Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Stanko Novakovic"'
Autor:
Stanko Novakovic, Alexandros Daglis, Edouard Bugnion, Boris Grot, Babak Falsafi, Dmitrii Ustiugov
Publikováno v:
ACM Transactions on Computer Systems. 36:1-37
To provide low-latency and high-throughput guarantees, most large key-value stores keep the data in the memory of many servers. Despite the natural parallelism across lookups, the load imbalance, introduced by heavy skew in the popularity distributio
Autor:
Haggai Eran, Michael Cui, Boris Pismenny, Yiying Zhang, Michael Wei, Marcos K. Aguilera, Liran Liss, Aasheesh Kolli, Dan Tsafrir, Stanko Novakovic, Yizhou Shan
Publikováno v:
SYSTOR
RDMA technology enables a host to access the memory of a remote host without involving the remote CPU, improving the performance of distributed in-memory storage systems. Previous studies argued that RDMA suffers from scalability issues, because the
Publikováno v:
HotOS
Technologies like RDMA and Gen-Z, which give access to memory outside the box, are gaining in popularity. These technologies provide the abstraction of far memory, where memory is attached to the network and can be accessed by remote processors witho
Publikováno v:
Novakovic, S, Daglis, A, Bugnion, E, Falsafi, B & Grot, B 2016, The Case for RackOut: Scalable Data Serving Using Rack-Scale Systems . in SoCC '16 Proceedings of the Seventh ACM Symposium on Cloud Computing . pp. 182-195, Seventh ACM Symposium on Cloud Computing, Santa Clara, United States, 5/10/16 . https://doi.org/10.1145/2987550.2987577
SoCC
SoCC
To provide low latency and high throughput guarantees, most large key-value stores keep the data in the memory of many servers. Despite the natural parallelism across lookups, the load imbalance, introduced by heavy skew in the popularity distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9f3bb808f8b6736570bbfce30b6ee09
https://www.pure.ed.ac.uk/ws/files/27446201/RACKOUT_SOCC16.pdf
https://www.pure.ed.ac.uk/ws/files/27446201/RACKOUT_SOCC16.pdf
Publikováno v:
Daglis, A, Novakovic, S, Bugnion, E, Falsafi, B & Grot, B 2015, Manycore Network Interfaces for In-Memory Rack-Scale Computing . in The 42nd International Symposium on Computer Architecture (ISCA 2015) .
ISCA
ISCA
Datacenter operators rely on low-cost, high-density technologies to maximize throughput for data-intensive services with tight tail latencies. In-memory rack-scale computing is emerging as a promising paradigm in scale-out datacenters capitalizing on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a0ba6a519e81c2c6dcc4a609aa2d8c1
Publikováno v:
ASPLOS
Novakovic, S, Daglis, A, Bugnion, E, Falsafi, B & Grot, B 2014, Scale-out NUMA . in Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems . ACM SIGPLAN Notices, no. 4, vol. 49, New York, NY, USA, pp. 3-17 . https://doi.org/10.1145/2541940.2541965
Novakovic, S, Daglis, A, Bugnion, E, Falsafi, B & Grot, B 2014, Scale-out NUMA . in Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems . ACM SIGPLAN Notices, no. 4, vol. 49, New York, NY, USA, pp. 3-17 . https://doi.org/10.1145/2541940.2541965
Emerging datacenter applications operate on vast datasets that are kept in DRAM to minimize latency. The large number of servers needed to accommodate this massive memory footprint requires frequent server-to-server communication in applications such
Autor:
Babak Falsafi, Boris Grot, Edouard Bugnion, Dmitrii Ustiugov, Stanko Novakovic, Alexandros Daglis
Publikováno v:
Daglis, A, Ustiugov, D, Novakovic, S, Bugnion, E, Falsafi, B & Grot, B 2016, SABRes: Atomic Object Reads for In-Memory Rack-Scale Computing . in In Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2016) . Institute of Electrical and Electronics Engineers (IEEE), Taipei, Taiwan, 49th Annual IEEE/ACM International Symposium on Microarchitecture, Taipei, Taiwan, Province of China, 15/10/16 . https://doi.org/10.1109/MICRO.2016.7783709
Modern in-memory services rely on large distributed object stores to achieve the high scalability essential to service thousands of requests concurrently. The independent and unpredictable nature of incoming requests results in randomaccesses to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eade720b400b838d5eae7c7b9ad7d82
https://infoscience.epfl.ch/record/220614
https://infoscience.epfl.ch/record/220614