Swarm Intelligent Techniques for Cloud Service Provider Selection in a Multi-cloud Environment

2020 ◽  
pp. 73-105
Author(s):  
Amany M. Mohamed ◽  
Hisham M. Abdelsalam
Keyword(s):  
Service Provider ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Multi Cloud

scholarly journals Energy Efficient Resource Allocation in Cloud Computing

2019 ◽  
Vol 8 (6S3) ◽  
pp. 2071-2074
Keyword(s):  
Virtual Machine ◽  
Service Provider ◽  
Physical System ◽  
Virtual Machines ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Host System ◽  
Physical Systems ◽  
Single Host

Cloud service provider in cloud environment will provide or provision resource based on demand from the user. The cloud service provider (CSP) will provide resources as and when required or demanded by the user for execution of the job on the cloud environment. The CSP will perform this in a static and dynamic manner. The CSP should also consider various other factors in order to provide the resources to the user, the prime among that will be the Service Level Agreement (SLA), which is normally signed by the user and cloud service provider during the inception phase of service. There are many algorithm which are used in order to allocate resources to the user in cloud environment. The algorithm which is proposed will be used to reduce the amount of energy utilized in performing various job execution in cloud environment. Here the energy utilized for execution of various jobs are taken into account by increasing the number of virtual machines that are used on a single physical host system. There is no thumb rule to calculate the number of virtual machines to be executed on a single host. The same can be derived by calculating the amount of space, speed required along with the time to execute the job on a virtual machine. Based up on this we can derive the number of Virtual machine on a single host system. There can be 10 virtual machines on a single system or even 20 number of virtual machines on single physical system. But if the same is calculated by the equation then the result will be exactly matching with the threshold capacity of the physical system[1]. If more number of physical systems are used to execute fewer virtual machines on each then the amount of energy consumed will be very high. So in order to reduce the energy consumption , the algorithm can be used will not only will help to calculate the number of virtual machines on single physical system , but also will help to reduce the energy as less number of physical systems will be in need[2].

Middleware architecture for data consistency in multi-cloud systems

2021 ◽  
Vol 1 (2 (6)) ◽  
Author(s):  
Olha Kozina ◽  
Volodymyr Panchenko ◽  
Oleksandr Rysovanyi
Keyword(s):  
Resource Management ◽  
Service Provider ◽  
Cloud Service ◽  
Management Control ◽  
Data Consistency ◽  
Data Recording ◽  
Cloud Service Provider ◽  
Cloud Systems ◽  
Multi Cloud

Multi-cloud middleware must perform many different resource management, control, and monitoring functions that must interoperate but may differ in implementation in each cloud service provider. A mechanism for monotonic recording model implementation for multi-cloud systems with a geo-distributed middleware architecture is proposed in the article. It is shown, the middleware modules location defines the algorithm of synchronization of start moments of adjusting intervals required to generating the global sequence numbers for customer's data recording into the databases of multi-cloud systems. Figs.: 2. Tabl.: 1. Refs.: 10 titles. Keywords: middleware architecture, geo-distributed middleware architecture, multicloud systems.

Trust Relationship Establishment Among Multiple Cloud Service Provider

2018 ◽  
pp. 351-384 ◽  
Author(s):  
Abhishek Majumder ◽  
Samir Nath ◽  
Arpita Bhattacharjee ◽  
Ranjita Choudhury
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Resource Request ◽  
Trust Relationships ◽  
Cloud Service Providers ◽  
Multiple Clouds ◽  
Multi Cloud ◽  
Identity Provider

Trust relationships among multiple Cloud Service Providers is a concept in which multiple cloud service providers from multiple distributed Identity Provider can access resources of each other, only if they are trusted with their Identity Provider. In this chapter a scheme has been proposed to enhance the security of data in a multi-cloud environment by improving trust relationships among multiple clouds. The scheme is also designed to overcome interoperability problem between different clouds. In the proposed scheme concept of proxy is used. Client organization tries to communicate with multiple cloud service providers through proxy. Client organization send resource request to cloud service providers. On receiving the resource request the cloud service provider collect the authentication confirmation from proxy. Then it sends the reply and data to requested client organization. Numerical analysis and comparative study of the proposed scheme with some of the existing scheme has been carried out.

Trust Relationship Establishment Among Multiple Cloud Service Provider

2019 ◽  
pp. 1548-1576
Author(s):  
Abhishek Majumder ◽  
Samir Nath ◽  
Arpita Bhattacharjee ◽  
Ranjita Choudhury
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Resource Request ◽  
Trust Relationships ◽  
Cloud Service Providers ◽  
Multiple Clouds ◽  
Multi Cloud ◽  
Identity Provider

Trust relationships among multiple Cloud Service Providers is a concept in which multiple cloud service providers from multiple distributed Identity Provider can access resources of each other, only if they are trusted with their Identity Provider. In this chapter a scheme has been proposed to enhance the security of data in a multi-cloud environment by improving trust relationships among multiple clouds. The scheme is also designed to overcome interoperability problem between different clouds. In the proposed scheme concept of proxy is used. Client organization tries to communicate with multiple cloud service providers through proxy. Client organization send resource request to cloud service providers. On receiving the resource request the cloud service provider collect the authentication confirmation from proxy. Then it sends the reply and data to requested client organization. Numerical analysis and comparative study of the proposed scheme with some of the existing scheme has been carried out.

A Comprehensive Survey on Trust Issue and Its Deployed Models in Computing Environment

2019 ◽  
pp. 127-139
Author(s):  
Shivani Jaswal ◽  
Gurpreet Singh
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Data Transfer ◽  
Cloud Service ◽  
Third Party ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Security Issues ◽  
Comprehensive Survey ◽  
Trust Models

Cloud computing is growing with a giant pace in today's world. The speed with which it is growing, the same speed is taken over by the insecure data transfer over the cloud. There are many security issues that are underlying in cloud computing. This chapter presents how a trust is built between any user and a cloud service provider. Various techniques have been adopted to calculate the value of trust and further how it can be strength. This chapter has also explained various trust models based on the necessities of a user. This chapter has also thrown some light over the concept of TTP, i.e., Trusted Third Party which further helps in maintaining trust over the cloud environment.

A Comprehensive Survey on Trust Issue and Its Deployed Models in Computing Environment

2018 ◽  
pp. 150-166
Author(s):  
Shivani Jaswal ◽  
Gurpreet Singh
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Data Transfer ◽  
Cloud Service ◽  
Third Party ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Security Issues ◽  
Comprehensive Survey ◽  
Trust Models

Cloud computing is growing with a giant pace in today's world. The speed with which it is growing, the same speed is taken over by the insecure data transfer over the cloud. There are many security issues that are underlying in cloud computing. This chapter presents how a trust is built between any user and a cloud service provider. Various techniques have been adopted to calculate the value of trust and further how it can be strength. This chapter has also explained various trust models based on the necessities of a user. This chapter has also thrown some light over the concept of TTP, i.e., Trusted Third Party which further helps in maintaining trust over the cloud environment.

scholarly journals Study of Security Mechanisms to Create a Secure Cloud in a Virtual Environment with the Support of Cloud Service Providers

2020 ◽  
Vol 2 (3) ◽  
pp. 148-154
Author(s):  
S. Stewart Kirubakaran
Keyword(s):  
Virtual Environment ◽  
Real World ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
The Real ◽  
Cloud Service Providers

In this paper, we are focussing on creating a secure cloud environment with the help of the cloud service provides. Nowadays, the demand for the cloud increases and all the business are transferred to the cloud environment. When a greater number of people get involved, security matters a lot. This paper emphases on secured cloud environment by creating a trusted relationship with the cloud service provider and also by comparing the current security mechanisms applied in the real-world businesses. This paper helps the readers to understand the need of security mechanisms in the cloud environment and the need for the SLAs with the trusted Cloud Service Providers.

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

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.

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