Book ChapterDOI
Automated Resource Management on AWS Cloud Platform
Simeen Sheikh,G. Suganya,Premalatha M +2 more
- Vol. 164, pp 133-147
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TLDR
Various automation methods, cloud tools and resources used to automate resource management and monitoring on cloud are described to help in Cost optimization of the Industry.Abstract:
Terraform helps in building an Infrastructure for the Cloud Environment as a code. Management of the cloud infrastructure is an important and difficult task as the environment has a huge number of resources and maintaining, monitoring and cleansing of resources in each and every region will take up a lot of human effort and time. The work environment consists of number of instances and volumes made by many developers but it is necessary to keep a track on which user is making the Resources. This paper describes various automation methods, cloud tools and resources used to automate resource management and monitoring on cloud. The code has been developed on Amazon Web Services (AWS) Lambda for the serverless approach. The Lambda function gets triggered by various CloudWatch Events according to its Rule. The automation is to monitor the EC2 resources and provide Tag to know who has created the instance or EBS Volume and also to notify about the resources as well as deleting the resources. Jenkins is a software which supports continuous integration for faster delivery. The resource management on the Cloud platform is a difficult task. Hence, in the rapid growth on industries resulting in huge environment to be maintained, automated strategies are necessary for management of resources and will also help in Cost optimization of the Industry.read more
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Journal ArticleDOI
Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis
TL;DR: A comprehensive review along with a taxonomy of the most recent existing autonomic and elastic RM techniques in a cloud environment is presented to ensure the Quality-of-Service (QoS) of cloud-based applications, satisfy the cloud user requirements, and avoid a Service-Level Agreement (SLA) violations.
References
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Journal ArticleDOI
Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
TL;DR: This paper focuses on some of the important resource management techniques such as resource provisioning, resource allocation, resource mapping and resource adaptation for IaaS in cloud computing.
Proceedings ArticleDOI
Serverless Computing: Design, Implementation, and Performance
Garrett McGrath,Paul Brenner +1 more
TL;DR: The design of a novel performance-oriented serverless computing platform implemented in.
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Recent security challenges in cloud computing
TL;DR: This paper will focus and explore the security challenges that are faced by cloud entities, focusing on the crypto-cloud that constitutes of different Communication, Computation, and Service Level Agreement.
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Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions
TL;DR: A prototype workflow executor functions using AWS Lambda and Google Cloud Functions, coupled with the HyperFlow workflow engine are developed, which can run workflow tasks in AWS and Google infrastructures, and feature such capabilities as data staging to/from S3 or Google Cloud Storage and execution of custom application binaries.
Proceedings ArticleDOI
DevOps: introducing infrastructure-as-code
TL;DR: All necessary elements and abstractions in writing and maintaining that blueprint revolving around a key standard for its expression, namely, the OASIS "Topology and Orchestration Specification for Cloud Applications" (TOSCA) industrial standard are discussed.