2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)最新文献_第4页

Trusted Virtual Network Embedding in Blockchain-Based Smart Cyber-Physical Systems 基于区块链的智能网络物理系统中的可信虚拟网络嵌入

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00073

Chengcheng Li, Yasheng Zhang, Yi Zhang, Peiying Zhang

引用次数: 0

Analyzing Data Intensive Networks on Chips 分析芯片上的数据密集型网络

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00034

Junwei Zhang, T. G. Robertazzi

引用次数: 0

Efficiently Improving the Performance of Serverless Applications with Microtask-based Scheduling 利用基于微任务的调度有效提高无服务器应用程序的性能

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00066

Sacheendra Talluri, Sven Lankester, B. Ene, Jesse Donkervliet, A. Trivedi, A. Iosup

{"title":"Efficiently Improving the Performance of Serverless Applications with Microtask-based Scheduling","authors":"Sacheendra Talluri, Sven Lankester, B. Ene, Jesse Donkervliet, A. Trivedi, A. Iosup","doi":"10.1109/UCC56403.2022.00066","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00066","url":null,"abstract":"Serverless computing promises to make cloud computing cheaper and easier to use. However, serverless platforms use coarse-grained scheduling which decreases efficiency and application performance. We propose a fine-grained application model for serverless applications, and use it to design a scheduler to improve application performance and efficiency. We model serverless applications as being composed of microtasks, each with its own unique resource requirements. Microtasks are easily identified via distinct application phases like initialize, read, and process. We provide evidence for the existence of microtasks by experimentally evaluating a serverless online game. We design a scheduler that separates microtasks with different CPU requirements into different queues so that the appropriate amount of CPU cores could be allocated to each queue based on the CPU requirements of the microtasks in that queue. We implement and evaluate the design in an application-level proofof-concept microtask-based scheduler and compare it to taskbased scheduling commonly used by serverless platforms. For a distributed sort application, the microtask-based scheduler decreases application makespan by 37% and the duration of I/O based application stages by 81%, compared to task-based scheduling. Our work suggests that there is potential in extracting and using microtask information from serverless applications.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131209092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LLLFS: A Low-latency Library File System for Persistent Memory LLLFS:用于持久内存的低延迟库文件系统

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00062

K. Matsuzawa, Takahiro Shinagawa

引用次数: 0

Developing a Secure Architecture for Internet of Medical Things Using Attribute-Based Encryption 基于属性加密的医疗物联网安全体系结构研究

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00028

Milad Ghanbarafjeh, M. Barati, O. Rana, R. Ranjan

{"title":"Developing a Secure Architecture for Internet of Medical Things Using Attribute-Based Encryption","authors":"Milad Ghanbarafjeh, M. Barati, O. Rana, R. Ranjan","doi":"10.1109/UCC56403.2022.00028","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00028","url":null,"abstract":"The Internet of Medical Things (IoMT) is a new paradigm in the IoT-based healthcare and medical applications which has brought many advantages to this. Increasing in the number of smart medical devices has led to security challenges within IoMT environments. Cryptography and other cuttingedge approaches have been widely used to mitigate the challenges and prevent sensitive data leakage. One of such approaches is the attribute-based encryption (ABE), which enables a fine-grained and flexible access control. However, the ABE does not provide a dynamic encryption mechanism when patients’ conditions change over the period of remote monitoring. To address this, we present a novel security architecture for IoMT that relies on ciphertext policy attributebased encryption (CP-ABE). The architecture applies a dynamic access structure for the encryption in accordance with the status of the medical data collected by IoMT devices. We define some new components mainly hosted on the IoMT gateways in order to encrypt and decrypt the medical data in the architecture. An IoMT use case is presented to show how our proposed architecture supports dynamic encryption in ehealthcare systems.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129005796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CNN-assisted Road Sign Inspection on the Computing Continuum 基于计算连续体的cnn辅助道路标志检测

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00038

Narges Mehran, R.-C. Prodan

{"title":"CNN-assisted Road Sign Inspection on the Computing Continuum","authors":"Narges Mehran, R.-C. Prodan","doi":"10.1109/UCC56403.2022.00038","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00038","url":null,"abstract":"Processing rapidly growing data encompasses complex workflows that utilize the Cloud for high-performance computing and the Fog and Edge devices for low-latency communication. For example, autonomous driving applications require inspection, recognition, and classification of road signs for safety inspection assessments, especially on crowded roads. Such applications are among the famous research and industrial exploration topics in computer vision and machine learning. In this work, we design a road sign inspection workflow consisting of 1) encoding and framing tasks of video streams captured by camera sensors embedded in the vehicles, and 2) convolutional neural network (CNN) training and inference models for accurate visual object recognition. We explore a matching theoretic algorithm named CODA [1] to place the workflow on the computing continuum, targeting the workflow processing time, data transfer intensity, and energy consumption as objectives. Evaluation results on a real computing continuum testbed federated among four Cloud, Fog, and Edge providers reveal that CODA achieves 50%-60% lower completion time, 33%-59% lower CO2 emissions, and 19%-45% lower data transfer intensity compared to two stateof-the-art methods.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129936418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Impact of NVMe-Over-TCP on HDFS Workloads NVMe-Over-TCP对HDFS工作负载的性能影响

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00059

Nikita Sharma, Ruihao Li, Qinzhe Wu, L. John

引用次数: 0

Message from the CIFS Workshop Chairs 来自CIFS研讨会主席的消息

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/ucc56403.2022.00008

引用次数: 0

On the Power Consumption of Serverless Functions: An Evaluation of OpenFaaS 无服务器功能的功耗:OpenFaaS的评估

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00064

Abdulaziz Alhindi, K. Djemame, Fatemeh Banaie Heravan

引用次数: 0

Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model 大数据管道的智能数据放置:基于存储即服务模型的方法

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00056

A. Khan, Nikolay Nikolov, M. Matskin, R.-C. Prodan, Hui Song, D. Roman, A. Soylu

{"title":"Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model","authors":"A. Khan, Nikolay Nikolov, M. Matskin, R.-C. Prodan, Hui Song, D. Roman, A. Soylu","doi":"10.1109/UCC56403.2022.00056","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00056","url":null,"abstract":"The development of big data pipelines is a challenging task, especially when data storage is considered as part of the data pipelines. Local storage is expensive, hard to maintain, comes with several challenges (e.g., data availability, data security, and backup). The use of cloud storage, i.e., Storageas-a-Service (StaaS), instead of local storage has the potential of providing more flexibility in terms of such as scalability, fault tolerance, and availability. In this paper, we propose a generic approach to integrate StaaS with data pipelines, i.e., computation on an on-premise server or on a specific cloud, but integration with StaaS, and develop a ranking method for available storage options based on five key parameters: cost, proximity, network performance, the impact of server-side encryption, and user weights. The evaluation carried out demonstrates the effectiveness of the proposed approach in terms of data transfer performance and the feasibility of dynamic selection of a storage option based on four primary user scenarios.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123315868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0