WattDepot: A software ecosystem for energy data collection, storage, analysis...Robert Brewer
WattDepot is an open source, Internet-based, service-oriented framework for collection, storage, analysis, and visualization of energy data. WattDepot differs from other energy management solutions in one or more of the following ways: it is not tied to any specific metering technology; it provides high-level support for meter aggregation and data interpolation; it can provide near-real time data collection and feedback; and the software is open source and freely available.
Build Applications without Pipelines: Shortest path from complex data to live...Anirudh Ramanathan
In this talk, we will use Rockset, a serverless search and analytics engine, to demonstrate how developers can easily plug in alternative data and build apps on those data sets. Specifically, we will work with the JSON data stream from Twitter’s Firehose streams API and NASDAQ’s Company Lookup directory exported in CSV format. Using Rockset, we will demonstrate how these two data sets can be loaded, and immediately queried and joined using SQL, without any upfront data preparation or complex data pipelines.
Rockset is founded by former members of Facebook’s online data team, who helped create RocksDB, Facebook’s TAO, Unicorn, and HDFS.
Timeline: An Operating System Abstraction for Time-Aware Applicationsbane5isp
This document summarizes a research paper about Timeline, an operating system abstraction that allows time-aware applications to be aware of timing uncertainty in distributed systems. The abstraction introduces the concept of Quality-of-Time (QoT) to convey uncertainty. It presents a QoT architecture that uses timelines maintained as trees and bindings as linked lists to coordinate time synchronization across nodes based on application requirements. The implementation uses a data distribution service and synchronization services. Evaluation results show the approach enables choreographed scheduling while balancing performance and resource usage.
The RECONN system by Spectra Automation connects, translates, integrates, correlates and warehouses process data from bioreactors and analyzers. This facilitates analysis, reporting, alarm notifications and archiving while allowing experts to spend more time on analysis. RECONN can link to any equipment via common communication platforms and can be customized for existing and future needs. Spectra is seeking partners for beta testing of the RECONN system.
Cloud Analytics Engine Value - Juniper Networks Juniper Networks
The Cloud Analytics Engine provides a new way to analyze networks that is automated, proactive, and gives visibility into both physical and virtual environments. It collects data at wire speed and uses this to give insights into application performance, network usage, and troubleshooting across physical and software-defined infrastructure. The open and standards-based system integrates analytics, visibility, and orchestration to provide a holistic view of both underlay networks and overlay applications and workloads.
What to consider when moving to Microsoft Azure
The slide deck is about the observations, discoveries and obstacles we had to deal with while lifting and shifting the IT infrastructure of a few clients from either on-premise or from other hosting providers to Microsoft Azure.
This talk was given at the Azure Accelerator Conference by Liquid Telecom in Mauritius.
https://www.liquidtelecom.com/azure-accelerator-event-mauritius-2019.html
Air Quality Data Acquisition and Management Systems for TribesAgilaire LLC
Agilaire is the The Most Popular Choice for Air Quality Data Management
Used by 70% of US / USEPA Monitoring Agencies
Internationally successful in the Far East , Middle East, and South America
Worked with the first tribal air programs (Cherokee Nation), now also work with:
Sac and Fox
Wampanoag
Cherokee, Eastern Band
Salt River Pima
Torres-Martinez
Colville
Micmac
Southern Ute
Quapaw
WattDepot: A software ecosystem for energy data collection, storage, analysis...Robert Brewer
WattDepot is an open source, Internet-based, service-oriented framework for collection, storage, analysis, and visualization of energy data. WattDepot differs from other energy management solutions in one or more of the following ways: it is not tied to any specific metering technology; it provides high-level support for meter aggregation and data interpolation; it can provide near-real time data collection and feedback; and the software is open source and freely available.
Build Applications without Pipelines: Shortest path from complex data to live...Anirudh Ramanathan
In this talk, we will use Rockset, a serverless search and analytics engine, to demonstrate how developers can easily plug in alternative data and build apps on those data sets. Specifically, we will work with the JSON data stream from Twitter’s Firehose streams API and NASDAQ’s Company Lookup directory exported in CSV format. Using Rockset, we will demonstrate how these two data sets can be loaded, and immediately queried and joined using SQL, without any upfront data preparation or complex data pipelines.
Rockset is founded by former members of Facebook’s online data team, who helped create RocksDB, Facebook’s TAO, Unicorn, and HDFS.
Timeline: An Operating System Abstraction for Time-Aware Applicationsbane5isp
This document summarizes a research paper about Timeline, an operating system abstraction that allows time-aware applications to be aware of timing uncertainty in distributed systems. The abstraction introduces the concept of Quality-of-Time (QoT) to convey uncertainty. It presents a QoT architecture that uses timelines maintained as trees and bindings as linked lists to coordinate time synchronization across nodes based on application requirements. The implementation uses a data distribution service and synchronization services. Evaluation results show the approach enables choreographed scheduling while balancing performance and resource usage.
The RECONN system by Spectra Automation connects, translates, integrates, correlates and warehouses process data from bioreactors and analyzers. This facilitates analysis, reporting, alarm notifications and archiving while allowing experts to spend more time on analysis. RECONN can link to any equipment via common communication platforms and can be customized for existing and future needs. Spectra is seeking partners for beta testing of the RECONN system.
Cloud Analytics Engine Value - Juniper Networks Juniper Networks
The Cloud Analytics Engine provides a new way to analyze networks that is automated, proactive, and gives visibility into both physical and virtual environments. It collects data at wire speed and uses this to give insights into application performance, network usage, and troubleshooting across physical and software-defined infrastructure. The open and standards-based system integrates analytics, visibility, and orchestration to provide a holistic view of both underlay networks and overlay applications and workloads.
What to consider when moving to Microsoft Azure
The slide deck is about the observations, discoveries and obstacles we had to deal with while lifting and shifting the IT infrastructure of a few clients from either on-premise or from other hosting providers to Microsoft Azure.
This talk was given at the Azure Accelerator Conference by Liquid Telecom in Mauritius.
https://www.liquidtelecom.com/azure-accelerator-event-mauritius-2019.html
Air Quality Data Acquisition and Management Systems for TribesAgilaire LLC
Agilaire is the The Most Popular Choice for Air Quality Data Management
Used by 70% of US / USEPA Monitoring Agencies
Internationally successful in the Far East , Middle East, and South America
Worked with the first tribal air programs (Cherokee Nation), now also work with:
Sac and Fox
Wampanoag
Cherokee, Eastern Band
Salt River Pima
Torres-Martinez
Colville
Micmac
Southern Ute
Quapaw
This document summarizes a presentation on assessing the accuracy of LiDAR data using ArcGIS 10.1. The goals were to determine if ArcGIS could accurately assess LiDAR data by comparing it to check points based on 8 statistics. It discusses the history of LiDAR, how it is handled in ArcGIS, and compares LAS datasets to terrain datasets. The code structure calculates residuals and statistics to output accuracy measurements to assess if the data meets ASPRS and USGS guidelines. In conclusion, ArcGIS can visually inspect LiDAR but other software is needed for full analysis capabilities.
This document summarizes a system for visualizing real-time network alerts to identify command and control (C2) infrastructure. The system (1) collects firewall security events from hosts and sends them to Apache Kafka, (2) uses Apache Spark to consume the Kafka messages and correlate the alerts to generate a continuously evolving network graph, and (3) displays the network graph using Gephi Streaming, typically taking around 45 seconds from event creation to display. The system is able to correlate and display many thousands of events per second.
Sathya Bettadapura developed TrafficHelper to warn drivers about traffic hazards by joining user position updates and incident notifications streams in real-time. Two approaches were tested: a Spark DStream join which involved significant shuffling but completed in 1 second, and a manual join using Redis to share data locally, completing faster in 787 milliseconds with less shuffling. The challenges involved efficiently joining two separate data streams from different sources in Spark.
Distributed Data Intelligence with Rockchain provides a distributed data processing infrastructure using blockchain technology. It features distributed fact map nodes to store data on an Ethereum blockchain and compute reduce nodes running a Javascript engine to execute certified data scripts. Computations are notarized on the blockchain to ensure data privacy and integrity. The system aims to enable multi-agent data science as an evolving self-organized system using blockchain for consensus and persistence.
Rockchain.org is building a data processing infrastructure for the Ethereum Blockchain. Rockchain doesn't move any data: it distributes the data intelligence to the data. Any computation, static data or stream, is dealt with in accordance to detailed privacy requirements maintained on Ethereum.
This document summarizes a business intelligence project for a construction company called AllWorks. The project involves integrating various external data sources like Excel spreadsheets, XML files, and CSV files into a SQL Server database using SQL Server Integration Services (SSIS). Dimensional models are created in SQL Server Analysis Services (SSAS) from the integrated data. SQL Server Reporting Services (SSRS) and Excel are used to build reports on the data. PerformancePoint Server (PPS) is used to create dashboards with KPIs, charts, and filters that provide insights into employee, customer, timesheet, and invoice data.
This presentation shows the general methodology of porting a JEE web application to GigaSpaces XAP and the lessons learned from the process of porting the Spring PetClinic sample application to the GigaSpaces platform
Dong Long is pursuing a Master of Science in Electrical and Computer Engineering at Duke University with a 3.9 GPA. He has internship experience as a Software Developer Intern at Itron, where he implemented data structures, developed JSON converters in C#, and wrote performance tests in C# using Selenium. His skills include programming languages like C, C++, Java, PostgreSQL, MongoDB, and Scala. He has completed several class projects at Duke involving developing Android and web apps, simulators, kernel modules, and multi-threaded games.
The Capacity Monitor is being developed as part of Project JARVIS to monitor the usage status of machines in a shop in real-time. It uses multiple sensors attached to each machine to determine if it is running or not. When completed, it will be able to swap between different sensor types depending on the machine. The monitor collects data from the sensors periodically and uploads it to a file or website upon receiving an external command, then deletes the old file. This will provide real-time information on machine capacity across the entire facility.
The R Ecosystem consists of the R Foundation which oversees the R programming language and its core development. The R Core Group maintains the R software and CRAN which distributes R packages. A large contributor and user community provides documentation, blogs, user groups and additional software/services to support the widespread use of R.
This morning I presented the “Managing VMware vSphere 4 with The Virtualization EcoShell” session for an audience of 200+ people at the Dutch VMUG event in Nieuwegein. The total number of attendees is over 600!!! Here’s a copy of my slide deck.
Meniscus Advanced Energy Analytics PlatformMike Everest
MAP delivers advanced energy management capabilities by giving users the ability to monitor the performance of their most energy-intensive processes in a building or site such as; pumping, refrigeration, ventilation. MAP can deliver the key metrics to identify process inefficiencies as well as modelling complex electricity tariffs, providing real-time energy metrics and much more. www.meniscus.co.uk
Bo Li is seeking a full-time software development position starting in February 2017. He has a Master's degree in Computer Science from Stevens Institute of Technology and Master's and Bachelor's degrees in Electrical Engineering from schools in Beijing, China. He has over 4 years of experience as a Software Development Engineer developing driverless train control systems. He is proficient in programming languages like C/C++, Java, JavaScript, Python and frameworks like Flask, Hadoop, and Bootstrap. He has also completed academic projects at Stevens Institute including developing a micro Twitter and eBay server in Python/Flask and a movie recommender system using Scala on Amazon EC2 that recommends movies based on a user's preferences.
The document introduces continuous integration (CI), discussing its motivation, benefits, and how to implement it using the Hudson/Jenkins open source tool. CI ensures that code commits can be automatically built, tested and integrated to find issues early. The document recommends setting up a Jenkins server to regularly pull code from source control, run tests, and email developers on failures, improving the development workflow.
Kukui Cup 2012 Organizing Committee February MeetingPhilip Johnson
The February meeting of the Kukui Cup/UH 2012 Organizing Committee covered the following topics:
1. Introductions and feedback on past Kukui Cup events, noting things that were liked and could be improved.
2. A review of the 2011 t-shirts, swag, schedule, and point system to gather feedback for 2012.
3. A discussion of workshop reviews and promotional video production for the 2012 Kukui Cup.
4. Next steps including providing feedback over the summer and helping plan events in fall 2012.
Honors thesis overview: Katie Amberg-JohnsonPhilip Johnson
The document discusses using molecular tweezers to investigate the fracture point of the σ54 core binding domain during transcription initiation. The experiment involves generating DNA handles, attaching them to the purified core binding domain protein, and then using molecular tweezers to apply force and simulate the "tugging" by the activator binding domain. This could reveal if the two subdomains of the core binding domain unfold separately or together under stress.
This document presents a preliminary report on energy consumption data from buildings at the University of Hawaii (UH) and Hawaii Pacific University (HPU) during their 2012 Kukui Cup energy reduction competition. The data shows that buildings at UH generally saw an increase in energy use from August to October, while buildings at HPU remained flat. The competition appeared to temporarily flatten the rising trend at UH when participation was over 60%. Buildings with 100% participation at HPU saw up to a 20% reduction, while most buildings at both universities showed little impact from the competition.
This document provides an overview of the TeamHawaii Solar Decathlon software system interface milestone 2 kickoff. The goal is to implement monitoring and control for five house systems by April 2011 to explore the design space of these capabilities. It discusses what makes a house "smart" through integration, data collection, and control. The system architecture collects data from house systems through various interfaces to a central iHale API and repository for monitoring and sending control commands. Details are provided on assumptions for milestone 2 capabilities for each system and issues to consider regarding monitoring and control capabilities.
Introduction to ICS 691: Software Engineering for the Smart GridPhilip Johnson
This seminar provides an introduction to software engineering for the smart grid. It will be conducted as a graduate seminar with students leading discussions and presenting on research papers. The seminar topics will focus on areas related to smart grid software research. Assessments will include seminar preparation, presentation, and engagement as well as biweekly progress reports on an individual smart grid software project.
Introduction to Issue Driven Project ManagementPhilip Johnson
The document introduces issue-driven project management (IDPM), a simple approach for small group software projects. IDPM divides work into tasks represented as issues on an issue tracking system. Tasks are assigned as issues to individual team members and status is updated as tasks are started, completed, or new tasks identified. Daily stand-up meetings are used to assign new tasks, ensure forward progress, and quickly address any blockers or breakdowns.
This document summarizes a presentation on assessing the accuracy of LiDAR data using ArcGIS 10.1. The goals were to determine if ArcGIS could accurately assess LiDAR data by comparing it to check points based on 8 statistics. It discusses the history of LiDAR, how it is handled in ArcGIS, and compares LAS datasets to terrain datasets. The code structure calculates residuals and statistics to output accuracy measurements to assess if the data meets ASPRS and USGS guidelines. In conclusion, ArcGIS can visually inspect LiDAR but other software is needed for full analysis capabilities.
This document summarizes a system for visualizing real-time network alerts to identify command and control (C2) infrastructure. The system (1) collects firewall security events from hosts and sends them to Apache Kafka, (2) uses Apache Spark to consume the Kafka messages and correlate the alerts to generate a continuously evolving network graph, and (3) displays the network graph using Gephi Streaming, typically taking around 45 seconds from event creation to display. The system is able to correlate and display many thousands of events per second.
Sathya Bettadapura developed TrafficHelper to warn drivers about traffic hazards by joining user position updates and incident notifications streams in real-time. Two approaches were tested: a Spark DStream join which involved significant shuffling but completed in 1 second, and a manual join using Redis to share data locally, completing faster in 787 milliseconds with less shuffling. The challenges involved efficiently joining two separate data streams from different sources in Spark.
Distributed Data Intelligence with Rockchain provides a distributed data processing infrastructure using blockchain technology. It features distributed fact map nodes to store data on an Ethereum blockchain and compute reduce nodes running a Javascript engine to execute certified data scripts. Computations are notarized on the blockchain to ensure data privacy and integrity. The system aims to enable multi-agent data science as an evolving self-organized system using blockchain for consensus and persistence.
Rockchain.org is building a data processing infrastructure for the Ethereum Blockchain. Rockchain doesn't move any data: it distributes the data intelligence to the data. Any computation, static data or stream, is dealt with in accordance to detailed privacy requirements maintained on Ethereum.
This document summarizes a business intelligence project for a construction company called AllWorks. The project involves integrating various external data sources like Excel spreadsheets, XML files, and CSV files into a SQL Server database using SQL Server Integration Services (SSIS). Dimensional models are created in SQL Server Analysis Services (SSAS) from the integrated data. SQL Server Reporting Services (SSRS) and Excel are used to build reports on the data. PerformancePoint Server (PPS) is used to create dashboards with KPIs, charts, and filters that provide insights into employee, customer, timesheet, and invoice data.
This presentation shows the general methodology of porting a JEE web application to GigaSpaces XAP and the lessons learned from the process of porting the Spring PetClinic sample application to the GigaSpaces platform
Dong Long is pursuing a Master of Science in Electrical and Computer Engineering at Duke University with a 3.9 GPA. He has internship experience as a Software Developer Intern at Itron, where he implemented data structures, developed JSON converters in C#, and wrote performance tests in C# using Selenium. His skills include programming languages like C, C++, Java, PostgreSQL, MongoDB, and Scala. He has completed several class projects at Duke involving developing Android and web apps, simulators, kernel modules, and multi-threaded games.
The Capacity Monitor is being developed as part of Project JARVIS to monitor the usage status of machines in a shop in real-time. It uses multiple sensors attached to each machine to determine if it is running or not. When completed, it will be able to swap between different sensor types depending on the machine. The monitor collects data from the sensors periodically and uploads it to a file or website upon receiving an external command, then deletes the old file. This will provide real-time information on machine capacity across the entire facility.
The R Ecosystem consists of the R Foundation which oversees the R programming language and its core development. The R Core Group maintains the R software and CRAN which distributes R packages. A large contributor and user community provides documentation, blogs, user groups and additional software/services to support the widespread use of R.
This morning I presented the “Managing VMware vSphere 4 with The Virtualization EcoShell” session for an audience of 200+ people at the Dutch VMUG event in Nieuwegein. The total number of attendees is over 600!!! Here’s a copy of my slide deck.
Meniscus Advanced Energy Analytics PlatformMike Everest
MAP delivers advanced energy management capabilities by giving users the ability to monitor the performance of their most energy-intensive processes in a building or site such as; pumping, refrigeration, ventilation. MAP can deliver the key metrics to identify process inefficiencies as well as modelling complex electricity tariffs, providing real-time energy metrics and much more. www.meniscus.co.uk
Bo Li is seeking a full-time software development position starting in February 2017. He has a Master's degree in Computer Science from Stevens Institute of Technology and Master's and Bachelor's degrees in Electrical Engineering from schools in Beijing, China. He has over 4 years of experience as a Software Development Engineer developing driverless train control systems. He is proficient in programming languages like C/C++, Java, JavaScript, Python and frameworks like Flask, Hadoop, and Bootstrap. He has also completed academic projects at Stevens Institute including developing a micro Twitter and eBay server in Python/Flask and a movie recommender system using Scala on Amazon EC2 that recommends movies based on a user's preferences.
The document introduces continuous integration (CI), discussing its motivation, benefits, and how to implement it using the Hudson/Jenkins open source tool. CI ensures that code commits can be automatically built, tested and integrated to find issues early. The document recommends setting up a Jenkins server to regularly pull code from source control, run tests, and email developers on failures, improving the development workflow.
Kukui Cup 2012 Organizing Committee February MeetingPhilip Johnson
The February meeting of the Kukui Cup/UH 2012 Organizing Committee covered the following topics:
1. Introductions and feedback on past Kukui Cup events, noting things that were liked and could be improved.
2. A review of the 2011 t-shirts, swag, schedule, and point system to gather feedback for 2012.
3. A discussion of workshop reviews and promotional video production for the 2012 Kukui Cup.
4. Next steps including providing feedback over the summer and helping plan events in fall 2012.
Honors thesis overview: Katie Amberg-JohnsonPhilip Johnson
The document discusses using molecular tweezers to investigate the fracture point of the σ54 core binding domain during transcription initiation. The experiment involves generating DNA handles, attaching them to the purified core binding domain protein, and then using molecular tweezers to apply force and simulate the "tugging" by the activator binding domain. This could reveal if the two subdomains of the core binding domain unfold separately or together under stress.
This document presents a preliminary report on energy consumption data from buildings at the University of Hawaii (UH) and Hawaii Pacific University (HPU) during their 2012 Kukui Cup energy reduction competition. The data shows that buildings at UH generally saw an increase in energy use from August to October, while buildings at HPU remained flat. The competition appeared to temporarily flatten the rising trend at UH when participation was over 60%. Buildings with 100% participation at HPU saw up to a 20% reduction, while most buildings at both universities showed little impact from the competition.
This document provides an overview of the TeamHawaii Solar Decathlon software system interface milestone 2 kickoff. The goal is to implement monitoring and control for five house systems by April 2011 to explore the design space of these capabilities. It discusses what makes a house "smart" through integration, data collection, and control. The system architecture collects data from house systems through various interfaces to a central iHale API and repository for monitoring and sending control commands. Details are provided on assumptions for milestone 2 capabilities for each system and issues to consider regarding monitoring and control capabilities.
Introduction to ICS 691: Software Engineering for the Smart GridPhilip Johnson
This seminar provides an introduction to software engineering for the smart grid. It will be conducted as a graduate seminar with students leading discussions and presenting on research papers. The seminar topics will focus on areas related to smart grid software research. Assessments will include seminar preparation, presentation, and engagement as well as biweekly progress reports on an individual smart grid software project.
Introduction to Issue Driven Project ManagementPhilip Johnson
The document introduces issue-driven project management (IDPM), a simple approach for small group software projects. IDPM divides work into tasks represented as issues on an issue tracking system. Tasks are assigned as issues to individual team members and status is updated as tasks are started, completed, or new tasks identified. Daily stand-up meetings are used to assign new tasks, ensure forward progress, and quickly address any blockers or breakdowns.
This document discusses predictive maintenance using sensor data in utility industries. It describes how sensors can monitor infrastructure and predict failures by analyzing patterns in sensor data using machine learning models. An architecture is proposed that uses big data frameworks like Spark, Kafka and HBase to collect, analyze and store large volumes of real-time sensor data at scale. Predictive analytics on this data with techniques like clustering and regression can detect anomalies and predict failures to enable condition-based maintenance in utilities. Modeling uncertain sensor readings with probabilistic and autoregressive approaches is also discussed.
This document discusses building real-time web applications and introduces SignalR as a library that simplifies creating persistent HTTP connections for real-time functionality. It describes how older techniques like polling and long polling have disadvantages, while newer techniques like web sockets have limited browser support. SignalR abstracts these complexities by automatically negotiating the best transport and allowing real-time functionality to be easily added to applications. It also enables scaling out applications across servers and backing services. Demos and components of SignalR are presented, along with how it provides a fallback mechanism to support older servers and clients.
The document discusses the design of a relational database system called the Supersite Relational Data System (SRDS) that would integrate air quality monitoring data from multiple Supersite projects and auxiliary datasets for cross-site analysis. It proposes using a star schema with dimensions for time, location, parameter, and method to facilitate querying and comparisons across different monitoring sites and projects. The schema would be extended as needed based on user requirements and consensus-building within the Supersite working groups.
This document discusses design patterns for Internet of Things (IoT) architectures. It describes patterns for connecting smart devices and enabling them to interact and share data over networks. Some key patterns discussed include using REST APIs to expose device data and functions, object models and data models to describe devices and standardize data formats, and protocols like CoAP, HTTP, and MQTT to facilitate communication between devices and applications. The document provides examples of how these patterns can be applied to build IoT systems and interfaces to connect diverse devices.
The document discusses the evolution of cloud computing from mainframes to modern cloud architectures, defining cloud computing as applications and services delivered over the internet using scalable resources. It outlines the different types of cloud computing including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The architecture of cloud computing is described as distributed infrastructure composed of data centers, clusters, and virtualized resources delivered as on-demand utilities over the internet.
AWS Webcast - Build Mobile Apps with a Secure, Scalable Back End on DynamoDBAmazon Web Services
Mobile apps and connected devices require a secure and scalable back end to deliver an excellent user experience. DynamoDB makes it easy to securely store and serve data, with remarkably low latency. Join us to learn how to easily build scalable mobile apps with a powerful back end.
Prototype Implementation of a Demand Driven Network Monitoring ArchitectureAugusto Ciuffoletti
The document summarizes a prototype implementation of an on-demand network monitoring architecture. The architecture features clients that submit monitoring requests, sensors that perform the monitoring, and agents that route requests and streams. The prototype implements the key components in Java and uses SOAP, UDP, and LDAP. It was developed over three months as a proof of concept for an on-demand approach to network monitoring at Internet scale.
Monitoring as an entry point for collaborationJulien Pivotto
This document summarizes a talk on using monitoring as an entry point for collaboration. It discusses using the Prometheus monitoring system to collect metrics and expose them using exporters. Grafana is then used to visualize the metrics and create dashboards focused on business metrics like requests, errors, and durations. These metrics provide observability across teams and enable alerting when business services are impacted.
The document describes the OGCE Workflow Toolkit and its applications for multi-scale science. It discusses the Data Capacitor storage solution and science gateways that provide tools and data access via portals. The LEAD weather gateway is used as an example, allowing access to radar data. The OGCE toolkit includes services like the workflow engine, registry, and event notification bus that enable flexible and extensible scientific workflows across resources like TeraGrid.
The document describes an asynchronous middleware for developing and deploying asynchronous mobile web services. It proposes a framework that provides APIs to facilitate asynchronous communication and reduce development costs. The framework supports polling and callback interactions, and provides mechanisms for service creation, control, monitoring and dynamic management. It presents proof-of-concept evaluation using a sensor network application and discusses performance results and future work.
Distributed Data Flow for the Web of Things: Distributed Node-REDMichael Blackstock
This document discusses the potential for distributed data flow platforms to support Internet of Things application development. It summarizes two existing platforms, WoTKit and Node-RED, and proposes a model for distributing data flows across devices. Key aspects include associating subflows with devices, using remote wires to connect nodes across devices, and deploying flows to devices over MQTT. The goal is to allow visual programming of IoT applications that can coordinate actions between multiple physical things.
Intel apj cloud big data summit sdi press briefing - panhorstIntelAPAC
This document discusses rearchitecting the data center with software defined infrastructure. It notes that the number of connected devices driving data center usage is growing exponentially. Traditionally, data centers have been hardware defined and static, but software defined infrastructure allows for automated, dynamic provisioning of compute, storage and network resources as virtual machines. This speeds service provisioning from months to minutes. The document outlines how network functions can be virtualized and the network software defined. It also discusses software defined storage that treats storage as a service and software defined infrastructure that uses orchestration to deliver applications from a pool of resources.
FRED is a hosted data flow platform based on Node-RED that allows multiple users to easily create and deploy IoT integrations in the cloud. It addresses limitations of Node-RED by enabling access control, instance management, and node package installation for users. FRED uses a "smart proxy" approach to deploy Node-RED instances without modifications. Future work includes simplifying flow development, improving scalability, and developing Distributed Node-RED to deploy flows across cloud, servers and devices.
The document discusses the need for an open horizontal platform to enable interoperability in the Internet of Things (IoT). It describes some of the current challenges with separate vertical application stacks that use different protocols and APIs, trapping devices, code, user experiences, and data in isolated "silos". The proposed solution is an open platform that enables any application to connect to any connected thing via any M2M protocol, using common data models, semantic models, and a model-driven architecture to achieve interoperability. Key aspects of this open platform approach include breaking down silos, enabling "network effect" applications, and achieving "write once, run anywhere" software interoperability.
The IMPACT Interoperability Framework provides a way to integrate various OCR and other software components into reusable workflows. It uses a Java-based architecture with web services and the open source Taverna workflow system. Developers can integrate new command line tools as web services with minimal effort, and workflows can then be built, shared, and executed through a web portal. The framework has been evaluated for scalability and is intended to support a community around sharing workflows and experiments.
Open Horizontal Platform - Web Scale Interoperability for the Internet of Thi...Michael Koster
The document discusses the need for an open horizontal platform to enable interoperability across the diverse protocols, devices, data sources and software in the Internet of Things (IoT). It proposes addressing this through common data models and abstractions that separate the control plane from the data plane. This would allow any application to connect to any device via any M2M protocol, while enabling reuse of resources and software components across platforms through model-driven architecture and event-driven communication.
Open Horizontal Platform - Web Scale Interoperability for IoT - CCNA 2013Michael Koster
The document discusses the need for an open horizontal platform to enable interoperability across the diverse protocols, devices, data sources and software in the Internet of Things (IoT). It proposes addressing this through common data models and abstractions that allow any application to connect to any device via any M2M protocol. This is achieved by representing devices, data and metadata as web objects that encapsulate local software components and expose a self-describing data model and event model through RESTful APIs.
Big data appliance ecosystem - in memory db, hadoop, analytics, data mining, business intelligence with multiple data source charts, twitter support and analysis.
Introduction to Subversion and Google Project HostingPhilip Johnson
This document introduces Subversion (SVN) and Google Project Hosting. It describes basic SVN concepts like repositories, working copies, commits, updates and revisions. It explains how SVN uses repository-wide revisions rather than file-based versions. Branches, tags and trunks are organized conventionally in an SVN repository. Google Project Hosting provides a free SVN server and issue tracker for open source projects.
Introduction to Version Control and Configuration ManagementPhilip Johnson
Version control systems like SVN aim to address three classic configuration management problems: the double maintenance problem of multiple copies needing separate updates, the shared data problem of developers accessing the same files, and the simultaneous update problem of file clobbering during concurrent edits. SVN improves on CVS by using a database backend instead of file versions, supporting repository-wide instead of file-based versions, and using directory-based tags and branches. Distributed version control systems like Git store a full code repository locally and support decentralized workflows without a central server.
Testing is important because software errors can have serious consequences like customer bank balances being inflated by $763 billion or radiation therapy machines overexposing patients. Testing helps verify that software meets its specifications and functions as intended. There are two main types of testing: static testing which analyzes source code without running programs, and dynamic testing which executes programs to look for errors. It is difficult to exhaustively test all possible inputs for non-trivial programs, so test cases must strategically sample a small percentage of inputs to uncover many defects. Both black box and white box testing methods aim to design effective test cases.
Introduction to automated quality assurancePhilip Johnson
This document discusses automated quality assurance tools and how they can be used to complement manual quality assurance techniques. It provides an overview of common automated QA tools like Checkstyle, PMD and FindBugs, describing their strengths and weaknesses. Checkstyle performs source code analysis to check for coding standard compliance and best practices. PMD also analyzes source code but focuses more on design-level issues. FindBugs analyzes bytecodes to find bugs, using data flow analysis. The goal in this class is to teach students to apply the right mix of automated and manual QA to build high quality systems efficiently.
This document introduces build and packaging technologies, including Ant, Ivy, Maven and Make. It discusses the motivation for using build tools in modern software development which involves multiple developers, platforms and environments. It provides an overview of Ant, Make, Maven and Ivy, comparing their features and advantages. It also describes how to structure an Ant-based build system using the example robocode-pmj-dacruzer project.
The document discusses software review methods and optimal review practices. It describes different review methods from walkthroughs to inspections and their goals and attributes. Inspections are highlighted as the most formal review method, involving preparation, an orientation, planning, a review meeting, rework, and verification stages. The goals of technical reviews are also outlined, including improving quality and knowledge while minimizing costs.
This document introduces Robocode, an open-source robot simulation game. It is used to teach students Java programming skills through developing robots that can move, scan for others using radar, and fire guns, while gaining points for survival and hitting opponents. Students will download Robocode, run sample robot matches, and use Eclipse to develop and run their own robot by learning skills like movement, targeting, and firing to make their robot win matches against others.
The document discusses coding standards and conventions for collaborative Java development. It outlines general principles like adhering to style and least astonishment. It also describes specific formatting, naming, documentation, and programming conventions like using meaningful names, commenting code, making fields private, and exception handling best practices. Automated tools like Checkstyle and Eclipse formatters can help enforce standards but may require configuration. Additional standards for the class are on the website.
An interactive development environment (IDE) is a software tool that aids in computer programming. Key features of an IDE include language-aware editing, project management, integrated compilation and debugging. While IDEs take more time to learn than basic text editors, they allow developers to work more efficiently on large software projects through features like code navigation, refactoring and testing. For these reasons, potential employers often expect job candidates to be skilled with IDEs like Eclipse rather than basic text editors.
The document discusses modern Java constructs introduced after Java 5, including collections, generics, autoboxing, enumerated types, annotations, and how to properly design classes to work with collections. It provides code examples and best practices for using these constructs and highlights resources like Java in a Nutshell and Effective Java for further reading.
This document discusses the components that make up a professional persona, which is an online presence that potential employers can view. It identifies the key elements as: 1) a professional portfolio website, 2) an online engineering blog, 3) participation in open source projects, 4) involvement in professional social networks, and 5) engagement with technical societies and activities. The goal is to help students establish an attractive online presence that showcases their skills and accomplishments to future employers.
This document provides an overview of the ICS 314 and 613: Software Engineering course taught by Philip Johnson. It outlines the instructor's background and contact information, goals of the course, what constitutes "quality" software, open source development principles, standards and feedback, course structure, prerequisites, grading, differences between 314 and 613, lectures and labs, quizzes, engineering log requirements, developing a professional persona, collaboration vs. cheating policies, and lessons learned from past students.
This document summarizes feedback from Milestone 1 of a software development project and plans for Milestone 2. It identifies issues with the initial code quality, testing, and functionality and provides solutions. It then outlines the plans for Milestone 2, which include consolidating into three teams, improving the Java and REST APIs, focusing on quality assurance, and expanding the functionality and realism of the simulation.
The document outlines Milestone 1 of the iHale project which aims to build a functional working system with a front end Wicket user interface and back end modules for communication, data storage, and simulation. It describes developing a REST API to define communication between the simulator and backend and a Java API specified via code and wiki to enable communication between the front end and backend. The document concludes that it is time to demonstrate this initial milestone.
This document provides an introduction to APIs, discussing what they are, their advantages and disadvantages, and examples of different types of APIs. APIs specify the boundary and communication between two systems, defining the functions and objects that can be passed. APIs can exist within a single program or between independent programs. They simplify design, enable change without affecting the entire system, and allow for scaling and concurrent development. However, APIs also increase complexity and can make some changes more difficult. Examples provided include the Java Collections Framework interface and the Twitter REST API.
Introduction to persistency and Berkeley DBPhilip Johnson
This document discusses different data models for databases including hierarchical, relational, object-oriented, NoSQL, and object-relational models. It also covers the differences between client-server and embedded databases as well as introducing BerkeleyDB as an open source, embedded, non-relational database management system.
The document discusses the Restlet Contact Service, which allows for addition, deletion, and retrieval of contact objects represented as Java classes and XML. It can be run from the command line using JAR files or in Eclipse. The system has server code in one JAR, client code in another, and common code in both. It will be demonstrated how to use the service through the command line or Ant build scripts.
This document discusses the components that make up a professional persona, which is an online presence that potential employers can view. It identifies the key elements as: 1) a professional portfolio website, 2) an online engineering blog, 3) participation in open source projects, 4) involvement in professional social networks, and 5) engagement with technical societies and activities. The goal is to help students establish an attractive online presence that showcases their skills and accomplishments to future employers.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Introduction to WattDepot
1. WattDepot: A software ecosystem for energy data collection, storage, analysis, and visualization Robert S. Brewer, Philip M. Johnson Collaborative Software Development Laboratory Information and Computer Sciences Dept University of Hawaii at Manoa http://csdl.ics.hawaii.edu/