Network Infrastructure, Network Management
Article | July 27, 2023
Network as a Service (NaaS) is gaining ground due to shrinking network boundaries and fast technological evolution in response to changing market demands. NaaS brings with it networks, operations, and business architecture that are more agile and based on open standards.
Rather than the conventional upfront cost, Network as a Service technology delivers networking gear, software, and operational and maintenance services as an operational expenditure. NaaS, like other cloud services, is maintained by the service provider and offered for a set cost.
Why Do Businesses Today, Need Network as a Service (NaaS)?
Businesses have recognized the advantages of the cloud in moving away from conventional on-premises networks. The corporate network boundary has practically vanished, and NaaS is becoming a popular technology.
Offers Flexibility to Businesses
Businesses can obtain a better return and save money by employing utility models instead of large expenditures on hardware and network equipment.
Time for Innovations
NaaS provides innovations by staying up to date with updated software versions via license upgrades and can fulfill corporate demands to introduce new goods and services more quickly.
Minimizes Operational Risk
NaaS will reduce operational risk associated with artificial intelligence (AI) and/or machine learning (ML); businesses will be able to implement the most recent product features and services.
Top 3 Benefits of Network as a Service (NaaS)
Access from Anywhere
Depending on how a cloud-based network is setup, users should be able to access it from anywhere and on any device without employing a VPN, though this creates the need for strict access control.
A user should ideally just need a connection to the internet and login details.
Bundled with Security
NaaS enables a single supplier to provide both networking and security services such as firewalls. As an outcome, the network and network security are more deeply integrated.
Cost-effective
Purchasing cloud services rather than developing one's own services generally leads to cost savings: cloud users do not have to purchase and maintain equipment, and the vendor already has the servers necessary to provide the service.
Read More
5G
Article | September 28, 2023
Blockchain technology has the potential to transform the way businessesoperate.As a result, it has gained tremendous momentum and is no longer the utopian dream of a few crypto enthusiasts. According to a Deloitte report that surveyed more than 1300 senior executives worldwide, 53% said blockchainin businessis a priority. Also, PwC highlights thatblockchain alone can add $407 billion to the GDP of the USA by 2030.
Blockchain is cementing its position in the market and is expected to be worth $163 billion by 2027, according to Statista. The time has come for digital businesses to harness the power of decentralization and incorporate it into their everyday processes.
You simplycan’t lose out on the business opportunities that this technology has tooffer simply because you are living under a rock. In this article, we will discuss how using blockchain for business can make a huge difference in your business process. Let’s first begin by looking at the challenges faced by traditional business models.
Challenges Traditional Business Models Face
A growing business encounters several challenges, and different problems demand different solutions. Mentioned below are some of the challenges that traditional business models often encounter.
Time-Consuming Processes
In a business operation, all processes function as separate entities. Teams often find themselves looking for, gathering, and analyzing the same data to make decisions.
As a result, the teams must rely on a lot of third-party intermediaries to runtheir business processes smoothly. This adds to the time and complexity of the processes.Use of blockchain technology can help to effectively do away with this challenge.
Lack of Security
Data security is another area of concern that can be taken care ofby storing data on the blockchain. Data that is storedin the cloud or a centralized storage facility, is vulnerable to security breaches. The traditional business ecosystem, data, and stakeholders are unprepared for the considerably more intelligent and ever-changing hackingtechniques. As a result, important and confidential data can get breached and compromised.
Payment Barriers
Payment transactions are often more complicated, time-consuming, and costly due to the diversity of currencies and parties involved. Blockchain technology promises to make processing payments and other transactions around the world faster, safer, and cheaper by getting rid of the need for mediators like correspondent banks and clearing institutions.
Payment barriers are another problem that the adoption of blockchain business models can ease.
Shoot-up Your Business Growth with Blockchain Technology
Blockchain in business is aiding the transformation of business across industries all around the globe. Blockchain is transforming supply chains, banking and financial services, healthcare, government, retail, and other industries.
Here are some statistics that demonstrate blockchain's significance in strengthening industries:
The financial sector contributes to around 30% of the market value of blockchain. (Statista)
By 2028, the value of blockchain in healthcare will be $1189.8 million. (Vantage Market Research)
By 2026, the value of blockchain in agriculture and food will be $1.48 billion. (BIS Research)
In 2022, the blockchain market in the manufacturing industry will be worth $85.64 billion. (Globe Newswire)
Accelerates Your Business Processes
Blockchain is taking a central role in the ongoing digital transformation process. In digital transformation, time is one of the most critical factors that keeps you ahead of the curve. Moreover, business operations that use a blockchain to store and transfer data provide high levels of security.
On this basis, you can create completely automated transactions in various business domains. This method is not only dependable and safe, but it is also exceedingly fast.
Improves Your Online Security
Encryption and validation are two significant advantages of mainstreaming blockchain technology. Every operation and communication that happens online will be encrypted. It protects against data alteration. Due to its distributed nature, you can verify that no one has altered even a bit by checking signatures across all nodes.
Blockchain in business will be helpful for storage, private messaging (between companies/clients or friends on social media), safer DNS, and IoT security. Blockchain use in business will enhance cybersecurity, but this transformation won’t happen overnight, it will take years before it impacts the ways in which we use the internet.
Eases Online Payments
While online transactions are safer than ever, users' data is still at risk. However, this decentralized platform can make payments transparent and tamper-proof in the financial ecosystem.
Decentralized blockchain technology protects data. Simply put, it allows you to make payments without a payment processor.
Blockchain technology protects financial transactions by removing central points of failure and minimizing errors. This helps in saving time and money. In addition, blockchain technology ensures that transactions remain unaltered and only those involvedcan see the history.
A Game-Changer in the Supply Chain & Logistics
Anything that can conceive of as a supply chain, blockchain can vastly improve its efficiency - it doesn’t matter if it’s people, numbers, data, money.”
- GinniRometty, CEO of IBM.
The integration of blockchain simplifies supply chain and logistics work. The blockchain's decentralized nature ensures maximum transparency in every transaction in the supply chain, from raw material purchase and manufacture to distribution and sale of the finished product. At a minimal cost, each transaction can be promptly and readily documented on the blockchain. There are very few risks this way, because the final buyer can track a product's origin along the whole supply chain.
Reduces Operational Cost
Blockchain-based smart contracts are a boon. Businesses can make and receive online payments through some set guidelines. Brokers, escrow agents, and other intermediaries are excluded through smart contracts. Smart contracts are self-executing programs that safeguard the interests ofall parties. These contracts use unbreakable cryptographic code and automatically implement contract terms.
Lastly, smart contracts keep track of all consumer, worker, and stakeholder activities. Many global corporations use smart contracts to perform essential HR and administrative tasks.
What Does Blockchain Mean for Entrepreneurs?
Blockchain technology is so much more than just a technology used for cryptocurrencies. For a commoner, whenever we talk about blockchain, the first thing they think of is bitcoin or cryptocurrency. However, for businesses and entrepreneurs, blockchain is more than just a cryptocurrency. Let's take a look at the ways in which blockchain technology can empower business leaders.
Case Study
Blockchaintechnology is being rapidly usedin the logistics industry.The main advantages include higher confidence in the system due to greater transparency, improved product traceability, and cost savings by eliminating manual and paper-based administration.
One such example Tradelens, a blockchain-powered open and neutral supply chain network, is one example. It was founded by IBM and Maersk and has expanded to 150 members, including some of the world's largest logistics companies, including CMA CGM, MSC, ONE, and Hapag-Lloyd. In 2020, it claims to have made businesses 15% more efficient by letting them get rid of legacy data systems, manual document processing, and limited visibility. By 2050, it claims to have made them 15% more efficient.
Final Thought
Blockchain technology is theinevitable future, and its use is no longer restricted to crypto transactions. In the coming years, blockchain development solutions will be used ineCommerce marketplace, peer-to-peer financial transactions, content distribution, healthcare data exchanges, supply chain, and customer services.
Blockchain applications are no more the pie-in-the-sky dreams of early adopters. This technology has the potential to revolutionize practically every sector and solve your company's greatest challenges. Smart and strategic use of new technologies, can make your company more secure, transparent, and ready for whatever comes next.
FAQ
What Is the Impact of BlockchainTechnology on Business Models?
Blockchain implementations can minimize transaction costs such as negotiation and search expenses and eliminate intermediary costs. This means that by 2022, blockchain technology is expectedto cut costs in the financial sector by$15–$20.
What Is the Size of theBlockchainMarket?
The global blockchain market was valued at $1.57 billion in 2018 and is expected to more than triple to 163 billion USD by 2027.
What Does BlockchainMean for Business?
A blockchain is a digital record of who owns what, and it is constantly updated. The time, date, dollar amount, and participants in a transaction are encrypted into a "block" that is connected to other blocks to create a chain.
Read More
Data Center Networking
Article | July 5, 2023
Transparency, explainability and trust are big and pressing topics in AI/ML today. Nobody wants to find themselves at the receiving end of a black AI box system that makes consequential decisions (e.g., about jobs, healthcare, citizenship, etc.), especially if those decision are unfair, biased, or just plainly not in our favor. And most organizations agree that consumer trust and confidence that AI is being used ethically and transparently are key to unlocking its true potential.
And while there are literally hundreds of documents describing and prescribing AI principles, frameworks and other good things, last year there was no practical tool that could help with implementing transparency. And this tool is AI registers…
The Cities of Helsinki and Amsterdam jointly announce the launch of their public AI registers. The two registers were developed in collaboration with Saidot.ai, a Finnish company which specializes in “bringing transparency to consumer services” and which, to the best of my knowledge, is the only vendor in this space.
The idea for the company grew from the personal frustration of its founder and CEO, Meeri Haataja, who was “seeing how important transparency of AI is for the future of each one of us, and not being able to find too many meaningful ways to act on it.”
Read More
Network Management
Article | November 22, 2021
Applications of AI/ML
Modern businesses are adopting Artificial Intelligence (AI) that encompasses disciplines like machine learning (ML), natural language processing (NLP), evolutionary computation, etc., to increase their productivity and management capabilities.
Companies like Qualcomm are using AI and machine learning to improve their customer experience.
“Across many industries, we are currently experiencing the creation of intelligent machines that is using AI to simulate smart behavior.”
-Dr. Vinesh Sukumar, Senior Director- Head of AI/ML Product Management at Qualcomm, ( in an interview with Media7)
The application of machine learning in networking is swiftly taking shape. However, as the problems in modern computer networks are getting tedious to handle, AI tools are being introduced to hard-carry their smooth functioning.
Let’s take a look at how network complexity impacts businesses:
Difference in Network Parameters
Different client devices like laptops, smartphones, CCTV cameras, etc., are connected to a single network. However, their requirements and parameters are different. Therefore, the IT team of the business needs to meet them without compromising the functionality and security of the network.
Users Prefer Wireless Networks
Wireless networks are more complex than wired ones. They perform dynamically depending on the number of users, applications, and other variables.
Impact of Cloud Computing
Most applications are now cloud-based, and such a network has multiple data entry points and requires more support.
User Experience
Deciphering root cause analysis, finding correlation and solutions becomes tedious without an AI/ML model. Complex patterns remain unanalyzed, and this creates a vacuum between the customer and the business.
What Does ML Bring to the Table?
Machine learning applications in networking correlate to solving four types of network problems: clustering, extraction, regression, and classification.
For classification and regression, ML clusters similar data and creates a gap between data groups. It then successfully maps a new set of data to a pre-set continuously valued output. As for extraction, it easily establishes a statistical relationship between the data it analyzes.
Machine learning applications in networking encompass the following:
Automation and Cognitive Computing
ML enables automation in data processing by eliminating the human error factor and constantly improving with time. It analyzes data, improves the productivity, security, and health of the network. Cognitive computing allows processing diverse data sets, detecting and finding root causes and common traits within the system.
Network Monitoring & Security
Network monitoring is used to solve problems in a large dataset by deciphering the hidden pattern in the data. It then predicts the outcome for clustered data, malware attacks, or impending network failure. It recognizes impending threats in time and sends out warnings. ML uses anomaly-based intrusion, misuse-based intrusion, or hybrid intrusion to prevent misuse, modification, unauthorized access, or malfunction.
Traffic Prediction, Classification, and Routing
Network traffic prediction is important to handle any mishaps proactively. Network analysis in machine learning is done by using Time Series Forecasting (TSF). By using a regression model solution, TSF finds a correlation between the traffic volume in the future and the traffic previously observed.
Traffic classification ensures Quality of Service (QoS), planning ahead for capacity, security, performance analysis, etc. It helps with proper resource utilization by pinpointing unnecessary traffic in a critical application.
Factors like cost-effectiveness, link utilization, operational capabilities, and policies are also considered by the ML model.
Congestion Control
ML models control the number of packets that enter a network to ensure that the network is stable, fairly utilize resources, and follow queue management employed for congestion control.
Efficiently Managing Resources
ML efficiently manages network resources like the CPU, frequency, switches, memory, routers, etc., by using analytical decision-making.
ML Learning Curve
ML models learn in the following ways:
Pitfalls
Like any other technology, machine learning application in networking comes with pitfalls and limitations. Here are a few:
Data Quality
The efficiency of an ML model is based on the quality, quantity, and diversity of data it processes so it can deduce patterns or identify root causes. Most ML models use simplistic synthetic data for training, validation, and performance. The same cannot be said about practical settings because the data comes from different applications and services and is more complex.
Feasibility
There are scalability and feasibility issues because each network and application is different. Moreover, there are no set standards for uniformity for implementation which makes it hard to set benchmarks or best practices. Control over autonomic networks is distributed and remains limited based on the vendor’s specific devices.
Predictive Analysis and Its Cost
Network analysis and machine learning prediction require additional accurate and effective monitoring investments. Moreover, fault management may have some potholes as there may be a scarcity of normal fault data.
High FPR (False Positive Rates)
Anomaly detection by ML in networking has not created enough buzz in the industry because it generates high FPRs during operations. Also, no detailed anomaly report is generated, so no anomaly history log can be maintained.
Striking a Balance
ML requires time to learn and mitigate issues. It is difficult to identify, in advance, how complex the ML’s approach will be. Striking a balance between the performance and computational cost is difficult. Deciphering comprehensive evaluation metrics is also a tedious task.
No Theoretical Model
There is no theoretical model, in turn, a unified theory, for ML in networking, so each network may have to be learned separately. The current machine learning applications in networking are made keeping in mind certain applications. Over time, more research to tailor ML for certain networks needs to be done. Cross-domain experts who understand both ML and networking are also rare.
Solutions
Software Defined Networking (SDN)
CISCO helped PwC Italy set up a secure network at their new twenty-eight-floor tower with the help of their SD-Access product. PwC wanted a secure, robust network with increased Wi-Fi and wired connectivity for their 3000 employees by streamlining network operations.
“We needed a robust and highly reliable wireless network infrastructure that’s as advanced as the tower itself.”
-Simone Demaria,Network Architect and Infrastructure Manager at PwC Italy
By applying Software Defined Network (SDN), IT personnel can remotely govern network policies in real-time through open interfaces, so traffic engineering is easily possible. SDN also contributes to network virtualization.
SDN supports the upcoming 5G ecosystem. When combined with NFV and VNF, SDN can revolutionize networking.
Going Beyond Traffic Volume & Prediction
To tackle the limitations that TSF-based traffic prediction models have, leveraging features beyond traffic prediction and concentrating on traffic interpolation and sampling could be viable. Research is ongoing on this possibility.
Summing It Up
As the influx of data keeps on increasing, the complexity of networks will increase in tandem. For successfully implementing ML for streamlining networking, the ML approaches we are aware of today need to be upgraded to accommodate multi-layer networks and multi-tenancy so autonomic networking can be a reality.
FAQs
How Can ML Help in Making Networking Smarter?
ML can streamline the network by automation, threat detection, and improving its performance.
How Complex Is Integrating ML into Networking?
The complexity depends on the type of network you are integrating it into.
What to Keep in Mind Before Using Ml in Networking?
Consider investment costs, data availability, feasibility, and scalability.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "How Can ML Help in Making Networking Smarter?",
"acceptedAnswer": {
"@type": "Answer",
"text": "ML can streamline the network by automation, threat detection, and improving its performance."
}
},{
"@type": "Question",
"name": "How Complex Is Integrating ML into Networking?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The complexity depends on the type of network you are integrating it into."
}
},{
"@type": "Question",
"name": "What to Keep in Mind Before Using Ml in Networking?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Consider investment costs, data availability, feasibility, and scalability."
}
}]
}
Read More