Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lixiang Ao"'
Publikováno v:
Proceedings of the Seventeenth European Conference on Computer Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b598d396d27a34fd8f450bd4523c3af
https://doi.org/10.1145/3492321.3524270
https://doi.org/10.1145/3492321.3524270
Autor:
Lixiang Ao, Landon P. Cox
Publikováno v:
SEC
Game livestreaming is hugely popular and growing. Each month, Twitch hosts over two million unique broadcasters with a collective audience of 140 million unique viewers. Despite its success, livestreaming services are costly to run. AWS and Azure bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c07a0f576831581de97995275df66b9
https://doi.org/10.1109/sec50012.2020.00037
https://doi.org/10.1109/sec50012.2020.00037
Publikováno v:
SoCC
Burst-parallel serverless applications invoke thousands of short-lived distributed functions to complete complex jobs such as data analytics, video encoding, or compilation. While these tasks execute in seconds, starting and configuring the virtual n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b3624c0ff23a07a4043af3c7c41463
https://doi.org/10.1145/3419111.3421275
https://doi.org/10.1145/3419111.3421275
Publikováno v:
SoCC
Sprocket is a highly configurable, stage-based, scalable, serverless video processing framework that exploits intra-video parallelism to achieve low latency. Sprocket enables developers to program a series of operations over video content in a modula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::913dc35bcb506578654b1f062fa51dd3
https://doi.org/10.1145/3267809.3267815
https://doi.org/10.1145/3267809.3267815
Publikováno v:
ICS
Metadata scalability is critical for distributed systems as the storage scale is growing rapidly. Because of the strict consistency requirement of metadata, many existing metadata services utilize a fundamentally unscalable design for the sake of eas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3be7846406a2279e27ea384f91b9d2c7
https://doi.org/10.1145/2925426.2926292
https://doi.org/10.1145/2925426.2926292
Publikováno v:
SBAC-PAD
Highly available metadata services of distributed file systems are essential to cloud applications. However, existing highly available metadata designs lack client-oriented features that treat metadata discriminately, leading to a single metadata fau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320d0e9c0093d24e86f8719caeae684a
https://doi.org/10.1109/sbac-pad.2015.27
https://doi.org/10.1109/sbac-pad.2015.27
Publikováno v:
ISPDC
Task scheduling is critical to reduce the make span of MapReduce jobs. It is an effective approach for scheduling optimization by improving the data locality, which involves attempting to locate a task and its related data block on the same node. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580a2734be7c43a0796f7f55ec298645
https://doi.org/10.1109/ispdc.2015.12
https://doi.org/10.1109/ispdc.2015.12
Publikováno v:
CSE
As a distributed MapReduce framework, Hadoop has been widely adopted in big data processing, in which HDFS (Hadoop Distributed File System) is mostly used for data storage. Though the single master architecture of HDFS simplifies the design and imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f4347a48d1df4a0f06734d2a368cd4
https://doi.org/10.1109/cse.2014.246
https://doi.org/10.1109/cse.2014.246
Publikováno v:
CyberC
The Hadoop Distributed File System (HDFS) provides scalable, high throughput and fault-tolerant file service for Hadoop distributed frameworks. However, its single Name Node architecture can lead the metadata server to be a performance bottleneck and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b82f4b4f2dd83766d0be1cbad4059550
https://doi.org/10.1109/cyberc.2014.38
https://doi.org/10.1109/cyberc.2014.38