Cite this DOI

P. H, P. B. (2021). A SURVEY ON EFFICIENT MOBILE CLOUD COMPUTING THROUGH COMPUTATIONAL OFFLOADING. *Journal of Science & Technology*, *06*(01), 301–306. https://doi.org/10.46243/jst.2021.v6.i04.pp301-306

@article{ph2021survey,
  author    = {P. H, Prof. Bangar},
  title     = {{A SURVEY ON EFFICIENT MOBILE CLOUD COMPUTING THROUGH COMPUTATIONAL OFFLOADING}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {301--306},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp301-306},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp301-306},
  language  = {en},
  abstract  = {Mobile cloud computing (MCC) represented a new era in computing, in which cloud users are drawn to a variety of services over the Internet. MCC has a high-quality, adaptable, and cheap delivery platform for providing Internet-based services to mobile cloud users. The rapid growth of data produced by various smart devices, such as smart phones, IoT/IIoT networks, and vehicular networks running various specific applications such as Augmented Reality (AR), Virtual Reality (VR), and positioning systems, necessitates an increase in processing and storage resources. Offloading is a promising strategy for dealing with such devices' intrinsic limitations by transferring resource-intensive code, or at least a portion of it, to neighbouring resource-rich servers. This paper explains how to use offloading techniques to make mobile cloud computing more efficient, as well as the framework for doing so.}
}

TY  - JOUR
TI  - A SURVEY ON EFFICIENT MOBILE CLOUD COMPUTING THROUGH COMPUTATIONAL OFFLOADING
AU  - P. H, Prof. Bangar
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 301
EP  - 306
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Mobile cloud computing (MCC) represented a new era in computing, in which cloud users are drawn to a variety of services over the Internet. MCC has a high-quality, adaptable, and cheap delivery platform for providing Internet-based services to mobile cloud users. The rapid growth of data produced by various smart devices, such as smart phones, IoT/IIoT networks, and vehicular networks running various specific applications such as Augmented Reality (AR), Virtual Reality (VR), and positioning systems, necessitates an increase in processing and storage resources. Offloading is a promising strategy for dealing with such devices' intrinsic limitations by transferring resource-intensive code, or at least a portion of it, to neighbouring resource-rich servers. This paper explains how to use offloading techniques to make mobile cloud computing more efficient, as well as the framework for doing so.
DO  - 10.46243/jst.2021.v6.i04.pp301-306
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp301-306
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp301-306",
    "title": "A SURVEY ON EFFICIENT MOBILE CLOUD COMPUTING THROUGH COMPUTATIONAL OFFLOADING",
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    "container-title": "Journal of Science & Technology",
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Mobile cloud computing (MCC) represented a new era in computing, in which cloud users are drawn to a variety of services over the Internet. MCC has a high-quality, adaptable, and cheap delivery platform for providing Internet-based services to mobile cloud users. The rapid growth of data produced by various smart devices, such as smart phones, IoT/IIoT networks, and vehicular networks running various specific applications such as Augmented Reality (AR), Virtual Reality (VR), and positioning systems, necessitates an increase in processing and storage resources. Offloading is a promising strategy for dealing with such devices' intrinsic limitations by transferring resource-intensive code, or at least a portion of it, to neighbouring resource-rich servers. This paper explains how to use offloading techniques to make mobile cloud computing more efficient, as well as the framework for doing so.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp301-306 gives all four in one JSON answer.