Q1 Recent trends in cloud computing and related technologies
Answer :-
Importance of
Cloud Computing
Companies
had to keep all their information and software on their own hard disks and
servers prior to cloud computing. The larger the business, the more storage was
required. This method of handling data is not scalable in terms of speed. For
example, if news of your firm spread and you unexpectedly received many online
orders, your computers would most likely collapse. For the IT division, good
business meant a lot of hard labour.
Cloud
computing is beneficial to individuals as well as corporations. Individually,
the cloud has changed our life as well. Daily, many of us utilize cloud
services. Cloud technology allows businesses to expand and adapt quickly,
accelerating innovation, driving business agility, streamlining operations, and
lowering costs. This can not only help firms get through the present situation,
but it can also contribute to enhanced, long-term growth.
Cloud
Computing Trends
1. Cloud AI
One of the most significant new trends for
gaining access to massive datasets is the AI-enabled cloud. Using machine
learning, they may use this data to optimize their key capabilities. Artificial
Intelligence is also used to tackle a variety of cloud-related challenges.
As a result, cloud computing services will be
the only way to scale up AI systems that create enormous amounts of data. Cloud
computing, on the other hand, will enable AI to do quicker computations and
better resource management.
2. Improving SaaS operations
More specialist solutions, such as Better
Cloud, Cloud Manager, and others, are developing to handle migrations and
operations as SaaS becomes more popular. It makes it possible to administer
whole solution suites such as Google G Suite, Microsoft Office 365 and other
popular SaaS solutions.
3. Containerization by Industry Giants
Containerization technologies will be quickly
and successfully embraced by industries. As a result of the trend, the cloud
computing sector will begin working on containerization efforts as soon as
possible. It will pick up speed shortly, and major corporations like Amazon and
Microsoft will invest in their own containerization software suites.
4. Enhanced Security
As is customary, one of the most significant
issues of every company organization is security, and organizations do not want
to rely on any 3rd party security solution. However, because security is so
important, firms that can’t afford or don’t have the resources to implement
in-house security solutions must rely on third parties. Cloud service providers
will give better security choices to their clients in the next few years.
5. Kubernetes
Kubernetes is a management solution developed
by Google that has had a big impact on the worldwide economy. Kubernetes has
been embraced by many businesses as a way to overcome cloud limitations.
Kubernetes is generating enthusiasm and making industry aspirations a reality,
thanks to its unique offering from cloud infrastructure providers.
6. Intelligent SaaS
Machine Learning is among the most widely used
technologies, with an impact on all SaaS and IT processes. Artificial Intelligence
(AI) and Machine Learning (ML) have radically changed how people operate.
Artificial Intelligence and Machine Learning
have a number of qualities that are very beneficial. And there won’t be a
product that isn’t regarded as clever in the future.
7. Kubernetes Supremacy
With Kubernetes gaining considerable traction
across the board, it’s critical for cloud infrastructure providers to keep up.
A business that considers Kubernetes will be able to compete in the
marketplace. Microsoft, for example, purchased Deis to extend its Kubernetes
toolset. NetApp has purchased Stack Point Cloud. There is also a slew of other
businesses that are concentrating on it. As a result, cloud suppliers will be
well-prepared soon.
8. Quantum Computing
Computer performance will undoubtedly improve
in the future years, without a question. However, quantum computing will be
required to make this viable. Computers will be able to transfer information at
a quicker rate thanks to quantum computing. In this sense, cloud computing is
equally crucial for increasing processing power and performance.
9. Multi-Cloud to Omni-Cloud
In recent years, the multi-level cloud has
gained a lot of traction in the commercial world. Many businesses have begun to
use cloud computing in their operations. It is expected that, as more portable
apps enable smoother communication, the multi-cloud will become omni-cloud in
the coming years.
10. Integrated Blockchain technology
Blockchain is a fantastic technology that
allows companies to track the many phases of the life cycle of the product.
When the cloud is combined with Blockchain technology, it allows organizations
to have a deeper understanding of items and their associated characteristics. Other
information, like product contamination and weather delays, may be obtained,
potentially saving corporations millions of dollars. This technique has already
been implemented by many businesses, and it will continue to expand in the
future years.
11.
Appearance of Private Cloud
Previously, businesses approached the
public with no clear goal or direction. However, after corporations discovered
the security risks and expenses of using the public cloud, it became less
appealing. Rebuilding private cloud infrastructure will be driven by the demand
for improved security and efficiency.
12.
Cloud-native Applications
As
cloud-based solutions evolve, it is critical that businesses provide products using
the cloud as well. In the future years, the growth of cloud-native apps will
accelerate. As a result, open-source project management platforms will be
widely used.
Q2 Comparative
study of different computing technologies [Parallel, Distributed, Cluster,
Grid, Quantum)
Answer :-
|
Parameter |
Parallel |
Distributed |
Cluster |
Grid |
Quantum |
|
Homogenous/heterogenous |
homogeneous
|
heterogenous |
homogenous |
heterogenous |
heterogenous |
|
Hardware
and OS |
Same
hardware and OS. |
Different hardware and different OS. For
intermachine communications, this hardware can use SNA or TCP/IP on Ethernet
or Token Ring. |
Similar
type of hardware and same OS. |
computers on grids can have different hardware and different operating systems hardware interfaces. |
Different
type of hardware and OS. |
|
Speciality |
increase available computation power for
faster application processing and problem solving. |
Three significant characteristics of
distributed systems are: concurrency of components, lack of a global clock, and
independent failure of components. |
Dedicated to work as a single unit. Cannot make use of computation power outside the grid. |
Can make use of spare computation power on a desktop . |
The
computational time complexity is lower. |
|
Interoperability |
yes |
No |
yes |
yes |
No |
|
Management
|
Easy |
Difficult |
Easy |
Difficult |
Difficult |
|
Application
domains |
computational astrophysics, geoprocessing (or
seismic surveying), climate modeling, agriculture estimates, financial risk
management, video color correction, computational fluid dynamics, medical
imaging and drug discovery. |
Social networks, mobile systems, online
banking, and online gaming |
Security, Search Engines, Database servers,
web servers, proxy, and email |
Distributed Supercomputing, High-throughput Supercomputing, On-demand
Supercomputing, Data-intensive Supercomputing, Collaborative Supercomputing |
Computational
chemistry, ML and AI, Cybersecurity and cryptography, logistics optimisation |
