VMworld vBrownBag vmtn5534e - placement of iot workload operations within a cloud environment
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The Internet of Things (IoT) represents a disruptive technology that has the potential of changing the way we live in this world forever. Gartner predicts that by the end of 2020, there will be approx. 20 billion Internet-connected things, from smartwatches to smart offices generating traffic to communicate. Central to facilitating communication between these things are the Data-Center’s required to store and process the data that IoT devices will generate. The DC infrastructure facilitates applications such as analytics and customer-oriented applications allowing companies to extract value from data that is produced by IoT devices. While DCs provide an essential part of the jigsaw in supporting IoT, Gartner reported that current DC architectures are not prepared to deal with the scale, volume and heterogeneous nature of data that IoT will bring and will face as a result significant challenges in dealing with workload demands in terms of the storage, compute and network requirements to support IoT. Given this challenge, DCs in the future need to be designed and developed bearing IoT in mind. However, the design of a DC is a non-trivial task, and a thorough understanding of the workload demand of IoT applications is required to build a workload model that describes how the DC performs at its busiest time under load. Such models are essential to: design and optimise the management of resources in the DC; and facilitate performance analysis and simulation allowing DC providers to evaluate the impact that configuration changes have on QoS requirements.
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- Falling sensor costs, power efficiencies, ubiquity of mobility, growth of cloud computing, and other modern technologies are fueling more IoT solutions. However, enterprises face challenges like security, data volume/analytics complexity, and lack of standards.
- Dell's portfolio is designed to address these challenges and unlock IoT potential. Their edge gateways feature diverse connectivity, data protocol support, security, and manageability. This infrastructure combined with partners allows customers to gather and analyze data and
The Growth Of Data Centers
Data centers are growing to accommodate more internet-connected devices, with innovations helping achieve network coverage for billions of devices by 2020. As data centers grow, trends like software-driven infrastructure, microtechnology, and alternative energy use are making data centers more efficient by consolidating resources and reducing size. Hyperconvergence allows more efficient use of rack space by consolidating computer storage, networking, and virtualization in compact 2U systems from companies like Simplivity and Nutanix.
20180115 Mobile AIoT Networking-ftsai
"Toward Cognitive-IoT Applications -- Integrating AI with Fog Computing" by Dr. Frank C. D. Tsai, Workshop of Mobile IoT with Edge Computing and Artificial Intelligence, sponsored by Ministry of Education, Taiwan
Thursday Sponsor Conf
This document summarizes key points from the IoT World Forum conference in Chicago in October 2014. It discusses Cisco and Intel's definitions of the Internet of Things, essential elements of edge to cloud IoT solutions, and examples of cost savings and benefits achieved through IoT implementations. It also outlines VMware and AirWatch's roles in IoT, the growing number of connected devices, and several industry leaders collaborating through the Industrial Internet Consortium.
FIWARE Global Summit - Creating Secured Value Chains for Smart Industries
The document discusses creating secured value chains for smart industries. It identifies key obstacles to extensive data sharing between companies such as losing control over data and inconsistent systems. It proposes countermeasures like exploiting FIWARE standards, implementing secure data spaces with data traceability and usage control, and using blockchains and marketplaces. NEC's FogFlow is presented as a way to orchestrate data analytics based on privacy policies by dispatching analytic tasks to isolated worker containers based on location, resources, and data policies. A federated approach is described for multiple stakeholders in smart industries. Finally, a blockchain-based data marketplace is proposed for sharing AI models between industry participants.
2 pc enterprise summit cronin newfinal aug 18
Intel discusses how the evolution of IoT and big data is driving business transformation. Intel provides leading technology from devices to the cloud to deliver end-to-end IoT and big data solutions. Intel is uniquely positioned through its technology, partnerships, and ecosystem to integrate physical systems with data and analytics from the edge to the cloud.
102 105
1. The document discusses the journey to cloud computing through three phases - classic data center, virtual data center, and cloud. In a classic data center, components like compute, applications, databases, storage, and networks are physically separate.
2. The next phase is a virtual data center, where virtualization allows multiple operating systems to run simultaneously on a single physical machine. Virtual machines act like physical machines but are logical files.
3. Security is a key challenge in cloud computing due to the use of virtualization. Various security measures like authentication, access control, and virtual machine theft prevention need to be implemented to secure data and systems in the cloud.
102 105
1) The document discusses the transition from traditional data centers to cloud computing through three phases - classic data center, virtual data center, and cloud. It describes the components and characteristics of each phase.
2) Virtualization is a key concept in cloud computing that allows multiple operating systems to run simultaneously on physical machines. Virtual machines are logical files that act like physical machines.
3) Security is an important challenge in cloud computing. Virtual machines can be targets for theft so proper security measures like authentication, access control, and antivirus software are needed between physical and virtual machines.
Inventory of my IoT slide sets
This document provides an inventory of slide sets related to the Internet of Things (IoT). It begins with a summary of the first few slides which serve as filler slides since clickable links are not allowed. It then lists the titles of various IoT-related slide sets and groups them into two pages. The document also provides lists of IoT news sites and Gartner's top 10 IoT technologies for 2017-2018. The slides cover topics like IoT interfaces, data processing in cyber-physical systems, security, standards, use cases and more.
Effective IoT System on Openstack
This document discusses building an effective IoT system on OpenStack. It describes key IoT use cases and requirements, such as high data volume, velocity, and variety. The proposed architecture uses OpenStack services like Nova, Neutron, Swift, and Ceilometer to provide scalable infrastructure, networking, storage, and monitoring for IoT workloads. The document outlines how OpenStack can support broker integration, device management, flexible data stores, external connectivity, and data federation to realize a full-featured IoT platform. Future work involves proof-of-concept testing of the integrated architecture.
Achieving Data Dissemination with Security using FIWARE and Intel Software Gu...
This document proposes and evaluates a solution to securely disseminate sensitive IoT data using FIWARE and Intel SGX. The solution uses FIWARE components for authentication and authorization, and introduces a new Key Vault component that uses Intel SGX to securely store and manage encryption keys. Sensitive IoT data from smart meters is encrypted before being sent to the FIWARE Orion Context Broker for processing. Consumers that are SGX applications can decrypt and process the data securely within the SGX enclave. The evaluation shows the solution provides privacy and security guarantees without harming scalability or availability.
Cloud 2015: Connecting the Next Billion - Intel Keynote @ HP Discover 2011
- By 2015, there will be over 1 billion more internet users, 15 billion connected devices, and over 1,000 exabytes of internet traffic annually. The cloud computing infrastructure needs to evolve to address security, manageability, and lock-in concerns to support this growth.
- Intel and HP have helped transform industries like supercomputing through advances in performance and cost reductions. Cloud computing can similarly transform computing economics by saving energy and IT costs totaling over $125 billion by 2015.
- Intel's vision is for an automated, federated, and client-aware cloud infrastructure by 2015 to efficiently deliver services across all types of devices.
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
This document summarizes a research paper on privacy-preserving techniques for IoT data in cloud environments. It introduces two differential privacy algorithms: 1) Generic differential privacy (GenDP) which provides generalized privacy protection for homogeneous and heterogeneous IoT metadata through data portioning. 2) Cluster-based differential privacy which groups similar data into clusters before defining classifiers to validate privacy. The paper evaluates these techniques and finds the cluster-based approach offers better security than customized interactive algorithms while maintaining data utility. Overall, the study presents new differential privacy methods for anonymizing IoT metadata stored in the cloud.
The Platform for the Industrial Internet of Things (IIoT)
This document provides an overview of the Industrial Internet of Things (IIoT) and Data Distribution Service (DDS) as a platform for IIoT integration. It discusses how many industries are facing disruption from trends like decentralized energy and software-driven transportation. The key challenge for IIoT is reducing the exponential increase in integration costs as systems scale up in size and complexity. DDS provides a standardized, data-centric integration approach for real-time IIoT applications and services.
The Changing Data Quality & Data Governance Landscape
The document discusses how new technologies like big data, cloud computing, and data virtualization are changing the data quality and data governance landscape. It provides information on each of these emerging trends, including how they generate and utilize large amounts of diverse data sources, provide data and analytic services remotely over the internet, and create virtual integrated views of distributed data. It also notes that these new approaches increase the need for strong data governance and high quality data to ensure proper control, integration, and use of data across organizations.
Similar to VMworld vBrownBag vmtn5534e - placement of iot workload operations within a cloud environment (20)
SEE the Cloud: Hans Timmerman - De cloud daalt neer op aarde
SEE the Cloud: Hans Timmerman - De cloud daalt neer op aarde
De wondere wereld van cloud en sddc 26 nov 2013 ht v1.1
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FIWARE Global Summit - Creating Secured Value Chains for Smart Industries
FIWARE Global Summit - Creating Secured Value Chains for Smart Industries
Achieving Data Dissemination with Security using FIWARE and Intel Software Gu...
Achieving Data Dissemination with Security using FIWARE and Intel Software Gu...
Cloud 2015: Connecting the Next Billion - Intel Keynote @ HP Discover 2011
Cloud 2015: Connecting the Next Billion - Intel Keynote @ HP Discover 2011
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...
The Platform for the Industrial Internet of Things (IIoT)
The Platform for the Industrial Internet of Things (IIoT)
The Changing Data Quality & Data Governance Landscape
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Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
SCALING OF MOS CIRCUITS m .pptx
this ppt explains about scaling parameters of the mosfet it is basically vlsi subject
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Accident detection system project report.pdf
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
* Registration is currently open *
Call for Research Papers!!!
Free – Extended Paper will be published as free of cost.
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
July 13 ~ 14, 2024, Virtual Conference
Webpage URL: https://aiad2024.org/index
Submission Deadline: June 22, 2024
Submission System URL:
https://aiad2024.org/submission/index.php
Contact Us:
Here's where you can reach us : aiad@aiad2024.org (or) aiadconference@yahoo.com
WikiCFP URL: http://wikicfp.com/cfp/servlet/event.showcfp?eventid=180509©ownerid=171656
#artificialintelligence #softcomputing #machinelearning #technology #datascience #python #deeplearning #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #engineering #robot #datascientist #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer #promptengineering #generativeai #genai #chatgpt #artificial #intelligence #datamining #networkscommunications #robotics #callforsubmission #submissionsopen #deadline #opencall #virtual #conference
Digital Twins Computer Networking Paper Presentation.pptx
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Blood finder application project report (1).pdf
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
AI-Based Home Security System : Home security
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Height and depth gauge linear metrology.pdf
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
一比一原版(USF毕业证)旧金山大学毕业证如何办理
原件一模一样【微信：95270640】【旧金山大学毕业证USF学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理旧金山大学毕业证USF学位证毕业证学位证【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
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Call For Paper -3rd International Conference on Artificial Intelligence Advan...
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Zener Diode and its V-I Characteristics and Applications
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Digital Twins Computer Networking Paper Presentation.pptx
Digital Twins Computer Networking Paper Presentation.pptx
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Software Engineering and Project Management - Introduction, Modeling Concepts...
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
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Generative AI Use cases applications solutions and implementation.pdf
Generative AI Use cases applications solutions and implementation.pdf
2. protection of river banks and bed erosion protection works.ppt
2. protection of river banks and bed erosion protection works.ppt
VMworld vBrownBag vmtn5534e - placement of iot workload operations within a cloud environment
- 1. Placement of IoT workload operations within a cloud environment Kenneth Moore 8th November 2018 vmworld VMTN5534E
- 2. © Copyright 2018 Dell Inc.2 Background Kenneth Moore Data Scientist & PhD Student @ Dell EMC Open HCI Solutions Researching workload modelling and simulation of Converged Infrastructure SDDC workloads for large-scale IoT deployments
- 3. © Copyright 2018 Dell Inc.3 Problem / Challenge Large-scale IoT workloads are: 1. Unknown / Unpredictable 2. Rapidly Increasing 3. Disruptive What considerations will support — architecting and managing — SDDC Converged Infrastructure environments — hosting large-scale IoT workloads?
- 4. © Copyright 2018 Dell Inc.5 Anatomy of IoT Devices
- 5. © Copyright 2018 Dell Inc.6 IoT Workload Classifications
- 6. © Copyright 2018 Dell Inc.7 Informational Workloads Numerical Data Database files Historical Data Database files e.g. Fitness tracker
- 7. © Copyright 2018 Dell Inc.8 Interactive Workloads Alert Video Audio Alert Video Audio Alert AudioAlert Audio e.g. Doorbell
- 8. © Copyright 2018 Dell Inc.9 Intelligent Workloads Current Status Message Current Status Message Historical Usage Data User Action Message User Action Message External Data Consultation External Data Ingestion e.g. Thermostat
- 9. © Copyright 2018 Dell Inc.10 Connected Car Workloads
- 10. © Copyright 2018 Dell Inc.11 Converged Infrastructure ITOM Considerations
- 11. © Copyright 2018 Dell Inc.13 Building out a fog
- 12. © Copyright 2018 Dell Inc.14 Questions