datacenter

Bolt: I Know What You Did Last Summer... In The Cloud
Cloud providers routinely schedule multiple applications per physical host to increase efficiency. The resulting interference on shared …
Christina Delimitrou, Christos Kozyrakis
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Improving Resource Efficiency at Scale with Heracles
User-facing, latency-sensitive services, such as websearch, underutilize their computing resources during daily periods of low traffic. …
David Lo, Liqun Cheng, Rama Govindaraju, Parthasarathy Ranganathan, Christos Kozyrakis
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Flash Storage Disaggregation
PCIe-based Flash is commonly deployed to provide datacenter applications with high IO rates. However, its capacity and bandwidth are …
Ana Klimovic, Christos Kozyrakis, Eno Thereska, Binu John, Sanjeev Kumar
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HCloud: Resource-Efficient Provisioning in Shared Cloud Systems
Cloud computing promises flexibility and high performance for users and cost efficiency for operators. To achieve this, cloud providers …
Christina Delimitrou, Christos Kozyrakis
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QoS-Aware Scheduling in Heterogeneous Datacenters with Paragon
Large-scale datacenters (DCs) host tens of thousands of diverse applications each day. However, interference between colocated …
Christina Delimitrou, Christos Kozyrakis
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Paragon: QoS-Aware Scheduling for Heterogeneous Datacenters
Large-scale datacenters (DCs) host tens of thousands of diverse applications each day. However, interference between colocated …
Christina Delimitrou, Christos Kozyrakis
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Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads
Large-scale TPC workloads are critical for the evaluation of datacenter-scale storage systems. However, these workloads have not been …
Christina Delimitrou, Sriram Sankar, Badriddine Khessib, Kushagra Vaid, Christos Kozyrakis
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Cross-Examination of Datacenter Workload Modeling Techniques
Data center workload modeling has become a necessity in recent years due to the emergence of large-scale applications and cloud …
Christina Delimitrou, Christos Kozyrakis
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