A Study of the Performance of a Cloud Datacenter Server

In a previous work, we presented a system which combines active solid state drives and reconfigurable FPGAs (which we called reconfigurable active SSD nodes, or simply RASSD nodes) into a storage-compute node that can be used by a cloud data-center to achieve accelerated computations while running d...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mershad, Khaleel (author)
مؤلفون آخرون: Artail, Hassan (author), Saghir, Mazen A.R. (author), Hajj, Hazem (author), Awad, Mariette (author)
التنسيق: article
منشور في: 2015
الوصول للمادة أونلاين:http://hdl.handle.net/10725/15349
https://doi.org/10.1109/TCC.2015.2415803
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/7097010
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author Mershad, Khaleel
author2 Artail, Hassan
Saghir, Mazen A.R.
Hajj, Hazem
Awad, Mariette
author2_role author
author
author
author
author_facet Mershad, Khaleel
Artail, Hassan
Saghir, Mazen A.R.
Hajj, Hazem
Awad, Mariette
author_role author
dc.creator.none.fl_str_mv Mershad, Khaleel
Artail, Hassan
Saghir, Mazen A.R.
Hajj, Hazem
Awad, Mariette
dc.date.none.fl_str_mv 2015
2015-04-28
2024-02-28T09:41:44Z
2024-02-28T09:41:44Z
dc.identifier.none.fl_str_mv 2168-7161
http://hdl.handle.net/10725/15349
https://doi.org/10.1109/TCC.2015.2415803
Mershad, K., Artail, H., Saghir, M. A., Hajj, H., & Awad, M. (2015). A study of the performance of a cloud datacenter server. IEEE transactions on Cloud Computing, 5(4), 590-603.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/7097010
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv IEEE Transactions on Cloud Computing
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv A Study of the Performance of a Cloud Datacenter Server
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In a previous work, we presented a system which combines active solid state drives and reconfigurable FPGAs (which we called reconfigurable active SSD nodes, or simply RASSD nodes) into a storage-compute node that can be used by a cloud data-center to achieve accelerated computations while running data intensive applications. To hide the complexity of accessing RASSD nodes from applications, we proposed in another work a middleware framework which handles all low-level interactions with the hardware. The Middleware Server (MWS), which manages a group of RASSD nodes, has the role of bridging the connection between a client and the nodes. In this paper, we present extensions to the MWS to enable it to operate within a collaborative cloud environment, and we develop a model to evaluate the performance of the collaborative MWS. This model represents a study of the utilization of three hardware resources of the MWS: CPU, memory, and network interface. For each, we derive the parameters that affect its operations, and propose formulas for its utilization. The results describe the capacity of a MWS, and hence can be used to decide on the number of MWSs in a collaborative cloud datacenter.
eu_rights_str_mv openAccess
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id LAURepo_055b5d81aff76f37dd050e950b3edbd2
identifier_str_mv 2168-7161
Mershad, K., Artail, H., Saghir, M. A., Hajj, H., & Awad, M. (2015). A study of the performance of a cloud datacenter server. IEEE transactions on Cloud Computing, 5(4), 590-603.
language_invalid_str_mv en
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network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/15349
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spelling A Study of the Performance of a Cloud Datacenter ServerMershad, KhaleelArtail, HassanSaghir, Mazen A.R.Hajj, HazemAwad, MarietteIn a previous work, we presented a system which combines active solid state drives and reconfigurable FPGAs (which we called reconfigurable active SSD nodes, or simply RASSD nodes) into a storage-compute node that can be used by a cloud data-center to achieve accelerated computations while running data intensive applications. To hide the complexity of accessing RASSD nodes from applications, we proposed in another work a middleware framework which handles all low-level interactions with the hardware. The Middleware Server (MWS), which manages a group of RASSD nodes, has the role of bridging the connection between a client and the nodes. In this paper, we present extensions to the MWS to enable it to operate within a collaborative cloud environment, and we develop a model to evaluate the performance of the collaborative MWS. This model represents a study of the utilization of three hardware resources of the MWS: CPU, memory, and network interface. For each, we derive the parameters that affect its operations, and propose formulas for its utilization. The results describe the capacity of a MWS, and hence can be used to decide on the number of MWSs in a collaborative cloud datacenter.Published2024-02-28T09:41:44Z2024-02-28T09:41:44Z20152015-04-28Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2168-7161http://hdl.handle.net/10725/15349https://doi.org/10.1109/TCC.2015.2415803Mershad, K., Artail, H., Saghir, M. A., Hajj, H., & Awad, M. (2015). A study of the performance of a cloud datacenter server. IEEE transactions on Cloud Computing, 5(4), 590-603.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://ieeexplore.ieee.org/abstract/document/7097010enIEEE Transactions on Cloud Computinginfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/153492024-07-03T09:17:04Z
spellingShingle A Study of the Performance of a Cloud Datacenter Server
Mershad, Khaleel
status_str publishedVersion
title A Study of the Performance of a Cloud Datacenter Server
title_full A Study of the Performance of a Cloud Datacenter Server
title_fullStr A Study of the Performance of a Cloud Datacenter Server
title_full_unstemmed A Study of the Performance of a Cloud Datacenter Server
title_short A Study of the Performance of a Cloud Datacenter Server
title_sort A Study of the Performance of a Cloud Datacenter Server
url http://hdl.handle.net/10725/15349
https://doi.org/10.1109/TCC.2015.2415803
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/7097010