Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
The encryption mechanism is a digital coding system dedicated to preserving the confidentiality and integrity of data. It is used for encoding plain text data into a protected and unreadable format.
This slides will provide viewers a complete understanding of all the different virtualization techniques.
The main reference for the presentation is taken from Mastering cloud computing By Rajkumar Buyya.
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
Cloud Computing offers an on-demand and scalable access to a shared pool of resources hosted in a data center at providers’ site. It reduces the overheads of up-front investments and financial risks for the end-user. Regardless of the fact that cloud computing offers great advantages to the end users, there are several challenging issues that are mandatory to be addressed.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
Each deployment model is defined according to where the infrastructure for the environment is located.
There are fives types of Cloud Deployment models with Advantages and Disadvantages.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
The encryption mechanism is a digital coding system dedicated to preserving the confidentiality and integrity of data. It is used for encoding plain text data into a protected and unreadable format.
This slides will provide viewers a complete understanding of all the different virtualization techniques.
The main reference for the presentation is taken from Mastering cloud computing By Rajkumar Buyya.
Cloud computing means using multiple server computers via a digital network, as though they were one computer.
We can say , it is a new computing paradigm, involving data and/or computation outsourcing.
it has many issues like security issues, privacy issues, data issues, energy issues, bandwidth issues, cloud interoperability.
there are solutions like scaling of resources, distribute servers etc.
Cloud Computing offers an on-demand and scalable access to a shared pool of resources hosted in a data center at providers’ site. It reduces the overheads of up-front investments and financial risks for the end-user. Regardless of the fact that cloud computing offers great advantages to the end users, there are several challenging issues that are mandatory to be addressed.
A Distributed computing architeture consists of very lightweight software agents installed on a number of client systems , and one or more dedicated distributed computing managment servers.
Each deployment model is defined according to where the infrastructure for the environment is located.
There are fives types of Cloud Deployment models with Advantages and Disadvantages.
In Cloud computing we explain the basics of cloud and its model. It contain contents which distinguish between different types of clouds and its characteristics. With the help of presented point you will able to select your required cloud solution that can meet your company requirements.
Private Cloud vs Public Cloud vs Hybrid Cloud – Which is best?Viana Labs
The choice of Public, Private or Hybrid completely depends on the business requirements, applications that need to be used and amount of data volume/workload the business wants to load on cloud. If you are not sure which platform to choose then you contact our cloud expert team to provide you free consulting service on how to migrate from on premise to public/private or hybrid cloud platform.
Visit us : https://vianalabs.com/aws-support-services/
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
2. Introduction
● In cloud computing, we have access to a shared pool of
computer resources (servers, storage, programs, and so on)
in the cloud.
● Your cloud provider is in charge of all upkeep.
● It functions as a virtual computing environment with a
deployment architecture that varies depending on the
amount of data you want to store and who has access to the
infrastructure.
4. Public Cloud
● A public cloud is owned and operated by a third-party cloud
service provider, and the infrastructure is made available to
the public over the internet.
● Public clouds are owned and operated by third-party
providers and are available to the public over the internet.
● They offer pay-as-you-go pricing and are suitable for
businesses that don't want to invest in their own
infrastructure.
● Examples of public cloud providers include Amazon Web
Services (AWS), Microsoft Azure, and Google Cloud
Platform.
5. Advantages
● Minimal Investment
● No setup cost
● Infrastructure
Management is not
required
● No maintenance
● Dynamic Scalability
● Less secure
● Low customization
Disadvantages
6. Private Cloud
● Private clouds are owned and operated by a single
organization and are not shared with any other
organization.
● They offer the benefits of the cloud, such as scalability
and cost savings, while maintaining the security and
control of a private infrastructure.
● Private clouds can be hosted on-premises or off-
premises.
7. Advantages
● Better Control
● Data Security and Privacy
● Supports Legacy Systems
● Customization ● Less scalable
● Costly
Disadvantages
8. Hybrid Cloud
● Hybrid clouds combine the benefits of both public
and private clouds, allowing organizations to use a
combination of on-premises, private, and public
cloud resources to meet their specific needs.
● This approach provides flexibility and enables
organizations to use the best solution for each
workload.
10. Community Cloud
● Community clouds are shared by multiple organizations
with similar needs and goals.
● They are typically owned and operated by a third-party
provider and are used by a specific community, such as
educational institutions or government agencies.
● Community clouds provide the benefits of the cloud, such
as scalability and cost savings, while maintaining the
security and control of a private infrastructure.
11. Advantages
● Cost Effective
● Security
● Shared resources
● Collaboration and
data sharing
● Limited Scalability
● Rigid in customization
Disadvantages
12. Multi-Cloud
● A multi-cloud strategy involves using multiple cloud
services from different providers to meet the needs of an
organization.
● This approach provides flexibility and helps to avoid vendor
lock-in. I
● It allows organizations to choose the best solution for each
workload and to take advantage of the strengths of
different cloud providers.