scholarly journals TOSCA-Based and Federation-Aware Cloud Orchestration for Kubernetes Container Platform

2019 ◽  
Vol 9 (1) ◽  
pp. 191 ◽  
Author(s):  
Dongmin Kim ◽  
Hanif Muhammad ◽  
Eunsam Kim ◽  
Sumi Helal ◽  
Choonhwa Lee
Keyword(s):  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Daunting Task ◽  
Cloud Service Providers ◽  
Service Areas ◽  
Sample Application ◽  
Container Orchestration ◽  
Auto Scaling ◽  
Cloud Applications

Kubernetes, a container orchestration tool for automatically installing and managing Docker containers, has recently begun to support a federation function of multiple Docker container clusters. This technology, called Kubernetes Federation, allows developers to increase the responsiveness and reliability of their applications by distributing and federating container clusters to multiple service areas of cloud service providers. However, it is still a daunting task to manually manage federated container clusters across all the service areas or to maintain the entire topology of cloud applications at a glance. This research work proposes a method to automatically form and monitor Kubernetes Federation, given application topology descriptions in TOSCA (Topology and Orchestration Specification for Cloud Applications), by extending the orchestration tool that automatizes the modeling and instantiation of cloud applications. It also demonstrates the successful federation of the clusters according to the TOSCA specifications and verifies the auto-scaling capability of the configured system through a scenario in which the servers of a sample application are deployed and federated.

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.

scholarly journals Micro Service Based System for Cost Based Selection of Cloud Provider Services

2020 ◽  
Vol 8 (5) ◽  
pp. 985-991
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Daily Basis ◽  
Cloud Services ◽  
Cloud Provider ◽  
Cloud Infrastructure ◽  
Cloud Service Providers ◽  
Architectural Framework ◽  
The Cost ◽  
Cloud Applications

The increase in the amount of data generated on a daily basis coupled with the need to store and manage this data has encouraged the organizations to adopt cloud computing. In order to ensure better availability and reliability of their data as well as resources, most of the organizations make use of one or more cloud service providers .But the use of cloud resources puts forth some challenges as well. One of the challenges is its detailed monitoring. As the number of services utilized by the cloud consumers goes on increasing, the number of logs and metrics generated by them also scales rapidly.The dynamic nature of cloud infrastructure and the variety of services offered by several cloud vendors demands a sophisticated mechanism to calculate and analyze the cost of using different services. The billing reports by the cloud service providers deliver statistics about the usage of resources and the costs associated with them. It contains large amount of data which needs to be processed in order to gain useful information. In this paper, we propose a micro service based architectural framework which gathers the data from two different cloud service providers. This data is not only stored but processed to generate reports to enable optimal use of cloud infrastructure. The use of microservices framework provides benefits and is a preferred framework for the development of cloud applications. The main aim of this work is to provide an integrated mechanism to enable the comparison of cost for using similar cloud services.

scholarly journals AUTO-SCALING AND ADJUSTMENT PLATFORM FOR CLOUD-BASED SYSTEMS

2017 ◽  
Vol 2 ◽  
pp. 52 ◽  
Author(s):  
Jānis Kampars ◽  
Krišjānis Pinka
Keyword(s):  
Real Time ◽  
Performance Metrics ◽  
Virtual Machines ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Infrastructure ◽  
Time Data ◽  
Cloud Service Providers ◽  
Auto Scaling

For customers of cloud-computing platforms it is important to minimize the infrastructure footprint and associated costs while providing required levels of Quality of Service (QoS) and Quality of Experience (QoE) dictated by the Service Level Agreement (SLA). To assist with that cloud service providers are offering: (1) horizontal resource scaling through provisioning and destruction of virtual machines and containers, (2) vertical scaling through changing the capacity of individual cloud nodes. Existing scaling solutions mostly concentrate on low-level metrics like CPU load and memory consumption which doesn’t always correlate with the level of SLA conformity. Such technical measures should be preprocessed and viewed from a higher level of abstraction. Application level metrics should also be considered when deciding upon scaling the cloud-based solution. Existing scaling platforms are mostly proprietary technologies owned by cloud service providers themselves or by third parties and offered as Software as a Service. Enterprise applications could span infrastructures of multiple public and private clouds, dictating that the auto-scaling solution should not be isolated inside a single cloud infrastructure. The goal of this paper is to address the challenges above by presenting the architecture of Auto-scaling and Adjustment Platform for Cloud-based Systems (ASAPCS). It is based on open-source technologies and supports integration of various low and high level performance metrics, providing higher levels of abstraction for design of scaling algorithms. ASAPCS can be used with any cloud service provider and guarantees that move from one cloud platform to another will not result in complete redesign of the scaling algorithm. ASAPCS itself is horizontally scalable and can process large amounts of real-time data which is particularly important for applications developed following the microservices architectural style. ASAPCS approaches the scaling problem in a nonstandard way by considering real-time adjustments of the application logic to be part of the scalability strategy if it can result in performance improvements.

scholarly journals Optimal Selection Techniques for Cloud Service Providers

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 203591-203618
Author(s):  
Giuseppe Tricomi ◽  
Giovanni Merlino ◽  
Alfonso Panarello ◽  
Antonio Puliafito
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Optimal Selection ◽  
Cloud Service Providers

SECURITY IN CLOUD COMPUTING IN INDIAN GOVERNMENT

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Nitin Vishnu Choudhari ◽  
Dr. Ashish B Sasankar
Keyword(s):  
Cloud Computing ◽  
Service Delivery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
End Users ◽  
Security Architecture ◽  
Security Measures ◽  
End User ◽  
Cloud Service Providers

Abstract –Today Security issue is the topmost problem in the cloud computing environment. It leads to serious discomfort to the Governance and end-users. Numerous security solutions and policies are available however practically ineffective in use. Most of the security solutions are centered towards cloud technology and cloud service providers only and no consideration has been given to the Network, accessing, and device securities at the end-user level. The discomfort at the end-user level was left untreated. The security of the various public, private networks, variety of devices used by end-users, accessibility, and capacity of end-users is left untreated. This leads towards the strong need for the possible modification of the security architecture for data security at all levels and secured service delivery. This leads towards the strong need for the possible adaption of modified security measures and provisions, which shall provide secured hosting and service delivery at all levels and reduce the security gap between the cloud service providers and end-users. This paper investigates the study and analyze the security architecture in the Cloud environment of Govt. of India and suggest the modifications in the security architecture as per the changing scenario and to fulfill the future needs for the secured service delivery from central up to the end-user level. Keywords: Cloud Security, Security in GI Cloud, Cloud Security measures, Security Assessment in GI Cloud, Proposed Security for GI cloud

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