scholarly journals An Experimental Performance Evaluation of Cloud-API-Based Applications

2021 ◽  
Vol 13 (12) ◽  
pp. 314
Author(s):  
Yara Abuzrieq ◽  
Amro Al-Said Ahmad ◽  
Maram Bani Younes
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Cloud Environment ◽  
Huge Number ◽  
Experimental Performance ◽  
Cloud Application ◽  
Short Period ◽  
Early Testing ◽  
Application Programming ◽  
Programming Interfaces

Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number of services have been attached to cloud platforms and widely utilized during a very short period of time. This is due to the COVID-19 lockdowns, which forced several businesses to switch to online services instantly. Several cloud platforms have failed to support adequate services, especially for extended and real-time-based applications. Early testing of the available platforms guarantees a level of suitability and reliability for the uploaded services. In this work, we first selected two different API-based applications from education and professional taxonomies, the two most recently used applications that have switched to the cloud environment. Then, we aimed to evaluate the performance of different API-based applications under different cloud platforms, in order to measure and validate the ability of these platforms to support these services. The advantages and drawbacks of each platform were experimentally investigated for each application.

scholarly journals Addressing Semantics Standards for Cloud Portability and Interoperability in Multi Cloud Environment

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 317
Author(s):  
Chithambaramani Ramalingam ◽  
Prakash Mohan
Keyword(s):  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Environment ◽  
Cloud Service Providers ◽  
Application Programming ◽  
Increasing Demand ◽  
Programming Interfaces ◽  
Multi Cloud

The increasing demand for cloud computing has shifted business toward a huge demand for cloud services, which offer platform, software, and infrastructure for the day-to-day use of cloud consumers. Numerous new cloud service providers have been introduced to the market with unique features that assist service developers collaborate and migrate services among multiple cloud service providers to address the varying requirements of cloud consumers. Many interfaces and proprietary application programming interfaces (API) are available for migration and collaboration services among cloud providers, but lack standardization efforts. The target of the research work was to summarize the issues involved in semantic cloud portability and interoperability in the multi-cloud environment and define the standardization effort imminently needed for migrating and collaborating services in the multi-cloud environment.

Receiver Initiated Deadline Aware Load Balancing Strategy (RDLBS) for Cloud Environment

2017 ◽  
Vol 8 (3) ◽  
pp. 53-73
Author(s):  
Raza Abbas Haidri ◽  
Chittaranjan Padmanabh Katti ◽  
Prem Chandra Saxena
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Load Balancing ◽  
Virtual Machines ◽  
Turnaround Time ◽  
Cloud Environment ◽  
Computing Technology ◽  
Trade Off ◽  
The Cost ◽  
State Of Art

The emerging cloud computing technology is the attention of both commercial and academic spheres. Generally, the cost of the faster resource is more than the slower ones, therefore, there is a trade-off between deadline and cost. In this paper, the authors propose a receiver initiated deadline aware load balancing strategy (RDLBS) which tries to meet the deadline of the requests and optimizes the rate of revenue. RDLBS balances the load among the virtual machines (VMs) by migrating the request from the overloaded VMs to underloaded VMs. Turnaround time is also computed for the performance evaluation. The experiments are conducted by using CloudSim simulator and results are compared with existing state of art algorithms with similar objectives.

scholarly journals Performance Evaluation of SUMEGHA Cloud Computing Environment: Methodologies & Tool

2019 ◽  
Vol 8 (12) ◽  
pp. 875-880
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Software As A Service ◽  
Automated Testing ◽  
Cloud Environment ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Platform As A Service ◽  
Testing Tools ◽  
Manual Testing

Cloud ecosystem basically offers Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Software as a Service (SaaS). This paper describes the testing process employed for testing the C-DAC cloud SuMegha. Though new tools for the testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automated testing tools. This paper brings out the techniques best suited to test different features of Cloud computing environment. It offers a comparison of several tools which enhance the testing process at each level. The authors also try to bring out (recommend) broad guidelines to follow while setting up a cloud environment to reduce the number of bugs in the system

scholarly journals Security challenges and solutions using healthcare cloud computing

2021 ◽  
Vol 14 (4) ◽  
pp. 448-461
Author(s):  
Mohammad Mehrtak ◽  
◽  
SeyedAhmad SeyedAlinaghi ◽  
Mehrzad MohsseniPour ◽  
Tayebeh Noori ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Secure Communication ◽  
Cloud Security ◽  
Data Encryption ◽  
Cloud Infrastructure ◽  
Security Issues ◽  
Security Challenges ◽  
Application Programming ◽  
Programming Interfaces

Cloud computing is among the most beneficial solutions to digital problems. Security is one of the focal issues in cloud computing technology, and this study aims at investigating security issues of cloud computing and their probable solutions. A systematic review was performed using Scopus, Pubmed, Science Direct, and Web of Science databases. Once the title and abstract were evaluated, the quality of studies was assessed in order to choose the most relevant according to exclusion and inclusion criteria. Then, the full texts of studies selected were read thoroughly to extract the necessary results. According to the review, data security, availability, and integrity, as well as information confidentiality and network security, were the major challenges in cloud security. Further, data encryption, authentication, and classification, besides application programming interfaces (API), were security solutions to cloud infrastructure. Data encryption could be applied to store and retrieve data from the cloud in order to provide secure communication. Besides, several central challenges, which make the cloud security engineering process problematic, have been considered in this study.

Cloud Computing Forensics

2015 ◽  
pp. 323-331
Author(s):  
Mario A. Garcia
Keyword(s):  
Cloud Computing ◽  
Digital Media ◽  
Digital Forensics ◽  
Forensic Analysis ◽  
Cloud Environment ◽  
Malicious Activity ◽  
Cloud Application ◽  
Chain Of Custody ◽  
A Chain ◽  
A Company

As computer technology evolved over the last 30 years, so did the opportunity to use computers to break the law. Out of necessity, digital forensics was birthed. Computer forensics is the practice of extracting information from the digital media in order to prosecute the individuals that carried out the crime. Forensic challenges presented by cloud computing are vast and complex. If a company becomes the target of a digital criminal investigation and they are using cloud computing, some unique challenges are faced by a digital forensics examiner. The data in the cloud only represents a “snapshot” of when it was sent to the cloud. Establishing a chain of custody for the data would become difficult or impossible if its integrity and authenticity cannot be fully determined. There are also potential forensic issues when the customer or user exits a cloud application. Items subject to forensic analysis, such as registry entries, temporary files, and other artifacts are lost, making malicious activity difficult to prove. The challenges of applying forensics to a cloud environment are tied to cloud security. This chapter discusses securing a cloud environment and how that would help with the forensic analysis.

Cloud Computing Forensics

2014 ◽  
pp. 170-178
Author(s):  
Mario A. Garcia
Keyword(s):  
Cloud Computing ◽  
Digital Media ◽  
Digital Forensics ◽  
Forensic Analysis ◽  
Cloud Environment ◽  
Malicious Activity ◽  
Cloud Application ◽  
Chain Of Custody ◽  
A Chain ◽  
A Company

As computer technology evolved over the last 30 years, so did the opportunity to use computers to break the law. Out of necessity, digital forensics was birthed. Computer forensics is the practice of extracting information from the digital media in order to prosecute the individuals that carried out the crime. Forensic challenges presented by cloud computing are vast and complex. If a company becomes the target of a digital criminal investigation and they are using cloud computing, some unique challenges are faced by a digital forensics examiner. The data in the cloud only represents a “snapshot” of when it was sent to the cloud. Establishing a chain of custody for the data would become difficult or impossible if its integrity and authenticity cannot be fully determined. There are also potential forensic issues when the customer or user exits a cloud application. Items subject to forensic analysis, such as registry entries, temporary files, and other artifacts are lost, making malicious activity difficult to prove. The challenges of applying forensics to a cloud environment are tied to cloud security. This chapter discusses securing a cloud environment and how that would help with the forensic analysis.

scholarly journals An exploratory study on machine learning frameworks

2019 ◽  
Author(s):  
Caio Flexa ◽  
Walisson Gomes ◽  
Sergio Viademonte
Keyword(s):  
Machine Learning ◽  
Exploratory Study ◽  
Preliminary Evaluation ◽  
Application Programming Interfaces ◽  
Short Period ◽  
Application Programming ◽  
Preliminary Study ◽  
Developing System ◽  
Learning Frameworks ◽  
Programming Interfaces

This document describes a preliminary study on computing frameworks and technologies, for the purpose of developing machine learning (ML) system applications. Several frameworks, application programming interfaces and programming libraries for ML algorithms have been developed in the last few years, in a relatively short period of time, making difficult a decision on which one to chose in a particular application. This study reviews some criteria and performs a preliminary evaluation of some of the most used ML technologies for developing system applications, with the purpose to guide and facilitate the decision on which of them to apply, given a particular application.

scholarly journals A Conceptual Paper on Multi-Scale Applications in Cloud Environment with Reference to Variety of Data

2020 ◽  
Vol 9 (5) ◽  
pp. 1229-1235
Keyword(s):  
Cloud Computing ◽  
Multiple Scales ◽  
Review Literature ◽  
Cloud Environment ◽  
Multi Scale ◽  
Cloud Application ◽  
Conceptual Paper ◽  
Spatio Temporal ◽  
Definition Of ◽  
New Research

Developments in Cloud Computing has opened up new avenues for cutting – edge technology applications. It is the conventional technology that deploys the applications and services on internet servers instead of traditional servers. Software-as-a-Service (SaaS) allows access to a variety of applications on the cloud commonly known as Multi-scale applications. Social and Professional media like Whatsapp, Facebook, Twitter, Instagram, LinkedIn, ResearchGate etc. have migrated to cloud. The terms scale and scalability in cloud environment has been used in different contexts. The applications can be scaled up or down based on the network traffic scenario, and has thus opened up a Pandora’s Box in new research and development of multi–scale cloud based applications. This conceptual paper attempts to review literature across various domains where the term multi-scale, scaling, cloud based application have been used and arrive at a reasonable, crisp, concise yet accurate definition of the term multi – scale and multi–scale cloud application. The term “Multi – Scale” is used in various fields referring to multiple scales applied to arrive at solutions to spatio-temporal problems. This conceptual paper attempts to associate a formal definition to the term “multi-scale cloud application” in the cloud computing world. The proposed definition of the said term is extremely relevant in the context of multi–scale applications developed in recent times.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

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