradigm that mimics neurobiological principles such as event-driven communication, distributed intelligence, and adaptive resource management. By conceptualizing data types as analogous to neurotransmitters and infrastructure learning as synaptic plasticity, the framework provides a dynamic, scalable solution that enhances efficiency and resilience. The proposed model is particularly suited for resource-constrained environments, dynamically optimizing resource allocation and communication pathways in real time. Simulations demonstrate significant improvements in latency, resource utilization, scalability, and reliability, proving its potential as a foundation for next-generation networks.

关键词： Adaptation models Adaptive systems Biological system modeling Scalability Real-time systems Resource management Internet of Things Artificial intelligence Surges Resilience

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