Performance Tuning of High Performance Computing Applications

Abstract

Over past few years, cloud computing has gained more attention dueto its numerous potential benefits over conventional distributed systems.Several organizations are in need to set up their own private with cloudInfrastructure as a Service (IaaS) as open source frameworks. As businessapplications and information are moved to the private cloud, it is essential toconsider the performance of cloud environment for both cloud users and cloudservice providers. Some of the recent technologies such as distributed datastorage and management frameworks required to adapt at such level with some newlinedifficulties like the data sizes and operating performance which are involvingthe increase of big data. Currently, the distributed services of data storage arein operation which is moderately novel and still advancing. Up until now, theyhave been typically concentrated on the necessities of business applications,focusing to render essential operability in a dependable and secure manner.In large scale cloud networks, the support of data-intensiveapplications increases their requirements to mention the few difficulties. It iscomplex to localize, manage, move and process a huge amount of gathered data newlinewhich cannot be openly managed by the applications and users. In this manner,the data management frameworks should officially deal with theseperspectives, utilizing a uniform perspective of the storage space forapplications, without regarding the scale where information is disseminated. newline newline