Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Doug Voigt"'
Publikováno v:
Transactions of the Indian National Academy of Engineering. 7:219-234
AI and analytics applications are good at deriving meaningful insights from data, but they do not always cope well with the storage management challenges that come with a high pace of data generation. At the same time, a conventional data storage and
Publikováno v:
IEEE Transactions on Cloud Computing. 9:627-640
In the cloud environment, most services are provided by virtual machines (VMs). Identifying storage requirements of VMs is challenging, but it is essential for good user experiences while optimizing use of storage resources. Determining the storage c
Publikováno v:
CCF Transactions on High Performance Computing. 2:16-35
Emerging non-volatile memory (NVM) has attractive characteristics such as DRAM-like low-latency together with the non-volatility of storage devices. Recently, byte-addressable, memory bus-attached NVM has become available. This paper addresses the pr
Publikováno v:
Resource Proportional Software Design for Emerging Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69300b49ad7b1f79a975544ab1909357
https://doi.org/10.1201/9781315167220-4
https://doi.org/10.1201/9781315167220-4
Publikováno v:
Resource Proportional Software Design for Emerging Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99ce588a945cecee2aec7412b1c69b60
https://doi.org/10.1201/9781315167220-13
https://doi.org/10.1201/9781315167220-13
Publikováno v:
Resource Proportional Software Design for Emerging Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f24182932555e2d0dea4ce9fba00d46
https://doi.org/10.1201/9781315167220-7
https://doi.org/10.1201/9781315167220-7
Publikováno v:
Resource Proportional Software Design for Emerging Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::277fd1d77659a5b10539b27d2020aa0f
https://doi.org/10.1201/9781315167220-12
https://doi.org/10.1201/9781315167220-12