Cuckoo: A Computation Offloading Framework for Smartphones
By R. Kemp, N. Palmer, T. Kielmann, H. Bal. Mobile Computing, Applications, and Services, 2010
551 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/cd8d1bb93797fae7b8b379cf970cadea87a79809
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Abdullah Bin Gani
- Samee Ullah Khan
- Rajkumar Buyya
- Ejaz Ahmed
- Peng Li
- Aruna Prasad Seneviratne
- Xiaofei Liao
- Weifa Liang
In Electrical and Electronic Engineering
- Abdullah Bin Gani
- Jiannong Cao
- Aruna Prasad Seneviratne
- Weifa Liang
- Rajkumar Buyya
- Stefania Sardellitti
- Samee Ullah Khan
- Sergio Barbarossa
Citations in the corpus
- Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks (2014, background): “Examples of this class are: Spectra [11], Chroma [12], and Cuckoo [13].”
- Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, background): “Researchers [24]–[27], [27]–[43], [45]–[49] aim to obtain user requirements and preferences by exploiting varied typ es of cloud-based resources to augment computing capabilitie s of resource-constraint smartphones.”
- Computation Offloading Toward Edge Computing (2019, background): “[36] R. Kemp, N. Palmer, T. Kielmann, and H. Bal, “Cuckoo: A computation offloading framework for smartphones,” in Mobile Computing, Applications, and Services, M. Gris and G. Yang, Eds.”
- On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration (2017, unknown): “Component-level partitioning was considered in Cuckoo [35] and a relevant system was implemented in MAUI [36].”
- Edge server placement in mobile edge computing (2019, background): “Most existing studies have focused on offloading the workloads of mobile users to cloudlets to enable mobile devices to realize energy savings, and this approach assumes that the cloudlets have already been placed [13],[14],[15],[16].”
- Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks (2017, background): “Although existing frameworks and algorithms for task offloading mostly focused on clouds [5], [6], cloudlets have been quickly gaining recognition as an alternative offloading destination [7], [8], [9], [10], [11].”
- A Survey of Wearable Devices and Challenges (2017, methodology): “The Cuckoo framework [265] is designed to offload computation tasks on Android based handheld devices to cloud resources to reduce the energy consumption.”
- Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges (2014, background): “Several efforts such as [10], [12], [39]–[42] deploy cloud computing technology to enhance the capability of smartphone.”
- COMET: Code Offload by Migrating Execution Transparently (2012, unknown): “Other systems that fall into this broad category include Emerald [19], Network Objects [5], Obliq [6], Rover [17], Cuckoo [21], and MapReduce [11].”
- A Survey of Mobile Cloud Computing Application Models (2014, methodology): “Further, the build system creates an interface and remote service that contains a dummy implementation done by the Cuckoo Remote Service Deriver (CRSD).”