Cloud load balancing distributes workloads and network traffic across computing resources in a cloud environment to improve performance and availability. It routes incoming traffic to multiple servers or other resources while balancing the load. Load balancing in the cloud is typically software-based and offers benefits like scalability, reliability, reduced costs, and flexibility compared to traditional hardware-based load balancing. Common cloud providers like AWS, Google Cloud, and Microsoft Azure offer multiple load balancing options that vary based on needs and network layers.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Service level agreement in cloud computing an overviewDr Neelesh Jain
In the presentation overview of Service Level Agreement in Cloud Computing is discussed. Also introduction to Cloud Computing, and its benefits are too discussed.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Federated Cloud Computing - The OpenNebula Experience v1.0sIgnacio M. Llorente
The talk mostly focuses on private cloud computing to support Science and High Performance Computing environments, the different architectures to federate cloud infrastructures, the existing challenges for cloud interoperability, and the OpenNebula's vision for the future of existing Grid infrastructures.
Content:
What is cloud computing?
Uses of cloud computing
Top benefits of cloud computing
Types of Cloud
-private cloud (benefits and drawbacks)
-public cloud (benefits and drawbacks)
-hybrid cloud
Service models
-Infrastructure as a service
-Platform as a service
-Software as a service
Summarized view of service models
Cloud platform in industry
REFERENCES:
1- Book:
Mastering Cloud Computing- Foundation and application program
By Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi
2- Other links:
https://azure.microsoft.com/en-in/overview/what-is-cloud-computing/
Service level agreement in cloud computing an overviewDr Neelesh Jain
In the presentation overview of Service Level Agreement in Cloud Computing is discussed. Also introduction to Cloud Computing, and its benefits are too discussed.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Federated Cloud Computing - The OpenNebula Experience v1.0sIgnacio M. Llorente
The talk mostly focuses on private cloud computing to support Science and High Performance Computing environments, the different architectures to federate cloud infrastructures, the existing challenges for cloud interoperability, and the OpenNebula's vision for the future of existing Grid infrastructures.
Content:
What is cloud computing?
Uses of cloud computing
Top benefits of cloud computing
Types of Cloud
-private cloud (benefits and drawbacks)
-public cloud (benefits and drawbacks)
-hybrid cloud
Service models
-Infrastructure as a service
-Platform as a service
-Software as a service
Summarized view of service models
Cloud platform in industry
REFERENCES:
1- Book:
Mastering Cloud Computing- Foundation and application program
By Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi
2- Other links:
https://azure.microsoft.com/en-in/overview/what-is-cloud-computing/
Cloud computing is an advancement to keep up information and applications with the utilization of web and focal remote servers. It enables clients to utilize applications without connection and get to their individual reports at any PC with web get to. This headway gifts productive enlisting by joining limit, prepare, memory and trade speed. Scattered figuring outfit clients and endeavors with various aptitudes to store and process their information in untouchable server farms.
Cloud computing is an advancement to keep up information and applications with the utilization of web and focal remote servers. It enables clients to utilize applications without connection and get to their individual reports at any PC with web get to. This headway gifts productive enlisting by joining limit, prepare, memory and trade speed. Scattered figuring outfit clients and endeavors with various aptitudes to store and process their information in untouchable server farms.
Today Cloud computing is used in a wide range of domains. By using cloud computing a user
can utilize services and pool of resources through internet. The cloud computing platform
guarantees subscribers that it will live up to the service level agreement (SLA) in providing
resources as service and as per needs. However, it is essential that the provider be able to
effectively manage the resources. One of the important roles of the cloud computing platform is
to balance the load amongst different servers in order to avoid overloading in any host and
improve resource utilization.
It is defined as a distributed system containing a collection of computing and communication
resources located in distributed data enters which are shared by several end users. It has widely
been adopted by the industry, though there are many existing issues like Load Balancing, Virtual
Machine Migration, Server Consolidation, Energy Management, etc.
RAID (redundant array of independent disks) is a way of storing the same data in different places on multiple hard disks or solid-state drives (SSDs) to protect data in the case of a drive failure.
ITU-T requirement for cloud and cloud deployment modelHitesh Mohapatra
List and explain the functional requirements for networking as per the ITU-T technical report. List and explain cloud deployment models and list relative strengths and weaknesses of the deployment models with neat diagram.
Medium:
Maximum Level sum of a Binary Tree
Jump Game III
Minesweeper
Binary Tree Level Order Traversal
Number of operations to make network connected
Open the lock
Hard:
Sliding Puzzle
Trapping Rain Water II
Trie Data Structure
LINK: https://leetcode.com/tag/trie/
Easy:
1. Longest Word in Dictionary
Medium:
1. Count Substrings That Differ by One Character
2. Replace Words
3. Top K Frequent Words
4. Maximum XOR of Two Numbers in an Array
5. Map Sum Pairs
Hard:
1. Concatenated Words
2. Word Search II
Basic commands for powershell : Configuring Windows PowerShell and working wi...Hitesh Mohapatra
Configuring Windows PowerShell and working with basic commands
• Configuring the Windows PowerShell console
• Configuring the Windows PowerShell ISE application
• Finding commands
• Running commands
• Using the About files
WINDOWS ADMINISTRATION AND WORKING WITH OBJECTS : PowerShell ISEHitesh Mohapatra
WINDOWS ADMINISTRATION AND WORKING WITH OBJECTS
CREATING AND MANAGING ACTIVE DIRECTORY OBJECTS
CONFIGURING NETWORK SETTINGS ON WINDOWS SERVER
CREATING A WEB SITE
SELECTING, SORTING, AND DISPLAYING DATA
FILTERING OBJECTS AND ENUMERATING OBJECTS
Thank you for your interest in Reinforcement Learning with MATLAB: Understanding Training and Deployment. Bookmark this page to access it at any time.
Although you can view it on any device, your desktop provides the optimal experience.
Sincerely,
MathWorks Content Team
mathworks.com
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
2. WHAT IS CLOUD LOAD BALANCING?
▪ Cloud load balancing is the process of distributing workloads across
computing resources in a cloud computing environment and carefully
balancing the network traffic accessing those resources.
▪ Load balancing enables organizations to meet workload demands by
routing incoming traffic to multiple servers, networks or other
resources while improving performance and protecting against
disruptions in services.
▪ Load balancing also makes it possible to distribute workloads across two
or more geographic regions.
3. CONT…
▪ Cloud load balancing helps enterprises achieve high-performance levels
for potentially lower costs than traditional on-premises load balancing
technology.
▪ Cloud load balancing takes advantage of the cloud's scalability and
agility to meet the demands of distributed workloads with high
numbers of client connections. It also improves overall availability,
increases throughput and reduces latency.
▪ In addition to workload and traffic distribution, cloud load balancing
services typically offer other features, such as application health checks,
automatic scaling and failover and integrated certificate management.
5. CONT.
▪ Cloud load balancing takes a software-based approach to distribute
network traffic across resources, as opposed to hardware-based load
balancing, which is more common in enterprise data centres.
▪ A load balancer receives incoming traffic and routes those requests to
active targets based on a configured policy.
▪ A load-balancing service also monitors the health of the individual
targets to ensure that those resources are fully operational.
6. HOW?
▪ In cloud computing, load-balancing technology resides between back-
end servers and client devices.
▪ As requests are received, the load balancer distributes them to available
servers using an algorithm that may take into account a variety of
criteria, including geographical distance and server load.
7. WHAT ARE CLOUD LOAD-BALANCING
TECHNIQUES AND ALGORITHMS?
▪ Load balancing in the cloud is usually achieved by using an algorithm to
determine how to direct traffic.
▪ These algorithms typically fall into two categories: static and dynamic.
8. STATIC ALGORITHMS
▪ Round Robin forwards requests to each cloud server in a simple,
repeating order.
▪ Weighted Round Robin assigns servers with greater capacity a higher
“weight,” enabling them to receive more incoming application traffic.
▪ IP Hash performs a hash, or a mathematical computation, on the client
IP address, converting it to a number and mapping it to individual
servers.
9. DYNAMIC ALGORITHMS
▪ Least Connections distributes traffic to the servers with the fewest
active connections.
▪ Least Response Time directs traffic to the servers with the lowest
average response time and fewest connections.
▪ Least Bandwidth sends requests to the servers consuming the lowest
amount of bandwidth during a recent period of time.
10. WHAT ARE THE BENEFITS OF CLOUD
LOAD BALANCING?
▪ Improved performance. By automatically distributing workloads across
multiple resources, load balancing enables applications running in the
cloud to handle traffic spikes more easily.
▪ Greater reliability. Hosting applications at multiple cloud hubs enables
organizations to route traffic around outages.
▪ Reduced costs. With software-based load balancing in the cloud,
organizations can eliminate the cost of installing, housing, configuring,
and maintaining on-premises load-balancing appliances.
11. CONT.
▪ Improved flexibility. By routing traffic to alternative servers, cloud load
balancing supports the needs of development teams when performing
updates, applying patches, remediating issues with servers, or
conducting tests in production environments.
▪ Better security. Cloud load balancing improves defences against
distributed denial-of-service (DDoS) attacks by spreading traffic across
multiple servers and rerouting traffic away from overloaded servers.
▪ Seamless scalability. Cloud load balancing solutions can help scale
applications automatically and efficiently to manage fluctuations in
workloads.
▪ Health checks. Cloud DNS load balancers automatically perform
periodic checks to monitor the health of upstream servers.
12. WHAT IS CLOUD LOAD BALANCING VS.
TRADITIONAL LOAD BALANCING?
▪ Traditional load balancing technology is hardware-based, requiring IT
teams to install, manage, and maintain proprietary hardware within a
data center.
▪ In contrast, cloud load balancing tends to be a software-based
technology, as most cloud vendors will not allow customer hardware to
run within their environment.
▪ Software-based load balancers can run in any location or environment,
and they are more affordable for smaller businesses.
13. CONT.
• Reduced latency. Load balancing minimizes response time for
application users by spreading cloud workloads evenly across available
resources.
• Easier automation. Cloud load balancing improves automation by
enabling organizations to deliver insight into applications in near-real
time and use predictive analytics to identify potential bottlenecks in
advance.
• Faster recovery. During network emergencies or natural disasters,
providers offering cloud load balancing can redirect traffic to other
regions to ensure continuity and availability.
14. WHAT IS CLOUD LOAD BALANCING AS A
SERVICE (LBAAS)?
▪ Load balancing as a service provides cloud load balancing on an as-
needed basis, replacing on-premises, dedicated appliances.
▪ LBaaS provides greater scalability, as load balancing in the cloud can
accommodate traffic spikes without needing to reconfigure physical
infrastructure.
▪ Greater availability is ensured by connecting to the closest servers, and
LBaaS can also reduce the cost of investment and maintenance when
compared to hardware-based appliances.
15. WHAT ARE DIFFERENT TYPES OF LOAD
BALANCING?
Load balancing in the cloud falls into four broad categories.
▪ Application load balancing redirects traffic by looking at the content of
a request — for example, HTTP headers or SSL session IDs.
▪ Network load balancing technology considers IP addresses and other
network information when redirecting traffic to an optimal resource.
▪ Global server load balancing redirects traffic to destinations that are
geographically closest to the client to minimize latency.
▪ DNS load balancing configures a domain to route network requests
across a collection of resources within the domain.
16. WHAT ARE THE TYPES OF LOAD
BALANCING TECHNOLOGY?
Load balancers are one of two types: hardware load balancers and software load balancers.
Hardware load balancers
▪ A hardware-based load balancer is a hardware appliance that can securely process and
redirect gigabytes of traffic to hundreds of different servers. You can store it in your data
centres and use virtualization to create multiple digital or virtual load balancers that you can
centrally manage.
▪ Hardware-based load balancers are dedicated boxes which include Application Specific
Integrated Circuits (ASICs) adapted for a particular use. ASICs allow high-speed promotion
of network traffic and are frequently used for transport-level load balancing because
hardware-based load balancing is faster in comparison to a software solution.
Software load balancers
▪ Software-based load balancers are applications that perform all load-balancing functions.
You can install them on any server or access them as a fully managed third-party service.
▪ Software-based load balancers run on standard hardware (desktop, PCs) and standard
operating systems.
18. EXAMPLES: AMAZON WEB SERVICES
(AWS)
▪ Amazon Web Services (AWS) Elastic Load Balancing distributes incoming
client traffic and routes it to registered targets such as EC2 instances.
Elastic Load balancing supports four types of load balancers:
Application, Network, Gateway and Classic. The load balancers differ in
the features offered, the network layers at which they operate and
supported communication protocols.
19. GOOGLE CLOUD PLATFORM
▪ The Cloud Load Balancing service available on Google Cloud Platform is
built on the same front-end server infrastructure that powers Google.
The service offers a range of load balancers that vary depending on
whether the customer needs external or internal load balancing, global
or regional load balancing, Premium or Standard network service tiers,
proxy or pass-through services, among other factors.
20. MICROSOFT AZURE
▪ Microsoft Azure offers four load balancing services. Azure Traffic
Manager is a (OSI model) layer 7 DNS-based traffic load balancer for
delivering services across global Azure regions. Azure Load Balancer is a
layer 4 network load balancer for routing traffic between VMs. Azure
Application Gateway is a layer 7 delivery controller for regional
applications. Azure Front Door is a highly secure, layer 7 global load
balancer for microservice