Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alfares, Nader"'
Over the past ten years, many different approaches have been proposed for different aspects of the problem of resources management for long running, dynamic and diverse workloads such as processing query streams or distributed deep learning. Particul
Externí odkaz:
http://arxiv.org/abs/2207.04594
Autor:
Zare, Hamidreza, Cadambe, Viveck R., Urgaonkar, Bhuvan, Sharma, Chetan, Soni, Praneet, Alfares, Nader, Merchant, Arif
We design and implement LEGOStore, an erasure coding (EC) based linearizable data store over geo-distributed public cloud data centers (DCs). For such a data store, the confluence of the following factors opens up opportunities for EC to be latency-c
Externí odkaz:
http://arxiv.org/abs/2111.12009
Autor:
Kesidis, George, Alfares, Nader, Li, Xi, Urgaonkar, Bhuvan, Kandemir, Mahmut, Konstantopoulos, Takis
We consider a content-caching system thatis shared by a number of proxies. The cache could belocated in an edge-cloud datacenter and the proxies couldeach serve a large population of mobile end-users. Eachproxy operates its own LRU-list of a certain
Externí odkaz:
http://arxiv.org/abs/1905.07641
Considering the problem of resource allocation for potentially complex and diverse streaming (e.g., query processing) or long-running iterative (e.g., deep learning) workloads in the public cloud, we argue that a framework based on simulated annealin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82187091ab27bfa49ba9145014fa59e
http://arxiv.org/abs/2207.04594
http://arxiv.org/abs/2207.04594
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.