Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Riza O. Suminto"'
Publikováno v:
2020 7th International Conference on Advance Informatics: Concepts, Theory and Applications (ICAICTA).
The use of distributed system nowadays has vastly increased because of the ability to utilize multiple nodes efficiently on big data processing. One of the widely used distributed system framework is Hadoop. For more than a decade, Hadoop had overcom
Autor:
Nematollah Bidokhti, Caitie McCaffrey, Gary Grider, Andree Jacobson, Tim Emami, Deepthi Srinivasan, Riza O. Suminto, Peter Alvaro, Casey Golliher, Robert Ross, Biswaranjan Panda, Kevin Harms, Xing Lin, Robert Ricci, H. Birali Runesha, Russell Sears, Huaicheng Li, Haryadi S. Gunawi, Andrew D. Baptist, Kirk Webb, Weiguang Sheng, Mingzhe Hao, Swaminathan Sundararaman, Parks Fields
Publikováno v:
ACM Transactions on Storage. 14:1-26
Fail-slow hardware is an under-studied failure mode. We present a study of 114 reports of fail-slow hardware incidents, collected from large-scale cluster deployments in 14 institutions. We show that all hardware types such as disk, SSD, CPU, memory,
Autor:
Chen Tian, Aarti Gupta, Shan Lu, Haryadi S. Gunawi, Satria Priambada, Huan Ke, Cesar A. Stuardo, Dikaimin Simon, Feng Ye, Tanakorn Leesatapornwongsa, Daniar Heri Kurniawan, Jeffrey F. Lukman, Riza O. Suminto
Publikováno v:
EuroSys
We present a fast and scalable testing approach for datacenter/cloud systems such as Cassandra, Hadoop, Spark, and ZooKeeper. The uniqueness of our approach is in its ability to overcome the path/state-space explosion problem in testing workloads wit
Publikováno v:
Middleware
Rivulet is a fault-tolerant distributed platform for running smart-home applications; it can tolerate failures typical for a home environment (e.g., link losses, network partitions, sensor failures, and device crashes). In contrast to existing cloud-
Autor:
Haryadi S. Gunawi, Andrew A. Chien, Huaicheng Li, Mingzhe Hao, Chrisma Pakha, Cesar A. Stuardo, Michael Hao Tong, Riza O. Suminto
Publikováno v:
SOSP
MittOS provides operating system support to cut millisecond-level tail latencies for data-parallel applications. In MittOS, we advocate a new principle that operating system should quickly reject IOs that cannot be promptly served. To achieve this, M
Autor:
Haryadi S. Gunawi, Cesar A. Stuardo, Maheswara Rao G. Uma, Vincentius Martin, Daniar Heri Kurniawan, Alexandra Clark, Bo Fu, Riza O. Suminto, Huan Ke, Tanakorn Leesatapornwongsa
Publikováno v:
SoCC
We reveal loopholes of Speculative Execution (SE) implementations under a unique fault model: node-level network throughput degradation. This problem appears in many data-parallel frameworks such as Hadoop MapReduce and Spark. To address this, we pre
Autor:
Tanakorn Leesatapornwongsa, Jeffrey F. Lukman, Huan Ke, Cesar A. Stuardo, Riza O. Suminto, Haryadi S. Gunawi
Publikováno v:
HotOS
We highlight the problem of scalability bugs, a new class of bugs that appear in "cloud-scale" distributed systems. Scalability bugs are latent bugs that are cluster-scale dependent, whose symptoms typically surface in large-scale deployments, but no
Autor:
Kurnia J. Eliazar, Riza O. Suminto, Agung Laksono, Anang D. Satria, Jeffry Adityatama, Haryadi S. Gunawi, Mingzhe Hao
Publikováno v:
SoCC
We conducted a cloud outage study (COS) of 32 popular Internet services. We analyzed 1247 headline news and public post-mortem reports that detail 597 unplanned outages that occurred within a 7-year span from 2009 to 2015. We analyzed outage duration