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116 Results

June 1, 2012

Power and Performance Evaluation of Memcached on the TILEPro64 Architecture

Sustainable Computing: Informatics and Systems

Power consumption of data centers had become an important factor in the economy and sustainability of large-scale Web services. Researchers and practitioners are spending considerable effort to characterize Web-scale workloads and evaluating their applicability to alternative, more power-efficient architectures. One such workload in particular is the caching layer, which stores expensive-to-regenerate data in fast storage to reduce service times.

By: Mateusz Berezecki, Eitan Frachtenberg, Michael Paleczny, Ken Steele
May 1, 2012

Thermal Design in the Open Compute Datacenter

IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM)

The advent of Web-based services and cloud computing has instigated an explosive growth in demand for datacenters. Traditionally, Internet companies would lease datacenter space and servers from vendors that often emphasize flexibility over efficiency. But as these companies grew larger, they sought to reduce acquisition and operation costs by building their own datacenters.

By: Eitan Frachtenberg, Dan Lee, Marco Magarelli, Veerendra Mulay, Jay Park
April 25, 2012

PACMan: Coordinated Memory Caching for Parallel Jobs

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Data-intensive analytics on large clusters is important for modern Internet services. As machines in these clusters have large memories, in-memory caching of inputs is an effective way to speed up the…

By: Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
March 1, 2012

Predicting Memcache Throughput using Simulation and Modeling

IEEE Symposium on Theory of Modeling and Simulation (TMS)

The current work introduces a method for predicting Memcached throughput on single-core and multi-core processors. The method is based on traces collected from a full system simulator running Memcached.

By: Steven Hart, Eitan Frachtenberg, Mateusz Berezecki
December 23, 2011

High-efficiency server design

ACM Conference on Supercomputing (ICS)

Large-scale datacenters consume megawatts in power and cost hundreds of millions of dollars to equip. Reducing the energy and cost footprint of servers can therefore have substantial impact.

By: Eitan Frachtenberg, Ali Heydari, Harry Li, Amir Michael, Jacob Na, Avery Nisbet, Pierluigi Sarti
July 1, 2011

Many-core key-value store

International Green Computing Conference (IGCC)

Scaling data centers to handle task-parallel workloads requires balancing the cost of hardware, operations, and power. Low-power, low-core-count servers reduce costs in one of these dimensions, but may require additional nodes to provide the required quality of service or increase costs by underutilizing memory and other resources.

By: Mateusz Berezecki, Eitan Frachtenberg, Michael Paleczny, Ken Steele
June 20, 2011

YSmart: Yet Another SQL-to-MapReduce Translator

International Conference on Distributed Computing Systems (ICDCS)

MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. However, based on our Face book daily operation results, certain types of queries are executed at an unacceptable low speed by Hive (a production SQL-to-MapReduce translator). In this paper, we demonstrate that existing SQL-to-MapReduce translators that operate in a one-operation-to-one-job mode and do not consider query correlations cannot generate high-performance MapReduce programs for certain queries, due to the mismatch between complex SQL structures and simple MapReduce framework. We propose and develop a system called Y Smart, a correlation aware SQL-to-MapReduce translator. Y Smart applies a set of rules to use the minimal number of MapReduce jobs to execute multiple correlated operations in a complex query. Y Smart can significantly reduce redundant computations, I/O operations and network transfers compared to existing translators. We have implemented Y Smart with intensive evaluation for complex queries on two Amazon EC2 clusters and one Face book production cluster. The results show that Y Smart can outperform Hive and Pig, two widely used SQL-to-MapReduce translators, by more than four times for query execution.

By: Rubao Lee, Tian Luo, Yin Huai, Fusheng Wang, Yongqiang He, Xiaodong Zhang
June 12, 2011

Apache Hadoop goes realtime at Facebook

ACM Special Interest Group on Management of Data (SIGMOD)

Facebook recently deployed Facebook Messages, its first ever user-facing application built on the Apache Hadoop platform. Apache HBase is a database-like layer built on Hadoop designed to support billions of messages per day.

By: Dhruba Borthakur, Joydeep Sen Sarma, Jonathan Gray, Kannan Muthukkaruppan, Nicolas Spiegelberg, Hairong Kuang, Karthik Ranganathan, Dmytro Molkov, Aravind Menon, Samuel Rash, Rodrigo Schmidt, Amitanand Aiyer
April 10, 2011

Facebook Immune System

Workshop on Social Network Systems (SNS)

Popular Internet sites are under attack all the time from phishers, fraudsters, and spammers. They aim to steal user information and expose users to unwanted spam. The attackers have vast resources at their disposal. They are well-funded, with full-time skilled labor, control over compromised and infected accounts, and access to global botnets.

By: Tao Stein, Roger Chen, Karan Mangla
March 30, 2011

FATE and DESTINI: A Framework for Cloud Recovery Testing

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

As the cloud era begins and failures become commonplace, the fate and destiny of availability, reliability and performance are in the hands of failure recovery. Unfortunately, recovery problems still take place, causing downtimes, data loss, and many other problems.

By: Haryadi S. Gunawi, Thanh Do, Pallavi Joshi, Peter Alvaro, Joseph M. Hellerstein, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Koushik Sen, Dhruba Borthakur