{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:35:30Z","timestamp":1754156130937,"version":"3.41.2"},"reference-count":17,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2015,5,11]],"date-time":"2015-05-11T00:00:00Z","timestamp":1431302400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,5,11]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is a transcoding system based on a virtual machine in a cloud computing environment. There are many studies about transmitting realistic media through a network. As the size of realistic media data is very large, it is difficult to transmit them using current network bandwidth. Thus, a method of encoding by compressing the data using a new encoding technique is necessary. The next-generation encoding technique high-efficiency video coding (HEVC) can encode video at a high compressibility rate compared to the existing encoding techniques, MPEG-2 and H.264. Yet, encoding the information takes at least ten times longer than existing encoding techniques. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 This paper attempts to solve the tome problem using a virtual machine in a cloud computing environment. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 In addition, by calculating the transcoding time of the proposed technique, it found that the time was reduced compared to existing techniques. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 To this end, this paper proposed transcoding appropriate for the transmission of realistic media by dynamically allocating the resources of the virtual machine.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/jsit-12-2013-0066","type":"journal-article","created":{"date-parts":[[2015,5,28]],"date-time":"2015-05-28T10:21:35Z","timestamp":1432808495000},"page":"113-120","source":"Crossref","is-referenced-by-count":1,"title":["A study on distributed transcoding using dynamic allocation of virtual machines in a cloud computing environment"],"prefix":"10.1108","volume":"17","author":[{"given":"Seokmo","family":"Gu","sequence":"first","affiliation":[]},{"given":"Aria","family":"Seo","sequence":"additional","affiliation":[]},{"given":"Yei-chang","family":"Kim","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020122403504635700_b2","doi-asserted-by":"crossref","unstructured":"Ashraf, A.\n , \n Jokhio, F.\n , \n Deneke, T.\n , \n Lafond, S.\n , \n Porres, I.\n and \n Lilius, J.\n (2013), \u201cStream-based admission control and scheduling for video transcoding in cloud computing\u201d, IEEE International Symposium on Cloud and Grid Computing (CCGrid), Delft, pp. 482-489.","DOI":"10.1109\/CCGrid.2013.21"},{"key":"key2020122403504635700_b18","unstructured":"Awasthi, L.K.\n and \n Kumar, P.\n (2007), \u201cA synchronous checkpointing protocol for mobile distributed systems: probabilistic approach\u201d, \n International Journal of Information and Computer Security,\n . pp. 298-314."},{"key":"key2020122403504635700_b3","doi-asserted-by":"crossref","unstructured":"Jokhio, F.\n , \n Ashraf, A.\n , \n Deneke, T.\n , \n Lafond, S.\n , \n Porres, I.\n and \n Lilius, J.\n (2013), \u201cPrediction-based dynamic resource allocation for video transcoding in cloud computing\u201d, Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Belfast, pp. 254-261.","DOI":"10.1109\/PDP.2013.44"},{"key":"key2020122403504635700_b4","unstructured":"Kim, M.\n , \n Lee, H.\n and \n Cui, Y.\n (2011), \u201cPerformance evaluation of image conversion module based on MapReduce for transcoding and transmitting in SMCCSE\u201d, IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), Sydney, pp. 396-403."},{"key":"key2020122403504635700_b5","doi-asserted-by":"crossref","unstructured":"Makhlouf, D.\n , \n Roose, P.\n , \n Dalmau, 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W.\n , \n Shenoy, P.\n , \n Venkataramani, A.\n and \n Yousif, M.\n (2009), \u201cSandpiper: black-box and gray-box resource management for virtual machines\u201d, \n The International Journal of Computer and Telecommunications Networking Archive\n , Vol. 53 No. 17, pp. 2923-2938."},{"key":"key2020122403504635700_b14","doi-asserted-by":"crossref","unstructured":"Wiegand, T.\n , \n Sullivan, G.J.\n , \n Bjontegaard, G.\n and \n Luthra, A.\n (2003), \u201cOverview of the H.264\/AVC video coding standard\u201d, \n IEEE Transactions on Circuits and Systems for Video Technology\n , Vol. 13 No. 7, pp. 560-576.","DOI":"10.1109\/TCSVT.2003.815165"},{"key":"key2020122403504635700_b15","doi-asserted-by":"crossref","unstructured":"Yoon, K.\n , \n Bumsuk, C.\n , \n Eun-Seo, L.\n and \n Tae-Beom, L.\n (2010), \u201c4-D broadcasting with MPEG-V\u201d, IEEE International Workshop Multimedia Signal Processing (MMSP), Saint Malo, pp. 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