A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing

By Muhammad Shiraz, Abdullah Bin Gani, Rashid Hafeez Khokhar, Rajkumar Buyya. IEEE Communications Surveys and Tutorials, 2013

324 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/203b4ea2ee6e06426830d7c205c7c06472040262

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures (2016, background): “According to the literature, meeting huge computation demands is challenging because individual vehicles have limited computing resources [25].”
Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges (2014, background): “Realizing cloud-based augmentation vision is impeded by multi-dimensional overhead of identifying and efficiently partitioning resource intensive components , VM (Virtual Machine) creation and migration, and monitoring the overall outsourcing process [44].”
A survey on vehicular cloud computing (2014, unknown): “However, the mobile devices suffer from computing resources limitations, battery restriction and processing time (Shiraz et al., 2012).”
A survey on virtual machine migration and server consolidation frameworks for cloud data centers (2015, background): “Resource-intensive workloads are intelligently offloaded to benefit from cloud resources (Shiraz et al., 2013a, Shiraz and Gani, 2012).”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “Mobile applications can be partitioned at runtime so that computationally intensive components of the application can be handled through adaptive offloading [34].”
Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks (2018, background): “Such computing-intensive applications require higher computing capacity and more energy than traditional applications on SMDs [4].”
Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing (2016, background): “As expected, SMDs are taken as the dominant future computing devices for supporting computationintensive applications, such as interactive gaming, image/video processing, e-commerce, and online social network services [1], [2].”
Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, background): “Among limited studies of the domain, [19] and [56] survey”