The Study on Capacity Enhancement of Distributed Systems Cloud Services
Xueping Liu · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2014
With the Number of users in distributed systems clouds rapidly growing every day, increased workload, data and network traffic are seen in the clouds.The SNP (socialnet processor) part would become the bottleneck probably as it interacts with social-net providers super frequently.This need to be evaluated pro-actively and coped with before the whole cloud gets crashed due to the huge increased burden.Adding new cloud with additional hardware and equipments is a way but quite costly.As a more practical approach, optimizing existing system to lift the capacity will be extremely beneficial.This involves improving parts of system infrastructure and workflow, fully utilizing cloud resources and balancing the cooperation among components such as SNP, Core Service, DB, Memcache etc. problem identification, performance or capacity modeling, solution design and implementation, and change impact assessment are the main work-streams.This paper will detail the useful principles and proven practices applied to the optimization.