A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence

Chhetri, Tek Raj; Dehury, Chinmaya Kumar; Lind, Artjom; Srirama, Satish Narayana; Fensel, Dieter

doi:10.3390/bdcc6010026

Cited by 4 publications

(1 citation statement)

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“…The paper focuses on fully substantiating the hypothesis using data analysis, a correlation study and experimental findings based on our data collected from 100 cloud servers. The authors illustrated the competitive advantage of integrated metrics [21].…”

Section: Related Workmentioning

confidence: 99%

Project Management for Cloud Compute and Storage Deployment: B2B Model

Tanwar¹,

Kumar²,

Mohamed

et al. 2022

Processes

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This paper explains the project’s objectives, identifies the key stakeholders, defines the project manager’s authority and provides a preliminary breakdown of roles and responsibilities. For the project’s future, it acts as a source of authority. This paper’s objective is to record the justifications for starting the project, its goals, limitations, solution instructions and the names of the principal stakeholders. This manuscript is meant to be used as a “Project Management Plan Light” for small and medium-sized projects when it would be uneconomical to prepare an entire collection of documents that make up a project management plan. A global media cloud will be provided and managed by the ABC cloud company inside of a consumer’s current premises. In this paper, the authors explain the end-to-end delivery of cloud and compute services. The article mainly focuses on the delivery of virtual machines (VMs), graphics processing unit (GPUs), cloud storage, transcoding, packaging, 24/7 customer support and billing modules for the services used by end customers. The process starts with customer requirements gathering to initiate the feasibility check for the services desired or required by the clients. Pre-sale solution engineers capture all the customer requirements in the solution design document to review with the engineering and delivery team for the implementation. Based on the solution design document, the solution engineer needs to raise the system’s feasibility for the local loops, cross connects, VMs, GPUs, storage, transcoders and packagers required to meet the end customer expectations on the service delivery. The solution engineer must sign-off on the solution design document agreed with end customer from the engineering and technical team. The program manager and technical team review the solution design document and confirm the order ID requirement in the system for the sales team to share with the order entry team to log the orders for a signed customer order form (COF). The program manager will initiate the service delivery for these order IDs logged in to the system for these services. Once services are ready for customer delivery, a technical team will share the customer portal with the end customer and provide training to the teams at the customer end use the required resources for cloud, compute and storage uses. Along with the services mentioned above, customers can access the usage and billing information in the customer portal. Moreover, the program manager is to share the project closure document, including the information about the services, reference IDs to log the trouble ticket with the supplier’s 24/7 support team and billing start date for customer acceptance.

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Section: Related Workmentioning

confidence: 99%