• Publications
  • Influence
See Spot Run: Using Spot Instances for MapReduce Workflows
TLDR
We use SIs as accelerators of the MapReduce process and find that by doing so we can significantly speed up overall Map Reduce time. Expand
  • 195
  • 12
  • PDF
Cache-conscious data placement
TLDR
We present a general framework for Cache Conscious Data Placement that creates an address placement for the stack (local variables), global variables, heap objects, and constants in order to reduce data cache misses. Expand
  • 286
  • 8
  • PDF
Paravirtualization for HPC Systems
TLDR
We present a comprehensive performance evaluation of Xen, a low-overhead, Linux-based, virtual machine monitor, for paravirtualization of HPC cluster systems at LLNL. Expand
  • 122
  • 5
  • PDF
Reducing the overhead of dynamic compilation
TLDR
In this paper we present two dynamic compilation techniques that enable high performance execution while reducing the effect of compilation overhead. Expand
  • 70
  • 5
  • PDF
Using bandwidth data to make computation offloading decisions
TLDR
We present a framework for making computation offloading decisions in computational grid settings in which schedulers determine when to move parts of a computation to more capable resources to improve performance. Expand
  • 137
  • 4
  • PDF
An Evaluation of Distributed Datastores Using the AppScale Cloud Platform
TLDR
We present new cloud support that employs a single API -- the Datastore API from Google App Engine (GAE) -- to interface to different open source distributed database (DB) technologies. Expand
  • 65
  • 4
  • PDF
Adaptive on-the-fly compression
  • C. Krintz, S. Sucu
  • Computer Science
  • IEEE Transactions on Parallel and Distributed…
  • 2006
TLDR
We present a system called the adaptive compression environment (ACE) that automatically and transparently applies compression (on-the-fly) to a communication stream to improve network transfer performance. Expand
  • 43
  • 4
  • PDF
The AppScale Cloud Platform: Enabling Portable, Scalable Web Application Deployment
  • C. Krintz
  • Computer Science, Medicine
  • IEEE Internet Computing
  • 1 March 2013
TLDR
AppScale is an open source distributed software system that implements a cloud platform as service (PaaS). Expand
  • 40
  • 4
  • PDF
AppScale: Scalable and Open AppEngine Application Development and Deployment
TLDR
We present the design and implementation of AppScale, an open source extension to the Google AppEngine (GAE) Platform-as- a-Service (PaaS) cloud technology. Expand
  • 118
  • 3
  • PDF
Using annotations to reduce dynamic optimization time
TLDR
We present an annotation framework that substantially reduces compilation overhead of Java programs by 78% and enables complex optimizations to be performed dynamically. Expand
  • 94
  • 3
  • PDF
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