Performance characterization of a Quad Pentium Pro SMP using OLTP workloads
Proceedings of the 25th annual international symposium on Computer architecture
Performance of database workloads on shared-memory systems with out-of-order processors
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Exploiting Platform Heterogeneity for Power Efficient Data Centers
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments
ISCA '08 Proceedings of the 35th Annual International Symposium on Computer Architecture
The PARSEC benchmark suite: characterization and architectural implications
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
COTSon: infrastructure for full system simulation
ACM SIGOPS Operating Systems Review
FAWN: a fast array of wimpy nodes
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
Green clouds and black swans in the exascale era
IISWC '09 Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC)
Energy-efficient cluster computing with FAWN: workloads and implications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Web search using mobile cores: quantifying and mitigating the price of efficiency
Proceedings of the 37th annual international symposium on Computer architecture
The search for energy-efficient building blocks for the data center
ISCA'10 Proceedings of the 2010 international conference on Computer Architecture
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The amount of data produced on the internet is growing rapidly. Along with data explosion comes the trend towards more and more diverse data, including rich media such as audio and video. Data explosion and diversity leads to the emergence of data-centric workloads to manipulate, manage and analyze the vast amounts of data. These data-centric workloads are likely to run in the background and include application domains such as data mining, indexing, compression, encryption, audio/video manipulation, data warehousing, etc. Given that datacenters are very much cost sensitive, reducing the cost of a single component by a small fraction immediately translates into huge cost savings because of the large scale. Hence, when designing a datacenter, it is important to understand data-centric workloads and optimize the ensemble for these workloads so that the best possible performance per dollar is achieved. This paper studies how the emerging class of data-centric workloads affects design decisions in the datacenter. Through the architectural simulation of minutes of run time on a validated full-system x86 simulator, we derive the insight that for some data-centric workloads, a high-end server optimizes performance per total cost of ownership (TCO), whereas for other workloads, a low-end server is the winner. This observation suggests heterogeneity in the datacenter, in which a job is run on the most cost-efficient server. Our experimental results report that a heterogeneous datacenter achieves an up to 88%, 24% and 17% improvement in cost-efficiency over a homogeneous high-end, commodity and low-end server datacenter, respectively.