SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading
<p dir="ltr">With the pervasiveness and growth in media technology, user-generated content has become intertwined with our day-to-day life.Such advancements, however, have enabled the exponential growthin media file sizes, which leads to shortage of storage on small-scaleedge devices...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2020
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513522174525440 |
|---|---|
| author | Ali E. Elgazar (23276620) |
| author2 | Khaled A. Harras (23275033) Mohammad Aazam (20315253) |
| author2_role | author author |
| author_facet | Ali E. Elgazar (23276620) Khaled A. Harras (23275033) Mohammad Aazam (20315253) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ali E. Elgazar (23276620) Khaled A. Harras (23275033) Mohammad Aazam (20315253) |
| dc.date.none.fl_str_mv | 2020-11-16T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1145/3416013.3426454 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/conference_contribution/SMC_Alternative_Smart_Media_Compression_Techniques_for_Edge_Storage_Offloading/31445179 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Data management and data science Machine learning Compression mobile-devices multimedia access-patterns energy-efficiency |
| dc.title.none.fl_str_mv | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| dc.type.none.fl_str_mv | Text Conference contribution info:eu-repo/semantics/publishedVersion text conference object |
| description | <p dir="ltr">With the pervasiveness and growth in media technology, user-generated content has become intertwined with our day-to-day life.Such advancements, however, have enabled the exponential growthin media file sizes, which leads to shortage of storage on small-scaleedge devices. While online clouds have been the default solution,they raise privacy concerns, are not fully automated, and do notadapt to different networking environments. Distributed storagesystems rely on distributed file partitioning to combat concerns overprivacy, and are adaptable to different networking environments.Nevertheless, such systems lack optimization via compression dueto energy concerns on edge devices. In this work, we propose SmartMedia Compression (SMC), a system that can be integrated withvarious distributed edge cloud (DEC) storage systems. SMC uti-lizes both a deterministic as well as a machine learning approachto classify the relevance of files to the user. Once classification isperformed, SMC intelligently selects which files to compress, whichfiles to preserve as is, and which files to offload to the distributededge storage system. SMC dynamically adapts its parameters inorder to reduce the amount of needless compression, thus minimiz-ing energy consumption. It accomplishes this while also providingfaster access to user files compared to standalone DEC systems. Ourresults show an improvement in average file access delay by up to90%, while only costing an additional 14% in energy consumption.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1145/3416013.3426454" target="_blank">https://dx.doi.org/10.1145/3416013.3426454</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_daa834edcb3044c6794e2ce53a56c891 |
| identifier_str_mv | 10.1145/3416013.3426454 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/31445179 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | SMC: Alternative Smart Media Compression Techniques for Edge Storage OffloadingAli E. Elgazar (23276620)Khaled A. Harras (23275033)Mohammad Aazam (20315253)Information and computing sciencesArtificial intelligenceData management and data scienceMachine learningCompressionmobile-devicesmultimediaaccess-patternsenergy-efficiency<p dir="ltr">With the pervasiveness and growth in media technology, user-generated content has become intertwined with our day-to-day life.Such advancements, however, have enabled the exponential growthin media file sizes, which leads to shortage of storage on small-scaleedge devices. While online clouds have been the default solution,they raise privacy concerns, are not fully automated, and do notadapt to different networking environments. Distributed storagesystems rely on distributed file partitioning to combat concerns overprivacy, and are adaptable to different networking environments.Nevertheless, such systems lack optimization via compression dueto energy concerns on edge devices. In this work, we propose SmartMedia Compression (SMC), a system that can be integrated withvarious distributed edge cloud (DEC) storage systems. SMC uti-lizes both a deterministic as well as a machine learning approachto classify the relevance of files to the user. Once classification isperformed, SMC intelligently selects which files to compress, whichfiles to preserve as is, and which files to offload to the distributededge storage system. SMC dynamically adapts its parameters inorder to reduce the amount of needless compression, thus minimiz-ing energy consumption. It accomplishes this while also providingfaster access to user files compared to standalone DEC systems. Ourresults show an improvement in average file access delay by up to90%, while only costing an additional 14% in energy consumption.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1145/3416013.3426454" target="_blank">https://dx.doi.org/10.1145/3416013.3426454</a></p>2020-11-16T09:00:00ZTextConference contributioninfo:eu-repo/semantics/publishedVersiontextconference object10.1145/3416013.3426454https://figshare.com/articles/conference_contribution/SMC_Alternative_Smart_Media_Compression_Techniques_for_Edge_Storage_Offloading/31445179CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/314451792020-11-16T09:00:00Z |
| spellingShingle | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading Ali E. Elgazar (23276620) Information and computing sciences Artificial intelligence Data management and data science Machine learning Compression mobile-devices multimedia access-patterns energy-efficiency |
| status_str | publishedVersion |
| title | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| title_full | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| title_fullStr | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| title_full_unstemmed | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| title_short | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| title_sort | SMC: Alternative Smart Media Compression Techniques for Edge Storage Offloading |
| topic | Information and computing sciences Artificial intelligence Data management and data science Machine learning Compression mobile-devices multimedia access-patterns energy-efficiency |