Cognitive workload management on globally interoperable network of clouds. (9th August 2019)

• Record Type: Journal Article
• Authors: Morana, Giovanni; Mikkilineni, Rao; Keshan, Surendra
• Is Part Of: International journal of grid and utility computing. Volume 10:Number 6(2019)
• Page Start: 586
• Page End: 592
• Publication Date: 2019-08-09
• Subjects: ABS -- Turing machine -- cloud computing -- edge cloud -- quality of service -- self-managing workloads -- datacentre; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

A new computing paradigm using Distributed Intelligent Managed Elements (DIME) and DIME Network Architecture (DNA) is used to demonstrate globally interoperable public and private cloud network deploying cloud agnostic workloads. The workloads are cognitive and able to adjust autonomously their structure and maintain desired quality-of-service (QoS). DNA is designed to provide a control architecture for workload self-management of non-functional requirements to address rapid fluctuations either in workload demand or fluctuations in available resources. Using DNA, a transaction intensive three-tier workload is migrated from a physical server to a virtual machine hosted in a public cloud without interrupting the service transactions. After migration, cloud agnostic inter-cloud and intra-cloud auto-scaling, auto- failover and live migration are demonstrated again, without disrupting the user experience or losing transactions.