This document proposes design patterns for robust asynchronous notification using REST. It introduces the Monitor pattern which creates a managed observe relationship between resources using a defined link relation and parameters. It also introduces Events, which are represented as REST resources within an observable collection, to handle state changes that require more than simple notification, such as alerts that have a lifecycle of being generated, acknowledged, and cleared. Examples of using Monitor links to update resources based on changes in other resources, subscribe to MQTT topics, and publish updates to topics are also provided.
Cloud Native Streaming and Event-Driven Microservicesmarius_bogoevici
Talk delivered at Spring IO in Barcelona (May 20, 2016)
The talk introduces Spring Cloud Stream as a framework for developing event-driven microservices, as well as Spring Cloud Data Flow as an orchestration and deployment layer.
Accumulo Summit 2016: Timely - Scalable Secure Time Series DatabaseAccumulo Summit
Some of the most popular metric visualization tools work really well for smaller deployments, but have issues dealing with large amounts of data. Timely started after an integration of OpenTSDB with Accumulo failed to meet our needs. Timely can be used to gain visibility into the performance of your networks and hardware, your Hadoop cluster and Accumulo database, and your application. In this talk we will cover the current implementation and APIs, security model, deployment models, and our roadmap.
– Speakers –
Dave Marion
Principal Software Engineer, Vistronix
Dave Marion is a Principal Software Engineer for Vistronix. He has been working on big data projects since 2010 and prior to that worked as a database engineer on large relational database projects. He is a veteran of the U.S. Navy and has a BS in Computer Information Systems from University of Maryland University College. He is a PMC member of Apache Accumulo and contributes to several other Apache projects.
Jim Klucar
Principal Software Engineer, Praxis Engineering
Jim Klucar is a Principal Software Engineer for Praxis Engineering. He has a BS in Electrical Engineering from Pennsylvania State University and a MS in Applied and Computational Mathematics from Johns Hopkins University. After a dozen years of developing high performance radar processing techniques, in 2010 he switched to developing Hadoop-based data warehouse and analysis systems. He has contributed to many open source projects including Apache Accumulo, Mesos and Myriad.
Drew Farris
Senior Associate, Booz Allen Hamilton
Drew Farris is a technology consultant at Booz Allen Hamilton who specializes in distributed computing, information retrieval and machine learning. He's a voting member of the Apache Software Foundation, on the Accumulo PMC and works with the Apache Incubator as a mentor for several projects.
— More Information —
For more information see http://www.accumulosummit.com/
As more and more developers move to distributed architectures such as micro services, distributed actor systems, and so forth it becomes increasingly complex to understand, debug, and diagnose.
In this talk we're going to introduce the emerging OpenTracing standard and talk about how you can instrument your applications to help visualize every operation, even across process and service boundaries. We'll also introduce Zipkin, one of the most popular implementations of the OpenTracing standard.
The rapidly increasing amount of semantic network data today provides a wealth of insight into how entities interact and relate with one another. In order to tap into this valuable source of information, organizations require a secure and scalable repository in which to store and explore these interactions and relationships. In this talk we will discuss Apache Rya, an Accumulo-based graph store capable of storing billions of Resource Description Framework (RDF) triples and providing a rich SPARQL query endpoint for exploring complex subgraph relationships. We will talk about two indexing strategies that Rya uses to address some of the challenges associated with storing and querying large graph datasets. In particular, we will discuss how our SPARQL (SPARQL Protocol and RDF Query Language) query caching framework allows users to greatly improve query performance by storing and incrementally maintaining query results using Apache Fluo. We will also discuss our Accumulo-based entity centric index. Inspired by Facebook’s horizontally partitioned graph index, Unicorn , Apache Rya’s entity centric index is a novel way of storing graphs in Accumulo that draws on document partitioned indexing techniques. This graph partitioning and indexing strategy limits network traffic and enables distributed join processing by utilizing a variation of Accumulo’s IntersectingIterator framework to perform joins server side.
The work presented herein was funded by the Office of Naval Research, under contract # N00014-12-C-0365, supporting this effort.
– Speaker –
Dr. Caleb Meier
Software Engineer, Parsons
Caleb Meier has been a Software Engineer at Parsons Government Services for the last two years. Since joining Parsons, he has investigated and implemented a number of features to improve the query performance of Apache Rya. Caleb earned his Ph.D. in Mathematics from the University of California, San Diego and a B.A. in Mathematics from Yale University. In his spare time he enjoys climbing, biking, playing soccer and spending time with his delightful wife Leslie.
— More Information —
For more information see http://www.accumulosummit.com/
SingleStore & Kafka: Better Together to Power Modern Real-Time Data Architect...HostedbyConfluent
To remain competitive, organizations need to democratize access to fast analytics, not only to gain real-time insights on their business but also to power smart apps that need to react in the moment. In this session, you will learn how Kafka and SingleStore enable modern, yet simple data architecture to analyze both fast paced incoming data as well as large historical datasets. In particular, you will understand why SingleStore is well suited process data streams coming from Kafka.
Stream and Batch Processing in the Cloud with Data Microservicesmarius_bogoevici
The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for creating microservices for stream and batch processing. They make it easy to develop data-processing Spring Boot applications that build upon the capabilities of Spring Integration and Spring Batch, respectively. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone microservices. Streams and tasks are defined using a DSL abstraction and can be managed via shell and a web UI. Furthermore, a pluggable runtime SPI allows Spring Cloud Data Flow to coordinate these applications across a variety of distributed runtime platforms such as Apache YARN, Cloud Foundry, or Apache Mesos. This session will provide an overview of these projects, including how they evolved out of Spring XD. Both streaming and batch-oriented applications will be deployed in live demos on different platforms ranging from local cluster to a remote Cloud to show the simplicity of the developer experience.
Apache Flink® Meets Apache Mesos® and DC/OSTill Rohrmann
Apache Mesos allows operators to run distributed applications across an entire datacenter and is attracting ever increasing interest. As much as distributed applications see increased use enabled by Mesos, Mesos also sees increasing use due to a growing ecosystem of well integrated applications. One of the latest additions to the Mesos family is Apache Flink. Flink is one of the most popular open source systems for real-time high scale data processing and allows users to deal with low-latency streaming analytical workloads on Mesos.
In this talk we explain the challenges solved while integrating Flink with Mesos, including how Flink’s distributed architecture can be modeled as a Mesos framework, and how Flink was integrated with Fenzo. Next, we describe how Flink was packaged to easily run on DC/OS.
Michael Koster from ARM presented during the Open Mobile Alliance LwM2M Workshop event on January 28, 2015. This is a copy of the slides presented for his session titled, "IPSO Alliance Objects".
eBay Pulsar: Real-time analytics platformKyoungMo Yang
http://blog.embian.com/74
Pulsar – an open-source, real-time analytics platform and stream processing framework. Pulsar can be used to collect and process user and business events in real time, providing key insights and enabling systems to react to user activities within seconds. In addition to real-time sessionization and multi-dimensional metrics aggregation over time windows, Pulsar uses a SQL-like event processing language to offer custom stream creation through data enrichment, mutation, and filtering. Pulsar scales to a million events per second with high availability. It can be easily integrated with metrics stores like Cassandra and Druid.
Feed Your SIEM Smart with Kafka Connect (Vitalii Rudenskyi, McKesson Corp) Ka...HostedbyConfluent
SIEM platforms are essential to the new cybersecurity paradigm and data collection layer is a very important piece of it.
When you deliver a new platform, you can easily get lost in a variety of different vendors and solutions, too many challenges are facing. What if I change vendors, will I keep my data? How to feed multiple tools with the same data? How to collect data from custom apps and services? How to pay less for an expensive platform? How to keep data without a huge cost?
Join us if you are looking for the answers. In this session, you will learn how we replaced the vendor-provided data collection layer with kafka connect and the lessons we learnt. After the talk you will know:
- architecture and real-life examples of the flexible and highly available data collection platform
- custom connectors that do most of the work for us and how to extend the connectors to consume new data, we made them open sourced
- easy way to receive data from thousands of servers and many cloud services
- how to archive data at low cost
You will leave armed with a set of free tools and recipes to build a truly vendor-agnostic data collection platform. It will allow you to take you SIEM costs under control. You will feed your analytics tools with what they need and archive the rest at low cost. You will feed your SIEM smart!
Designing an API for the Internet of ThingsKevin Swiber
In the near future, everything will be connected: cities, enterprises, human beings, and more. This reality is just over the horizon, and it brings one of the largest challenges in building distributed systems. Today, developers often look to RESTful Web APIs to solve these problems. Are current trends in API design really prepared to handle the demands of the future? What’s missing from the equation? Learn new patterns for modeling Web APIs using state machines, hypermedia, and reactive streams to meet tomorrow’s challenges and make a solid attempt at standing the test of time.
Cloud Native Streaming and Event-Driven Microservicesmarius_bogoevici
Talk delivered at Spring IO in Barcelona (May 20, 2016)
The talk introduces Spring Cloud Stream as a framework for developing event-driven microservices, as well as Spring Cloud Data Flow as an orchestration and deployment layer.
Accumulo Summit 2016: Timely - Scalable Secure Time Series DatabaseAccumulo Summit
Some of the most popular metric visualization tools work really well for smaller deployments, but have issues dealing with large amounts of data. Timely started after an integration of OpenTSDB with Accumulo failed to meet our needs. Timely can be used to gain visibility into the performance of your networks and hardware, your Hadoop cluster and Accumulo database, and your application. In this talk we will cover the current implementation and APIs, security model, deployment models, and our roadmap.
– Speakers –
Dave Marion
Principal Software Engineer, Vistronix
Dave Marion is a Principal Software Engineer for Vistronix. He has been working on big data projects since 2010 and prior to that worked as a database engineer on large relational database projects. He is a veteran of the U.S. Navy and has a BS in Computer Information Systems from University of Maryland University College. He is a PMC member of Apache Accumulo and contributes to several other Apache projects.
Jim Klucar
Principal Software Engineer, Praxis Engineering
Jim Klucar is a Principal Software Engineer for Praxis Engineering. He has a BS in Electrical Engineering from Pennsylvania State University and a MS in Applied and Computational Mathematics from Johns Hopkins University. After a dozen years of developing high performance radar processing techniques, in 2010 he switched to developing Hadoop-based data warehouse and analysis systems. He has contributed to many open source projects including Apache Accumulo, Mesos and Myriad.
Drew Farris
Senior Associate, Booz Allen Hamilton
Drew Farris is a technology consultant at Booz Allen Hamilton who specializes in distributed computing, information retrieval and machine learning. He's a voting member of the Apache Software Foundation, on the Accumulo PMC and works with the Apache Incubator as a mentor for several projects.
— More Information —
For more information see http://www.accumulosummit.com/
As more and more developers move to distributed architectures such as micro services, distributed actor systems, and so forth it becomes increasingly complex to understand, debug, and diagnose.
In this talk we're going to introduce the emerging OpenTracing standard and talk about how you can instrument your applications to help visualize every operation, even across process and service boundaries. We'll also introduce Zipkin, one of the most popular implementations of the OpenTracing standard.
The rapidly increasing amount of semantic network data today provides a wealth of insight into how entities interact and relate with one another. In order to tap into this valuable source of information, organizations require a secure and scalable repository in which to store and explore these interactions and relationships. In this talk we will discuss Apache Rya, an Accumulo-based graph store capable of storing billions of Resource Description Framework (RDF) triples and providing a rich SPARQL query endpoint for exploring complex subgraph relationships. We will talk about two indexing strategies that Rya uses to address some of the challenges associated with storing and querying large graph datasets. In particular, we will discuss how our SPARQL (SPARQL Protocol and RDF Query Language) query caching framework allows users to greatly improve query performance by storing and incrementally maintaining query results using Apache Fluo. We will also discuss our Accumulo-based entity centric index. Inspired by Facebook’s horizontally partitioned graph index, Unicorn , Apache Rya’s entity centric index is a novel way of storing graphs in Accumulo that draws on document partitioned indexing techniques. This graph partitioning and indexing strategy limits network traffic and enables distributed join processing by utilizing a variation of Accumulo’s IntersectingIterator framework to perform joins server side.
The work presented herein was funded by the Office of Naval Research, under contract # N00014-12-C-0365, supporting this effort.
– Speaker –
Dr. Caleb Meier
Software Engineer, Parsons
Caleb Meier has been a Software Engineer at Parsons Government Services for the last two years. Since joining Parsons, he has investigated and implemented a number of features to improve the query performance of Apache Rya. Caleb earned his Ph.D. in Mathematics from the University of California, San Diego and a B.A. in Mathematics from Yale University. In his spare time he enjoys climbing, biking, playing soccer and spending time with his delightful wife Leslie.
— More Information —
For more information see http://www.accumulosummit.com/
SingleStore & Kafka: Better Together to Power Modern Real-Time Data Architect...HostedbyConfluent
To remain competitive, organizations need to democratize access to fast analytics, not only to gain real-time insights on their business but also to power smart apps that need to react in the moment. In this session, you will learn how Kafka and SingleStore enable modern, yet simple data architecture to analyze both fast paced incoming data as well as large historical datasets. In particular, you will understand why SingleStore is well suited process data streams coming from Kafka.
Stream and Batch Processing in the Cloud with Data Microservicesmarius_bogoevici
The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for creating microservices for stream and batch processing. They make it easy to develop data-processing Spring Boot applications that build upon the capabilities of Spring Integration and Spring Batch, respectively. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone microservices. Streams and tasks are defined using a DSL abstraction and can be managed via shell and a web UI. Furthermore, a pluggable runtime SPI allows Spring Cloud Data Flow to coordinate these applications across a variety of distributed runtime platforms such as Apache YARN, Cloud Foundry, or Apache Mesos. This session will provide an overview of these projects, including how they evolved out of Spring XD. Both streaming and batch-oriented applications will be deployed in live demos on different platforms ranging from local cluster to a remote Cloud to show the simplicity of the developer experience.
Apache Flink® Meets Apache Mesos® and DC/OSTill Rohrmann
Apache Mesos allows operators to run distributed applications across an entire datacenter and is attracting ever increasing interest. As much as distributed applications see increased use enabled by Mesos, Mesos also sees increasing use due to a growing ecosystem of well integrated applications. One of the latest additions to the Mesos family is Apache Flink. Flink is one of the most popular open source systems for real-time high scale data processing and allows users to deal with low-latency streaming analytical workloads on Mesos.
In this talk we explain the challenges solved while integrating Flink with Mesos, including how Flink’s distributed architecture can be modeled as a Mesos framework, and how Flink was integrated with Fenzo. Next, we describe how Flink was packaged to easily run on DC/OS.
Michael Koster from ARM presented during the Open Mobile Alliance LwM2M Workshop event on January 28, 2015. This is a copy of the slides presented for his session titled, "IPSO Alliance Objects".
eBay Pulsar: Real-time analytics platformKyoungMo Yang
http://blog.embian.com/74
Pulsar – an open-source, real-time analytics platform and stream processing framework. Pulsar can be used to collect and process user and business events in real time, providing key insights and enabling systems to react to user activities within seconds. In addition to real-time sessionization and multi-dimensional metrics aggregation over time windows, Pulsar uses a SQL-like event processing language to offer custom stream creation through data enrichment, mutation, and filtering. Pulsar scales to a million events per second with high availability. It can be easily integrated with metrics stores like Cassandra and Druid.
Feed Your SIEM Smart with Kafka Connect (Vitalii Rudenskyi, McKesson Corp) Ka...HostedbyConfluent
SIEM platforms are essential to the new cybersecurity paradigm and data collection layer is a very important piece of it.
When you deliver a new platform, you can easily get lost in a variety of different vendors and solutions, too many challenges are facing. What if I change vendors, will I keep my data? How to feed multiple tools with the same data? How to collect data from custom apps and services? How to pay less for an expensive platform? How to keep data without a huge cost?
Join us if you are looking for the answers. In this session, you will learn how we replaced the vendor-provided data collection layer with kafka connect and the lessons we learnt. After the talk you will know:
- architecture and real-life examples of the flexible and highly available data collection platform
- custom connectors that do most of the work for us and how to extend the connectors to consume new data, we made them open sourced
- easy way to receive data from thousands of servers and many cloud services
- how to archive data at low cost
You will leave armed with a set of free tools and recipes to build a truly vendor-agnostic data collection platform. It will allow you to take you SIEM costs under control. You will feed your analytics tools with what they need and archive the rest at low cost. You will feed your SIEM smart!
Designing an API for the Internet of ThingsKevin Swiber
In the near future, everything will be connected: cities, enterprises, human beings, and more. This reality is just over the horizon, and it brings one of the largest challenges in building distributed systems. Today, developers often look to RESTful Web APIs to solve these problems. Are current trends in API design really prepared to handle the demands of the future? What’s missing from the equation? Learn new patterns for modeling Web APIs using state machines, hypermedia, and reactive streams to meet tomorrow’s challenges and make a solid attempt at standing the test of time.
Monitoring and Alerting with InfluxDB 2.0 | Deniz Kusefoglu & Nate Isley | In...InfluxData
In this talk we’ll go over the new UI and API in InfluxDB 2.0 to create complex monitoring, alerting and notification rules. We’ll start with the easy on-ramp via the user interface and then dig into how the setup and management of monitoring and alerting can be driven through code and the API.
OMA hosted a Workshop in Edinburgh on Friday, May 06, where field engineer Hannes Tschofenig, Senior Principal Engineer at ARM, showed attendees how to use the LwM2M protocol on FRMDM-K64F boards, designed by NXP in collaboration with mbed, to connect to the mbed cloud service (formally known mbed Connector) and to the Leshan server.
This presentation is a part of the Workshop Agenda:
9:15-9:30 Opening Remarks and Brief Overview of LWM2M
9:30-10:30 Demo of the Arduino Yun by HOP Ubiquitous
10:30-10:45 Demo of the LwM2M Editor Tool and DevKit
11:00-15:00 NXP FRDM-K64F Platform with ARM mbed demo
See more here: https://github.com/OpenMobileAlliance/OMA_LwM2M_for_Developers/wiki/2016-May-IoT-Platform-Training-%28Workshop%29
Pre-conference seminar from the March 2010, Jasig (www.jasig.org) conference in San Diego, CA.
Additional presentation materials are available at the following page - http://www.ja-sig.org/wiki/display/JCON/JSR+286+Seminar+March+2010
Building Continuously Curated Ingestion PipelinesArvind Prabhakar
Data ingestion is a critical piece of infrastructure for any Big Data project. Learn about the key challenges in building Ingestion infrastructure and how enterprises are solving them using low level frameworks like Apache Flume, Kafka, and high level systems such as StreamSets.
Concepts and examples of HATEOAS principles applied to M2M interface design, based on the proposed interaction model of the W3C Web of Things Interest Group.
Managing security and ensuring cloud compliance for large scale applications with is complex and can be difficult to troubleshoot.
AWS Config Rules is a new set of cloud governance capabilities that allow IT Administrators to define guidelines for provisioning and configuring AWS resources and then continuously monitor compliance with those guidelines.
In this webinar, we will explain the benefits of AWS Config Rules, how it compares with other AWS security services, and walk through enabling AWS Config Rules on your account. We will explain the differences between pre-defined, AWS managed rules and guide you through the process of creating your own custom rule using AWS Lambda.
Learning Objectives:
Understand the basics of AWS Config Rules
Learn how to establish guidelines and monitor compliance using AWS Config Rules
Who Should Attend:
IT and System Administrators, Security Experts, Developers, Operators
(SEC314) AWS for the Enterprise: Implementing Policy, Governance & SecurityAmazon Web Services
"AWS Config enables you to discover what resources are used on AWS, understand how resources are configured and gives you unprecedented visibility into changes to configurations over time – all without disrupting end user productivity. With Config Rules, you can continuously evaluate whether changes to resources are compliant with policies. You can set up predefined rules, provided and managed by AWS, or author your own rules using Amazon Lambda, and these rules are evaluated whenever relevant resources are modified. You can use this visibility and control to assess and improve your security and compliance posture.
We will dive deep into other new capabilities in AWS Config and cover how you can integrate with IT service management, configuration management, and other tools. In this session, we will look at:
AWS Config Rules – how to create and use rules that govern configuration changes recorded by AWS Config.
New capabilities in AWS Config – Usability changes, better controls and other enhancements
Mechanisms to aggregate deep visibility across AWS to gain insights into your overall security and operational posture.
This session is best suited for administrators, security-ops and developers with a focus on audit, security and compliance."
Container monitoring for resource and application metrics with cAdvisor. Shipping monitoring information with the container so it is monitored irrespective of the host it runs on.
Intro to monitoring in distributed systems, cAdvisor, heapster, kubedash, kubernetes
A Design/approach to monitor Docker and Dockerized Applications.
Discussions on present day challenges in Monitoring and especially the containers.
Presented at Openstack Summit at Tokyo 2015
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
1. REST Design Patterns for Robust
Asynchronous Notification
Using simple observe/notify to build a
robust and reusable design pattern for
asynchronous notifications
Michael J Koster
2. Problems
• Observe is not a well managed relationship
– The list of observers is hidden server state
– Client can't be certain if it is still in the list
– Conditional Observe is difficult to manage
• Events have life cycle beyond one notification
– Alerts are generated, acknowledged, and
eventually cleared
– Use cases for asynchronous Event delivery, polling,
and batch Event processing
3. Design Patterns
• Monitor
– Create a managed Observe relationship using a
REST resource with a defined link relation and
parameter set
• Events
– REST resource to represent an Event instance
– Maintain Event instances in an observable
collection
4. Monitor
• Use the IANA registered "monitor" link relation
– Description: Refers to a resource that can be used to monitor
changes in an HTTP resource (RFC5989)
– Similar to "boundto" (dynlink) but defines a unidirectional state
update from context to target.
• A Monitor may use Observe on the server to obtain state
changes of the context resource
• A Monitor may implement conditional notification using
filter parameters (dynlink) as well as defining transfer
methods and formats
• A Monitor may support multiple source and target
protocols based on URI scheme (mqtt, coap, http)
• Monitor parameters may be encoded as link attributes or
as properties of a monitor configuration resource
6. Monitor Patterns
Monitored
Resource A
Monitor
Monitor
Resource B
Observe
Notify
Update
Monitored
Resource A
Monitor
Monitor
Resource BNotify
Monitored
Resource A
Monitor
Monitor
Resource B
Observe
Notify
Update
Reply
Reply
Update
Reply
Observe
<>;anchor=A;rel=monitor<B>;rel=monitor
A Pushes State To B B Observes State From A
Remote
Update
Remote
Observe
7. Monitor Link Examples
Update a monitor resource when context is updated
"rel": "monitor",
"href": "monitor"
}
Update the context when a remote resource is
updated
{
"anchor": "coap://0m2m.net:5683/example/test",
"rel": "monitor",
"href": ""
}
8. Monitor Link Examples
Subscribe to an MQTT topic and update a resource
{
"anchor": "mqtt://0m2m.net/example/topic",
"rel": "monitor",
"href": "updated-on-mqtt-notify"
}
Publish updates on a resource to an MQTT topic
{
"anchor": "publish-updates-to-mqtt",
"rel": "monitor",
"href": "mqtt://0m2m.net/example/topic"
}
9. Events
• State changes that require more than simple
notification may be handled as Events
• Events may have a life cycle, like log records,
alerts, etc.
• A monitor may add state change notifications to a
collection of Event instances using CREATE
• The Event collection is Observable and transmits
newly created Event instances as notifications
10. Monitor Link to Event Collection
Create new event instances when events occur
{
"anchor": "/example/resource/event-emitter",
"rel": "monitor",
"href": "events",
"target-method": "create"
}
Push event notifications to a MQTT topic
{
"anchor": "events",
"rel": "monitor",
"href": "mqtt://0m2m.net/example/topic"
{