Solving the I/O Bottlenecks in NextGen Data Centers and Cloud Computing

Virtualization brings tremendous advantages to cloud computing and data centers of all sizes – large and small. But unfortunately the rapid proliferation of virtual machines (VMs) per physical server, in its wake, creates a highly randomized I/O problem, raising performance bottlenecks and data management problems. To address this I/O issues, the CIOs and storage administrators have begun the adoption of a slew of newer technology solutions - ranging from faster and larger memories in cache, SSDs for higher IOPS, high bandwidth (10GbE) virtualized networks using NPIVs and shared storage systems along with embedded intelligent software to optimally manage the VM workloads – all in order to meet various SLA metrics of performance, availability, scalability and costs.

Learning Objectives

This presentation provides a simple and illustrative view of the impact of Server Virtualization on existing storage I/O solutions and the ensuing needs for best practices.
It delineates the roles, capabilities and cost effectiveness of emerging technologies in mitigating the I/O bottlenecks so the IT infrastructure implementers can achieve their targeted performance from their storage systems under various workloads, in virtualized data centers.
The audience will obtain a clear understanding of the issues related to Server and Storage Virtualization so as to ask incisive questions of their suppliers of IT Infrastructure Equipment, Server and Storage Virtualization and Data Storage Management software allowing them to manage their infrastructure implementation in order to achieve targeted results in performance, availability, costs and data management in their virtualized data centers