Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Esmail Asyabi"'
Publikováno v:
Proceedings of the Seventeenth European Conference on Computer Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83bbf7a2f4c6fa1309a403dfc3ade658
https://doi.org/10.1145/3492321.3519592
https://doi.org/10.1145/3492321.3519592
Publikováno v:
Journal of Parallel and Distributed Computing. 133:232-243
Large-scale interactive Web services break a user’s request to many sub-requests and send them to a large number of independent servers so as to consult multi-terabyte datasets instantaneously. Service responsiveness hinges on the slowest server, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ca2c7a9d056e3a08b54ee6f99aa02ed
https://doi.org/10.1016/j.jpdc.2018.04.003
https://doi.org/10.1016/j.jpdc.2018.04.003
Publikováno v:
SoCC
The traffic load sent to key-value (KV) stores varies over long timescales of hours to short timescales of a few microseconds. Long-term variations present the opportunity to save power during low or medium periods of utilization. Several techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c12f0183b1f60629c45c4c6fe7a6ff83
https://doi.org/10.1145/3419111.3421298
https://doi.org/10.1145/3419111.3421298
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 29:2346-2359
Large-scale online services parallelize sub-operations of a user’s request across a large number of physical machines (service components) so as to enhance the responsiveness. Even a temporary spike in latency of any service component can notably i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::278ff935b4724cf9036d333d8397da32
https://doi.org/10.1109/tpds.2018.2827075
https://doi.org/10.1109/tpds.2018.2827075
Publikováno v:
Future Generation Computer Systems. 83:75-84
IaaS cloud providers typically leverage virtualization technology (VT) to multiplex underlying physical resources among virtual machines (VMs), thereby enhancing the utilization of physical resources. However, the contention on shared physical resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::656eceae50920c703ce4ecdb389385f9
https://doi.org/10.1016/j.future.2018.01.015
https://doi.org/10.1016/j.future.2018.01.015
Publikováno v:
APSys
Idle-state governors partially turn off idle CPUs, allowing them to go to states known as idle-states to save power. Exiting from these idle-sates, however, imposes delays on the execution of tasks and aggravates tail latency. Menu, the default idle-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39f3b417dcaca16d12a95d75437b42c5
https://doi.org/10.1145/3343737.3343740
https://doi.org/10.1145/3343737.3343740
Autor:
Mostafa Dehsangi, Azadeh Azhdari, Michel Gokan Khan, Mohsen Sharifi, Sayed Vahid Azhari, Esmail Asyabi
Publikováno v:
Cluster Computing. 19:567-583
Cloud computing environments (CCEs) are expected to deliver their services with qualities in service level agreements. On the other hand, they typically employ virtualization technology to consolidate multiple workloads on the same physical machine,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7badfb6228cdcd3835be8600fea0c961
https://doi.org/10.1007/s10586-016-0541-5
https://doi.org/10.1007/s10586-016-0541-5
Autor:
Esmail Asyabi, Mohsen Sharifi
Publikováno v:
International Journal of Modern Education and Computer Science. 7:61-66
Cloud computing environments have introduced a new model of computing by shifting the location of computing infrastructure to the Internet network to reduce the cost associated with the management of hardware and software resources. The Cloud model u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d999190e688b43331ac9b95c81f4a9bc
https://doi.org/10.5815/ijmecs.2015.04.07
https://doi.org/10.5815/ijmecs.2015.04.07
Publikováno v:
FiCloud
In spite of the fact that Cloud Computing Environments (CCE) host many I/O intensive applications such as Web services, big data and virtual desktops, virtual machine monitors like Xen impose high overhead on CCEs' delivered performance hosting such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3119099bb16dd152b3faa98125f073e
https://doi.org/10.1109/ficloud.2015.56
https://doi.org/10.1109/ficloud.2015.56