Feasibility Study of Backtracking Algorithm for Virtual Cluster Migration in Cloud Computing

Abstract

Cloud Computing (CC) is an emerging field in which research scholars from academia and industry professional contribute their knowledge to understand and propagate the dimensions of its applications. One of the popular services in CC is Infrastructures as a Service (IaaS) by which the customers can rent a highly configured server, storageetc. from the providers. On the provider's side in order to maintain the numerous servers for myriad reasons like load balancing, faulttolerance, complying to the Service Level Agreements(SLA), they have to migrate these servers from one Physical Machine(PM) to another PM. A Backtracking algorithm is proposed and its feasibility study is done by comparing the approach and working with various similar existing algorithms.

Determinants of College Students’ Online Fragmented Learning Effect: An Analysis of Teaching Courses on Scientific Research Software on the Bilibili Platform

“…Secondly, college students should learn to make reasonable use of their fragmented time for learning. For example, they could try to learn when riding the bus or subway and during recess time in between classes [56], as this would encourage learning TCSRS on the online platform anytime, helping to form the habit of using their fragmentation time to develop sustainable online fragmentation learning and maximizing their online fragmented time to improve their learning and achieve their goals.…”