Cloud Computing and applications

The rapid evolution of cloud-native applications has intensified the demand for scalable, flexible, and cost-efficient architectures. Serverless computing and microservices have emerged as transformative paradigms, enabling dynamic resource management and modular system design for enhanced scalability. Concurrently, blockchain technology faces persistent challenges in interoperability, hindering seamless communication across diverse networks. This study evaluates the impact of serverless computing and microservices on the scalability of cloud-native applications and their role in improving blockchain interoperability frameworks. Through a systematic literature review and comparative analysis of case studies, the research examines performance metrics such as scalability, latency, and cost-efficiency. Findings reveal that serverless architectures reduce operational overhead while enabling elastic scaling, whereas microservices facilitate modular development and system resilience. Additionally, integrating these paradigms with blockchain interoperability protocols enhances cross-chain communication and transaction efficiency. The study provides practical recommendations for developers and stakeholders to optimize system designs, highlighting the potential of these technologies in advancing scalable, interoperable, and future-ready distributed systems.

Cloud Computing is an emerging field and prefer by many one at current but it's craze is lot more depend on its performance which in turn is too much depend on the effective scheduling algorithm and load balancing. In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.

Fog computing is a standard partition infrastructure between edge and cloud computing. Fog computing and cloud computing are not the same they both have the features that make them different from each other but both have some uniform character because of this, here did not devote security and privacy assessment of cloud to fog computing like mobility, heterogeneity, etc. Fog computing is present as an intermediate layer work as an arm between cloud and edge computing. As the data increases, the security problems will be over. The essential problem in fog computing is its security because of finite resources. Cloud computing is technology here, any amount of data is stored online on a cloud server but cloud computing or servers of the cloud is miles from the enduser and this is the reason user faces a problem like lower latency so to deal with a problem a new technology called Fog computing is designed. In this survey, discussing the security concern of fog computing and will try to find the solution better than the existing solution as well.

Fog computing is a standard partition infrastructure between edge and cloud computing. Fog computing and cloud computing are not the same they both have the features that make them different from each other but both have some uniform character because of this, here did not devote security and privacy assessment of cloud to fog computing like mobility, heterogeneity, etc. Fog computing is present as an intermediate layer work as an arm between cloud and edge computing. As the data increases, the security problems will be over. The essential problem in fog computing is its security because of finite resources. Cloud computing is technology here, any amount of data is stored online on a cloud server but cloud computing or servers of the cloud is miles from the enduser and this is the reason user faces a problem like lower latency so to deal with a problem a new technology called Fog computing is designed. In this survey, discussing the security concern of fog computing and will try to find the solution better than the existing solution as well.

Cloud Computing is an emerging field and prefer by many one at current but it's craze is lot more depend on its performance which in turn is too much depend on the effective scheduling algorithm and load balancing. In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.

Cloud Computing is an emerging field and prefer by many one at current but it's craze is lot more depend on its performance which in turn is too much depend on the effective scheduling algorithm and load balancing. In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.

Fog paradigm is a new and emerging technology that extends the services of cloud computing near to edge network. This paradigm aims to provide rich resources near to edge devices and remove the deficiencies of cloud computing for example, latency. However, this paradigm is distributed in nature and does not guarantee the trustworthiness and good behavior of edge devices. Thus, authentication and key exchange are significant challenges in front of this new paradigm. The researchers have worked on different authentication and key exchange protocols. Recently Maged Hamada Ibrahim proposed an authentication scheme that permits fog user to authenticate mutually with fog server under the authority of a cloud service provider. Alongside, Amor et al proposed an anonymous mutual authentication scheme. In this scheme, the fog user and fog server authenticate each other without disclosing the user real identity, using public-key cryptosystem. But, we demonstrated that Maged Hamada Ibrahim does not preserve the user anonymity, hence, it was exposed to man in the middle attack. Amor et al. scheme is computationally complex as it is using public key cryptosystem that has low throughputs and requires large memory, which not suitable to employ for fog computing that connecting internet of things with small memory, and requires high throughputs. Therefore, to overcome the aboveaforementioned security problems internet of things constraints, an improved mutual authentication security scheme based on advanced encryption standard and hashed message authentication code in fog computing has been proposed. Our scheme provides mutual authentication between internet of things devices and fog servers. We proved that the proposed improved scheme provides secure mutual authentication using the widely accepted Burrows Abdi Needham logic. In this study, the properties i.e. performance, security, and functionality are analyzed and compared with existing and related mutual authentication schemes. Our scheme provides better in security, functionalities, communication and computation cost as compared with the existing schemes.

Fog computing is a standard partition infrastructure between edge and cloud computing. Fog computing and cloud computing are not the same they both have the features that make them different from each other but both have some uniform character because of this, here did not devote security and privacy assessment of cloud to fog computing like mobility, heterogeneity, etc. Fog computing is present as an intermediate layer work as an arm between cloud and edge computing. As the data increases, the security problems will be over. The essential problem in fog computing is its security because of finite resources. Cloud computing is technology here, any amount of data is stored online on a cloud server but cloud computing or servers of the cloud is miles from the enduser and this is the reason user faces a problem like lower latency so to deal with a problem a new technology called Fog computing is designed. In this survey, discussing the security concern of fog computing and will try to find the solution better than the existing solution as well.

Cloud Computing is an emerging field and prefer by many one at current but it's craze is lot more depend on its performance which in turn is too much depend on the effective scheduling algorithm and load balancing. In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.

Cloud Computing is an emerging field and prefer by many one at current but it's craze is lot more depend on its performance which in turn is too much depend on the effective scheduling algorithm and load balancing. In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.

Cloud Computing is an emerging field and prefer by many one at current but it’s craze is lot more depend on its performance which in turn is too much depend on the effective scheduling algorithm and load balancing . In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.

Fog computing (or fogging) is extending cloud computing to the edge of the network. It describes a decentralized computing structure located between the cloud and devices that produce data. Operations like computing, storing and networking between end devices and data centers of cloud computing are facilitated by Fog computing. Decentralization and flexibility are the main difference between Fog computing and Cloud computing. Advantages of Fog computing include, minimize latency, conserve network bandwidth, reduce operating costs, enhance security, improve reliability, deepen insights and boost business agility. Various applications of Fog computing are, smart cities and smart electric grids, smart transportation networks, connected cars, real-time analytics etc. Here, this paper presents a comparative study of Cloud computing and Fog computing.

ABSTACT
Fog computing is a prime example that extends Cloud computing and Internet of Things (IoT) application services to the edge of the network. Correlated to Cloud, Fog computing provides data transferring, larger and more immediate storage bandwidth and application services to end users. This innovative architecture stands in close correlation with its Cloud counterpart. As it is well known Cloud faces various security and privacy problems thus inheriting most of them to Fog computing along side some new security and privacy challenges because of Fog's distinct characteristics. Later on, we will cite these new challenges and threads.

Database archiving is a subset of the larger topic of data archiving. Database archiving
is the process of removing selected data records from operational databases that are not
expected to be referenced frequently and storing them in an archive data store where they
can be retrieved if needed. Database archiving is an electronic form of records retention for
the long-term. There are already some tools available for archiving databases which include
Repository of Authentic Digital Records (RODA), Chronos and Software Independent
Archiving of Relational Database (SIARD). Typically, the tools migrate databases to
eXtensible Markup Language (XML) format and add technical as well as non-technical
metadata.
The Swiss Federal Archives (SFA) has established a two-fold solution. They developed
the SIARD format, an open, published, consistent archiving format for relational databases.
They provide a software for converting databases into the SIARD format. The SIARD
tool migrate a database to an XML format and then load back to a DBMS whenever the
need for searching something in the database arises. There may be many users who are not
familiar with the use of DBMS, which require technical knowledge. Moreover, keeping a
DBMS running for a retired database may require resources which may be saved.
A tool namely Archived Database Disseminator (ADD) which provide easy access to
archived data is developed. The use of this tool will help users avoid the need to installing
and maintaining a Database Management System (DBMS). A desktop application is
developed which is able to facilitate the dissemination of an archived database in the
SIARD format. Specifically, the tool allows to join different database tables using join
algorithm and filter tables using keyword-based search. ADD help users to access data in
databases. ADD display names of all tables in list where user able to select the different
tables easily. When user selects a specific table then it open in new window so the
user easily see all records are in it. Different kinds of filter boxes are there to filter the
records. Check boxes to select specific record form different tables and a tool tip to help
a user in which user is working. This application is be developed for both technical and
non-technical users of databases.

Now days, Mobile is for allowing convenient as well as on-demand network access to a shared pool of configurable computing capitals are rapidly provisioned and released with minimum management efforts. In two days world extensively use of internet. In the internet world all the things are online. So create software online compiler. This project main aim can be certainly write program and compile and debug it in online. The system compare three online compilers, namely, Online C, C++ compiler using Android application which decreases the problem of portability and storage space by making the use of Android application, centralized c# compiler using Android application which support to diminish problems of time, cost, storage space by using mobile application concept, online C, C++ compiler using mobile application [Android], which provides most expedient tool to compile code and remove the errors. These two compilers provide online compiler services, so there is no need to install distinct compiler on each pc. By using all these application users can conduct online practical examination.

Cloud Computing is an emerging field and prefer by many one at current but it’s craze is lot more depend on its

performance which in turn is too much depend on the effective scheduling algorithm and load balancing . In this paper we address this

issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of

environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to

overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the

least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is

the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the

environment consciousness increase the profit of cloud providers.

Cloud Computing is very fruitful area for today’s business. It

provide lot of advantages like reduction of hardware and

software cost for organization. Organization not has to invest

a lot of money for their infrastructure and they gain full

benefit of their investment. Number of cloud provider also

increasing some of which have their own data center and some

also have virtual data centre to provide services over the

internet. Cloud is a model where customer expects more

services or services without interruption for their money and

cloud provider expect more ROI (Return on investment).

These thing depend enough on effective scheduling Cloud

provider have many VM at their data centre so they must have

a proper load balancing to utilize their all VM. At present time

environment is becoming serious issue and in near future

problem is increasing more and more. So scheduling

algorithm must consider the issue of minimization of carbon

emission. In our work we propose an algorithm which will

address environment and load balancing issue for public

cloud.

Abstract: Cloud Computing is an emerging field and prefer by many one at current but it’s craze is lot more depend on its
performance which in turn is too much depend on the effective scheduling algorithm and load balancing . In this paper we address this issue and propose an algorithm for private cloud which has high throughput and for public cloud which address the issue of environment consciousness also with performance. To improve the throughput in private cloud SJF is used for scheduling and to overcome form the problem of starvation we use bounded waiting. For load balancing we monitor the load and dispatch the job to the least loaded VM. To gain more benefit and to have opportunity for future enhancement in public cloud environment consciousness is the key factor and for better performance and load balancing also desired. While load balancing improve the performance, the environment consciousness increase the profit of cloud providers.