An algorithm that makes it possible to monitor full-mesh clusters of up to 1000 nodes without having to apply fast timer supervision between all nodes. Failure discovery times are default between one and two seconds, but can be made shorter.
We describe the features of Communication Groups i TIPC, i.e., the ability to instantiate multiple lightweight brokerless messages buses per user as part of the TIPC messaging service.
This presentation shows slides to explain about the String functions in MySQL. It is suitable for students in IT studying DBMS, MySQL and Subject 065 Informatics Practice according to CBSE syllabus
Disaster Recovery with MySQL InnoDB ClusterSet - What is it and how do I use it?Miguel Araújo
MySQL InnoDB ClusterSet brings multi-datacenter capabilities to our solutions and make it very easy to setup a disaster recovery architecture. Think multiple MySQL InnoDB Clusters into one single database architecture, fully managed from MySQL Shell and with full MySQL Router integration to make it easy to access the entire architecture.
This presentation covers:
- The various features of InnoDB Clusterset
- How to setup MySQL InnoDB ClusterSet
- Ways to migrate from an existing MySQL InnoDB Cluster into MySQL InnoDB ClusterSet
- How to deal with various failures
- The various features of router integration which makes connection to the database architecture easy.
We describe the features of Communication Groups i TIPC, i.e., the ability to instantiate multiple lightweight brokerless messages buses per user as part of the TIPC messaging service.
This presentation shows slides to explain about the String functions in MySQL. It is suitable for students in IT studying DBMS, MySQL and Subject 065 Informatics Practice according to CBSE syllabus
Disaster Recovery with MySQL InnoDB ClusterSet - What is it and how do I use it?Miguel Araújo
MySQL InnoDB ClusterSet brings multi-datacenter capabilities to our solutions and make it very easy to setup a disaster recovery architecture. Think multiple MySQL InnoDB Clusters into one single database architecture, fully managed from MySQL Shell and with full MySQL Router integration to make it easy to access the entire architecture.
This presentation covers:
- The various features of InnoDB Clusterset
- How to setup MySQL InnoDB ClusterSet
- Ways to migrate from an existing MySQL InnoDB Cluster into MySQL InnoDB ClusterSet
- How to deal with various failures
- The various features of router integration which makes connection to the database architecture easy.
The Zen of High Performance Messaging with NATS NATS
The Zen of High Performance Messaging with NATS
Waldemar Quevedo Salinas, Senior Software Engineer
NATS is an open source, high performant messaging system with a design oriented towards both being as simple and reliable as possible without at the same time trading off scalability. Originally written in Ruby, and then rewritten in Go, a NATS server can nowadays push over 11M messages per second.
In this talk, we will cover how following simplicity as the main design constraint as well as focusing on a limited built-in feature set, resulted in a system which is easy to operate and reason about, making up for an attractive choice for when building many types of distributed systems where low latency and high availability are very important.
You can learn more about NATS at http://www.nats.io
How to work with Python 3, how to create virtual environments, to install libraries, to create code skeletons and more.
Maybe an IDE for Python is right for you. If you are familiar with IntelliJ, then PyCharm is your option. There are other options such as Visual Studio Code, PyDev, Spyder, so you can choose the one you like the most.
And now you have no excuse to start with your first Python project.
2021년 11월 18일(목)
- 14:00 ~ 15:00 MySQL Operator for Kubernetes
: Kubernetes 환경에서 MySQL에 대한 더 쉬운 운영
- 15:00 ~ 15:15 MySQL HA and Auto-Failover
: MySQL replication과 오픈소스 MHA를 통한 고가용성 확보
A 30-minute Introduction to NETCONF and YANGTail-f Systems
This is a live document that I use to present the state of NETCONF and YANG in various contexts. I use it to inform and get conversation going, not to provide complete and final documentation of NETCONF and YANG. I update this document almost monthly, mostly with regards to industry support and working group timelines, check back!
IP es la sigla de Internet Protocol o, en nuestro idioma, Protocolo de Internet. Se trata de un estándar que se emplea para el envío y recepción de información mediante una red que reúne paquetes conmutados.
Rain Technology is a disk subsystem that provides distributed data storage and protection in network architecture by integrating inexpensive hardware and management software.
This research is focused on
- high performance,
- fault tolerance ,
- portable clustering technology.
It consist of heterogeneous cluster of computing nodes connected via multiple interfaces to networks configured in fault tolerant topologies.
The Zen of High Performance Messaging with NATS NATS
The Zen of High Performance Messaging with NATS
Waldemar Quevedo Salinas, Senior Software Engineer
NATS is an open source, high performant messaging system with a design oriented towards both being as simple and reliable as possible without at the same time trading off scalability. Originally written in Ruby, and then rewritten in Go, a NATS server can nowadays push over 11M messages per second.
In this talk, we will cover how following simplicity as the main design constraint as well as focusing on a limited built-in feature set, resulted in a system which is easy to operate and reason about, making up for an attractive choice for when building many types of distributed systems where low latency and high availability are very important.
You can learn more about NATS at http://www.nats.io
How to work with Python 3, how to create virtual environments, to install libraries, to create code skeletons and more.
Maybe an IDE for Python is right for you. If you are familiar with IntelliJ, then PyCharm is your option. There are other options such as Visual Studio Code, PyDev, Spyder, so you can choose the one you like the most.
And now you have no excuse to start with your first Python project.
2021년 11월 18일(목)
- 14:00 ~ 15:00 MySQL Operator for Kubernetes
: Kubernetes 환경에서 MySQL에 대한 더 쉬운 운영
- 15:00 ~ 15:15 MySQL HA and Auto-Failover
: MySQL replication과 오픈소스 MHA를 통한 고가용성 확보
A 30-minute Introduction to NETCONF and YANGTail-f Systems
This is a live document that I use to present the state of NETCONF and YANG in various contexts. I use it to inform and get conversation going, not to provide complete and final documentation of NETCONF and YANG. I update this document almost monthly, mostly with regards to industry support and working group timelines, check back!
IP es la sigla de Internet Protocol o, en nuestro idioma, Protocolo de Internet. Se trata de un estándar que se emplea para el envío y recepción de información mediante una red que reúne paquetes conmutados.
Rain Technology is a disk subsystem that provides distributed data storage and protection in network architecture by integrating inexpensive hardware and management software.
This research is focused on
- high performance,
- fault tolerance ,
- portable clustering technology.
It consist of heterogeneous cluster of computing nodes connected via multiple interfaces to networks configured in fault tolerant topologies.
Frame counting: achieve accurate and real-time link estimation for low power ...Daibo Liu
Link estimation is a fundamental component of forward- ing protocols in wireless sensor networks. In low power forwarding, however, the asynchronous nature of widely adopted duty-cycled radio control brings new challenges to achieve accurate and real-time estimation. First, the repeat- edly transmitted frames (called wake-up frame) increase the complexity of accurate statistic, especially with bursty chan- nel contention and coexistent interference. Second, frequent update of every link status exhausts the limited energy sup- ply due to long duration of beacon broadcast.
Wireless Sensor Network (WSN) consists of sensor nodes which interact with each other through physical parameters like sunlight, wind, vibration, humidity etc. Routing protocols provide an optimal data transmission route from sensor nodes to sink node to save energy of nodes. From Base Station (BS) Sensor node sends and receives data to or from wireless stations. Clustering mechanism is one of the popular routing mechanisms used in WSN for optimizing the problem in sensor nodes. There are two types of clustering schemes known as homogeneous schemes and heterogeneous schemes. In Homogeneous scheme initial energy is same for each node but in heterogeneous scheme initial energy is different for each node and also used to determine the efficiency of sensor networks. Enhanced Modified LEACH (EMODLEACH) is a reactive protocol which is implemented for homogeneous network model. We have implemented the concept of Efficient Cluster head Replacement scheme and Dual transmitting power level scheme of MODLEACH along with the concept of Efficient Intra Cluster transmission Scheme of TEEN in LEACH. We analyze the PEGASIS protocol and modified the exiting protocol called improved energy balanced routing protocol (IEBRP).This IEBRP is based on cluster formation, cluster routing and other aspects of LEACH protocol.
Node Legitimacy Based False Data Filtering Scheme in Wireless Sensor NetworksEswar Publications
False data injection attack is a serious threat to wireless sensor network. In this paper, a node legitimacy based false data filtering scheme (NLFS) is proposed. NLFS verifies not only message authentication codes (MACs) contains in reports, but also the legitimacy of nodes that endorse the report. The verification guarantees that compromised nodes from different geographical areas cannot collude to inject false data, which makes NLFS has a high tolerance of compromised nodes. In addition, NLFA only utilizes the relationships between node IDs to verify the legitimacy of nodes without other software or hardware overhead. Simulation results show that NLFS can filter 95% false reports within three hops and is resilience to an increasing number of compromised nodes.
By Nir Solomon, Yoav Francis and Liahav Eitan
Abstract:
One of greatest applicative benefits of SDN is enhancement of network security by making the network react to threats in real-time using data from all the switches in the network. For example, the OpenFlow Controller (OFC) can identify a DDoS attack on the network and divert or block traffic in an adaptive manner.
Unfortunately, OpenFlow also introduces a new threat to network security – attacks on the OFC itself, the “soft-belly” in regards to network security in SDN. The controller, by being responsible for multiple switches, is a `high-valued` target (a single point-of-failure), and we aim to understand better its vulnerability to DDoS attacks.
DDoS on the OFC can affect the entire network in several ways, depending on the OpenFlow Applications in the network and the level of dependency of the OF Switches on the OFC:
1. The entire network might be slowed down and suffer from packet-loss.
2. Some packets might be handled normally while others are mishandled by switches in the network, depending on the OpenFlow Applications that apply to these packets and whether they require communication with the OFC.
3. The entire network might stop functioning.
All of the above share a unique property that does not apply in ordinary DDoS attacks: even if only one or two switches are being flooded, the entire network can be affected.
Deep learning (also known as deep structured learning or hierarchical learning) is the application of artificial neural networks (ANNs) to learning tasks that contain more than one hidden layer. Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, partially supervised or unsupervised.
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.
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.
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!
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.
# 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
2. When a cluster node becomes unresponsive due to
crash, reboot or lost connectivity we want to:
Have all affected connections on the remaining nodes aborted
Inform other users who have subscribed for cluster connectivity
events
Within a well-defined short interval from the occurrence of the
event
PURPOSE
3. 1) Crank up the connection keepalive timer
Network and CPU load quickly gets out of hand when there are thousands of connections
Does not provide a neighbor monitoring service that can be used by others
2) Dedicated full-mesh framework of per-node daemons with
frequently probed connections
Even here monitoring traffic becomes overwhelming when cluster size > 100 nodes
Does not automatically abort any other connections
COMMON SOLUTIONS
4. Full-mesh framework of frequently probed node-to-node “links”
At kernel level
Provides generic neighbor monitoring service
Each link endpoint keeps track of all connections to peer node
Issues “ABORT” message to its local socket endpoints when connectivity to peer node is lost
Even this solution causes excessive traffic beyond ~100 nodes
CPU load grows with ~N
Network load grows with ~N*(N-1)
TIPC SOLUTION: HIERARCHY + FULL MESH
5. Each node monitors its two nearest neighbors by heatbeats
Low monitoring network overhead, - increases by ~2*N
Node loss can also be detected through loss of an iterating token
Both solutions offered by Corosync
Hard to handle accidental network partitioning
How do we detect loss of nodes not adjacent to fracture point in opposite partition?
Consensus on ring topology required
OTHER SOLUTION: RING
6. Each node periodically transmits its known network view to a
randomly selected set of known neighbors
Each node knows and monitors only a subset of all nodes
Scales extremely well
Used by BitTorrent client Tribler
Non-deterministic delay until all cluster nodes are informed
Potentially very long because of the periodic and random nature of event propagation
Unpredictable number of generations to reach last node
Extra network overhead because of duplicate information spreading
OTHER SOLUTION: GOSSIP PROTOCOL
7. THE CHALLENGE
Finding an algorithm which:
Has the scalability of Gossip, but with
A deterministic set of peer nodes to monitor and update from each node
A predictable number of propagation generations before all nodes are reached
Predictable, well-defined and short event propagation delay
Has the light-weight properties of ring monitoring, but
Is able to handle accidental network partitioning
Has the full-mesh link connectivity of TIPC, but
Does not require full-mesh active monitoring
8. THE ANSWER:
OVERLAPPING RING MONITORING
Sort all cluster nodes into a circular list
All nodes use same algorithm and criteria
Select next [√N] - 1 downstream nodes in the
list as “local domain” to be actively monitored
CPU load increases by ~√N
Distribute a record describing the local domain
to all other nodes in the cluster
Select and monitor a set of “head” nodes outside
the local domain so that no node is more than
two active monitoring hops away
There will be [√N] - 1 such nodes
Guarantees failure discovery even at
accidental network partitioning
Each node now monitors 2 x (√N – 1) neighbors
• 6 neighbors in a 16 node cluster
• 56 neighbors in an 800 node cluster
All nodes use this algorithm
In total 2 x (√N - 1) x N actively monitored links
• 96 links in a 16 node cluster
• 44,800 links in an 800 node cluster
+ x N =
(√N – 1) Local Domain
Destinations
(√N – 1) Remote
“Head” Destinations
2 x N x (√N – 1) Actively
Monitored Links
9. LOSS OF LOCAL DOMAIN NODE
State change of local
domain node detected
1
A domain record is sent to all other nodes in cluster when any state change
(discovery, loss, re-establish) is detected in a local domain node
The record keeps a generation id, so the receiver can know if it really
contains a change before it starts parsing and applying it
It is piggy-backed on regular unicast link state/probe messages, which must
always be sent out after a domain state change
May be sent several times until the receiver acknowledges reception of the
current generation
Because probing is driven by a background timer, it may take up to 375 ms
(configurable) until all nodes are updated
1
Domain record distributed to
all other nodes in cluster
10. LOSS OF ACTIVELY MONITORED HEAD NODE
Node failure detected Brief confirmation probing of
lost node’s domain members
After recalculation
The two-hop criteria plus confirmation probing eliminates the
network partitioning problem
If we really have a partition worst-case failure detection time will be
Tfailmax = 2 x active failure detection time
Active failure detection time is configurable
50 ms – 10 s
Default 1.5 s in TIPC/Linux 4.7
Actively monitored nodes outside local domain
11. LOSS OF INDIRECTLY MONITORED NODE
Actively monitoring neighbors
discover failure
Actively monitoring neighbors
report failure
Max one event propagation hop
Near uniform failure detection time across the whole cluster
Tfailmax = active failure detection time + (1 x event propagation hop time)
Actively monitored nodes outside local domain
12. DIFFERING NETWORK VIEWS
1
A node has discovered a peer that
nobody else is monitoring
Actively monitor that node
Add it to its circular list according to algorithm (as local domain
member or “head”)
Handle its domain members according to algorithm (“applied”
or “non-applied”)
Continue calculating the monitoring view from the next peer
Actively monitored nodes outside local domain
1
A node is unable to discover a peer
that others are monitoring
Don’t add the peer to the circular list
Ignore it during the calculation of the monitoring view
Keep it as “non-applied” in the copies of received domain records
Apply it to the monitoring view if it is discovered at a later moment
Transiently, this happens all the time, and must be considered a normal situation