Methods and metrics for fair server assessment under real-time financial workloads

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

Energy efficiency has been a daunting challenge for datacenters. The financial industry operates some of the largest datacenters in the world. With increasing energy costs and the financial services sector growth, emerging financial analytics workloads may incur extremely high operational costs, to meet their latency targets. Microservers have recently emerged as an alternative to high-end serv...

Real-Time Storage Tiering for Real-World Workloads

Performance Analysis of Aerie under Mail Server Workloads

Inspite of the rapid advancements in storage technology, the fundamental architecture of storage in operating system remains fixed. Applications invoke the kernel to store and retrieve data and kernel invokes the file system. Recent work suggests a new class of memory called storage class memory(SCM) which blurs out the distinction between fast, expensive and volatile memory, and slow, cheap an...

Evaluation of ESX Server Under CPU Intensive Workloads

We present a summary of our evaluation of VMWare ESX Server 2.5.2. In particular we confirm and work around known timing issues with guest operating systems running on ESX server. Our work validates and adds to the work of other groups modeling the behavior of ESX Server during CPU intensive workloads by exploring in more detail the effects of Hyper-Threading and the overhead of Virtual SMP. We...

Methods and Metrics for Reliability Assessment

This paper deals with digital VLSI design aspects related to reliability. The focus is on the problem of reliability evaluation in combinational logic circuits. We present some methods for this evaluation that can be easily integrated in a tradidional design flow. Also we describe suitable metrics for performance estimation of concurrent error detection schemes.