MAUI: making smartphones last longer with code offload

The case for vm-based cloudlets in mobile computing

Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660

Live migration of virtual machines

Clark, C. J., Fraser, K. A., Hand, S., Hansen, J. G., Jul, E., Limpach, C., Pratt, I., & Warfield, A. (2005) · doi:10.5555/1251203.1251223 · Cited by 2,713

Recent advances in rechargeable battery materials: a chemist’s perspective

Palacín, M. R. (2009) · Chemical Society Reviews · doi:10.1039/b820555h · Cited by 1,421

Agile application-aware adaptation for mobility

Noble, B. D., Satyanarayanan, M., Narayanan, D., Tilton, J. E., Flinn, J., & Walker, K. R. (1997) · ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · doi:10.1145/268998.266708 · Cited by 740

Bandwidth estimation: metrics, measurement techniques, and tools

Prosad, R., Davrolis, C., Murray, M., & claffy, K. (2003) · IEEE Network · doi:10.1109/mnet.2003.1248658 · Cited by 729

Fine-grained mobility in the Emerald system

Jul, E., Levy, H. M., Hutchinson, N. C., & Black, A. P. (1988) · ACM Transactions on Computer Systems · doi:10.1145/35037.42182 · Cited by 728

Transparent process migration: Design alternatives and the Sprite implementation

Ousterhout, J. K., & Douglis, F. (n.d.) · NASA Technical Reports Server (NASA) · Cited by 446

Augmented smartphone applications through clone cloud execution

Chun, B.-G., & Maniatis, P. (2009) · Cited by 422

The design and implementation of Zap

Osman, S., Subhraveti, D., Su, G., & Nieh, J. (2002) · ACM SIGOPS Operating Systems Review · doi:10.1145/844128.844162 · Cited by 407

Amoeba: a distributed operating system for the 1990s

Mullender, S. J., van Rossum, G., Tananbaum, A. S., van Renesse, R., & van Staveren, H. (1990) · Computer · doi:10.1109/2.53354 · Cited by 405

Dynamic Edge Fabric EnvironmenT: Seamless and Automatic Switching among Resources at the Edge of IoT Network and Cloud

Jalali, F., Lynar, T., Smith, O. J., Kolluri, R. R., Hardgrove, C. V., Waywood, N., & Suits, F. (2019) · IEEE International Conference on Edge Computing and Communications (EDGE) · doi:10.1109/edge.2019.00028 · Cited by 24

Dual-side dynamic controls for cost minimization in mobile cloud computing systems

Kim, Y., Kwak, J., & Chong, S. (2015) · International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) · doi:10.1109/wiopt.2015.7151104 · Cited by 23

Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks

Lu, Z., Zhao, J., Wu, Y., & Cao, G. (2015) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn.2015.7288473 · Cited by 23

User mobility-aware decision making for mobile computation offloading

Lee, K., & Shin, I. (2013) · IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA) · doi:10.1109/cpsna.2013.6614257 · Cited by 23

SmartDiet

Saarinen, A., Siekkinen, M., Xiao, Y., Nurminen, J. K., Kemppainen, M., & Hui, P. (2012) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2342356.2342418 · Cited by 23

Adaptive usage of cellular and WiFi bandwidth

Yetim, O. B., & Martonosi, M. (2012) · ACM Workshop on Challenged Networks (CHANTS) · doi:10.1145/2348616.2348631 · Cited by 23

Accelerating the mobile web with selective offloading

Wang, X. S., Shen, H., & Wetherall, D. J. (2013) · doi:10.1145/2491266.2491275 · Cited by 23

Reducing your local footprint with anyrun computing

Ferrari, A., Giordano, S., & Puccinelli, D. (2016) · Computer Communications · doi:10.1016/j.comcom.2016.01.006 · Cited by 23

Android Unikernel: Gearing mobile code offloading towards edge computing

Wu, S., Mei, C., Jin, H., & Wang, D. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.069 · Cited by 23

Emergency management systems using mobile cloud computing: A survey

Nanda, S., Panigrahi, C. R., & Pati, B. (2020) · International Journal of Communication Systems · doi:10.1002/dac.4619 · Cited by 23

A Socially-Aware Dependent Tasks Offloading Strategy in Mobile Edge Computing

Gong, Y., Hao, F., Wang, L., Zhao, L., & Min, G. (2023) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2023.3240457 · Cited by 23

A Mobile Application Offloading Algorithm for Mobile Cloud Computing

Ellouze, A., Gagnaire, M., & Haddad, A. (2015) · IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) · doi:10.1109/mobilecloud.2015.11 · Cited by 23

Precise execution offloading for applications with dynamic behavior in mobile cloud computing

Kwon, Y., Yi, H., Kwon, D., Yang, S., Cho, Y., & Paek, Y. (2015) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2015.10.001 · Cited by 23

Making Offloading Decisions Resistant to Network Unavailability for Mobile Cloud Collaboration

Wu, H., Huang, D., & Bouzefrane, S. (2013) · International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) · doi:10.4108/icst.collaboratecom.2013.254106 · Cited by 23

Supporting Mobile Cloud Computing in Smart Cities via Randomized Algorithms

Mazza, D., Pagès‐Bernaus, A., Tarchi, D., Juan, A. A., & Corazza, G. E. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2016.2578358 · Cited by 23

Performability analysis of cloudlet in mobile cloud computing

Raei, H., & Yazdani, N. (2017) · Information Sciences · doi:10.1016/j.ins.2017.01.030 · Cited by 23

An efficient model for vehicular cloud computing with prioritizing computing resources

Tahmasebi, M., & Khayyambashi, M. R. (2018) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-018-0677-6 · Cited by 23

DeltaVR

Li, Y., & Gao, W. (2019) · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) · doi:10.1145/3302506.3310385 · Cited by 23

A new hybrid adaptive GA-PSO computation offloading algorithm for IoT and CPS context application

Ezhilarasie, R., Reddy, M. S., & Umamakeswari, A. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-169970 · Cited by 23

Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure

Lu, Z., Sun, X., & Porta, T. L. (2017) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2017.2747621 · Cited by 23

A Trust-Aware Task Offloading Framework in Mobile Edge Computing

Wu, D., Shen, G., Huang, Z., Cao, Y., & Du, T.-B. (2019) · IEEE Access · doi:10.1109/access.2019.2947306 · Cited by 23

A QoE-Aware Service-Enhancement Strategy for Edge Artificial Intelligence Applications

Xia, J., Cheng, G., Guo, D., & Zhou, X. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2996422 · Cited by 23

Edge‐adaptable serverless acceleration for machine learning Internet of Things applications

Zhang, M., Krintz, C., & Wolski, R. (2020) · Software Practice and Experience · doi:10.1002/spe.2944 · Cited by 23

A virtual cloud computing provider for mobile devices

Barca, C., Bârcă, C. D., Cucu, C., Gavriloaia, M.-R., Vizireanu, R., Fratu, O., & Halunga, S. V. (2016) · International Conference on Electronics, Computers and Artificial Intelligence (ECAI) · doi:10.1109/ecai.2016.7861184 · Cited by 23

Code offload with least context migration in the mobile cloud

Li, Y., & Gao, W. (2015) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2015.7218570 · Cited by 22

An energy-saving task scheduler for mobile devices

Qian, H., & Andresen, D. (2015) · IEEE/ACIS International Conference on Computer and Information Science (ICIS) · doi:10.1109/icis.2015.7166631 · Cited by 22

Enabling Vehicular Applications using Cloud Services through Adaptive Computation Offloading

Ashok, A., Steenkiste, P., & Bai, F. (2015) · doi:10.1145/2802130.2802131 · Cited by 22

Using Program Analysis to Improve Database Applications.

Cheung, A., Madden, S. R., Solar-Lezama, A., Arden, O., & Myers, A. C. (2014) · IEEE Data(base) Engineering Bulletin · Cited by 22

Joint computation and communication resource allocation in mobile-edge cloud computing networks

Lin, X., Zhang, H., Ji, H., & Leung, V. C. M. (2016) · IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC) · doi:10.1109/icnidc.2016.7974557 · Cited by 22

An approach for offloading in mobile cloud computing to optimize power consumption and processing time

Aldmour, R. A., Yousef, S., Baker, T., & Benkhelifa, E. (2021) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2021.100562 · Cited by 22

Deep Learning Video Analytics on Edge Computing Devices

Tan, T., & Cao, G. (2021) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/secon52354.2021.9491614 · Cited by 22

Multiuser Computation Offloading for Long-Term Sequential Tasks in Mobile Edge Computing Environments

Xu, H., Zhou, J., Wei, W., & Cheng, B. (2022) · Tsinghua Science & Technology · doi:10.26599/tst.2021.9010087 · Cited by 22

An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications

Hassan, M. U., Al-Awady, A. A., Ali, A., Iqbal, M. M., Akram, M., Khan, J., & AbuOdeh, A. A. (2023) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2023.101785 · Cited by 22

Deep reinforcement learning based trajectory design and resource allocation for task-aware multi-UAV enabled MEC networks

Li, Z., Xu, C. G., Zhang, Z., & Wu, R. (2023) · Computer Communications · doi:10.1016/j.comcom.2023.11.006 · Cited by 22

Run-time adaptation of mobile applications using genetic algorithms

Pascual, G. G., Pinto, M., & Fuentes, L. (2013) · Software Engineering for Adaptive and Self-Managing Systems · doi:10.5555/2663546.2663560 · Cited by 22

Architectural Designs from Mobile Cloud Computing to Ubiquitous Cloud Computing - Survey

Lomotey, R. K., & Deters, R. (2014) · IEEE World Congress on Services (SERVICES) · doi:10.1109/services.2014.79 · Cited by 22

Pirax: framework for application piracy control in mobile cloud environment

Khan, A. U. R., Othman, M., Ali, M., Khan, A. N., & Madani, S. A. (2013) · The Journal of Supercomputing · doi:10.1007/s11227-013-1061-1 · Cited by 22

Proxy based seamless connection management method in mobile cloud computing

Lee, D., Lee�, H., Park, D.-S., & Jeong, Y. (2013) · Cluster Computing · doi:10.1007/s10586-013-0249-8 · Cited by 22

Smartphone Energizer: Extending Smartphone's battery life with smart offloading

Khairy, A., Ammar, H. H., & Bahgat, R. (2013) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc.2013.6583581 · Cited by 22

An Online Migration Environment for Executing Mobile Applications on the Cloud

Hung, S., Shih, C., Shieh, J., Lee, C.-P., & Huang, Y. (2011) · International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS) · doi:10.1109/imis.2011.77 · Cited by 22

Context‐awareness over transient cloud in D2D networks: energy performance analysis and evaluation

Bisio, I., Lavagetto, F., Sciarrone, A., Penner, T., & Guirguis, M. (2015) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3002 · Cited by 22

Offload Decision Models and the Price of Anarchy in Mobile Cloud Application Ecosystems

Gao, B., He, L., & Jarvis, S. A. (2016) · IEEE Access · doi:10.1109/access.2016.2518179 · Cited by 22

Case of ARM emulation optimization for offloading mechanisms in Mobile Cloud Computing

Shuja, J., Gani, A., Naveed, A., Ahmed, E., & Hsu, C. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2016.05.037 · Cited by 22

A Distributed Coalition Game Approach to Femto-Cloud Formation

Tanzil, S. M. S., Gharehshiran, O. N., & Krishnamurthy, V. (2016) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2016.2594175 · Cited by 22

E-greenDroid

Wang, J., Liu, Y., Xu, C., Ma, X., & Lü, J. (2016) · Asia-Pacific Symposium on Internetware · doi:10.1145/2993717.2993720 · Cited by 22

Survey on Three Components of Mobile Cloud Computing: Offloading, Distribution and Privacy

Paranjothi, A., Khan, M. S., & Nijim, M. (2017) · Journal of Computer and Communications · doi:10.4236/jcc.2017.56001 · Cited by 22

iCharge

He, L., Tung, Y.-C., & Shin, K. G. (2017) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3081333.3081350 · Cited by 22

ePrivateeye

Streiffer, C., Srivastava, A., Orlikowski, V., Velasco, Y., Martin, V., Raval, N., Machanavajjhala, A., & Cox, L. P. (2017) · ACM/IEEE Symposium on Edge Computing (SEC) · doi:10.1145/3132211.3134457 · Cited by 22

MobiCOP: A Scalable and Reliable Mobile Code Offloading Solution

Benedetto, J. I., Valenzuela, G., Sanabria, P., Neyem, A., Navón, J., & Poellabauer, C. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/8715294 · Cited by 22

Dandelion: A Unified Code Offloading System for Wearable Computing

Golkarifard, M., Yang, J., Huang, Z., Movaghar, A., & Hui, P. (2018) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2018.2841836 · Cited by 22

Towards Deviceless Edge Computing: Challenges, Design Aspects, and Models for Serverless Paradigm at the Edge

Nastić, S., & Dustdar, S. (2018) · Springer eBooks · doi:10.1007/978-3-319-73897-0_8 · Cited by 22

VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms

Scarpiniti, M., Baccarelli, E., & Momenzadeh, A. (2019) · Applied Sciences · doi:10.3390/app9061160 · Cited by 22

Adaptable mobile cloud computing environment with code transfer based on machine learning

Nawrocki, P., Śnieżyński, B., & Slojewski, H. (2019) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2019.05.001 · Cited by 23

Fuzzy Handoff Control in Edge Offloading

Basic, F., Aral, A., & Brandić, I. (2019) · IEEE International Conference on Fog Computing (ICFC) · doi:10.1109/icfc.2019.00020 · Cited by 22

Queuing Model Based Edge Placement for Work Offloading in Mobile Cloud Networks

Chin, T.-L., Chen, Y.-S., & Lyu, K.-Y. (2020) · IEEE Access · doi:10.1109/access.2020.2979479 · Cited by 22

Mobile Cloud Computing and Wireless Sensor Networks: A review, integration architecture, and future directions

Panigrahi, C. R., Sarkar, J. L., Pati, B., Buyya, R., Mohapatra, P., & Majumder, A. (2021) · IET Networks · doi:10.1049/ntw2.12013 · Cited by 22

PacketCloud: A Cloudlet-Based Open Platform for In-Network Services

Chen, Y., Chen, Y., Cao, Q., & Yang, X. (2015) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2015.2424222 · Cited by 22

Offloading Computations to Mobile Devices and Cloudlets via an Upgraded NFC Communication Protocol

Chatzopoulos, D., Bermejo, C., Kosta, S., & Hui, P. (2019) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2019.2899093 · Cited by 22

Energy-efficiency in wireless sensor networks

Rault, T. (2015) · doi:10.70675/e1b49a3dzd54az4e25z9f7az7e5e4ddf36f8 · Cited by 22

Smartphone sensing offloading for efficiently supporting social sensing applications

Rachuri, K. K., Efstratiou, C., Ilias Leontiadis, A., Cecilia Mascolo, C., & Rentfrow, P. J. (2013) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2013.10.005 · Cited by 21

Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices

Kwon, Y., Lee, S.-M., Yi, H., Kwon, D., Yang, S., Chun, B.-G., Huang, L., Maniatis, P., Naik, M., & Paek, Y. (2014) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2014.2374153 · Cited by 21

ECC: Edge Cloud Composites

Bhardwaj, K., Sreepathy, S., Gavrilovska, A., & Schwan, K. (2014) · IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) · doi:10.1109/mobilecloud.2014.18 · Cited by 21

Optimal multi-dimensional dynamic resource allocation in mobile cloud computing

Vakilinia, S., Qiu, D., & Ali, M. M. (2014) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/1687-1499-2014-201 · Cited by 21

Directory-based incentive management services for ad-hoc mobile clouds

Yousafzai, A., Chang, V. I. C., Gani, A., & Noor, R. M. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.05.019 · Cited by 21

Have you asked your neighbors? A Hidden Market approach for device-to-device offloading

Chatzopoulos, D., Ahmadi, M., Kosta, S., & Hui, P. (2016) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2016.7523497 · Cited by 21

Demand-Based Computation Offloading Framework for Mobile Devices

Kumar, J., Malik, A., Dhurandher, S. K., & Nicopolitidis, P. (2017) · IEEE Systems Journal · doi:10.1109/jsyst.2017.2706178 · Cited by 21

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog

Samani, Z. N., Mehran, N., Kimovski, D., Benedict, S., Saurabh, N., & Prodan, R. (2023) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2023.3262695 · Cited by 21

DroidPerf: Profiling Memory Objects on Android Devices

Li, B., Zhao, Q., Jiao, S., & Liu, X. (2023) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3570361.3592503 · Cited by 21

A holistic energy optimization framework for cloud-assisted mobile computing

Luo, C., Yang, L. T., Li, P., Xie, X., & Chao, H. (2015) · IEEE Wireless Communications · doi:10.1109/mwc.2015.7143334 · Cited by 21

Design and evaluation of mobile offloading system for web-centric devices

Park, S.-H., Chen, Q., Han, H., & Yeom, H. Y. (2013) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2013.08.006 · Cited by 21

Challenges in securing the interface between the cloud and pervasive systems

Lagesse, B. (2011) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2011.5766850 · Cited by 21

MARS

Cidon, A., London, T. M., Katti, S., Kozyrakis, C., & Rosenblum, M. (2011) · doi:10.1145/2043106.2043107 · Cited by 21

DDS-enabled Cloud management support for fast task offloading

Antonio Corradi, A., Foschini, L., Povedano-Molina, J., & Lopez-Soler, J. M. (2012) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2012.6249270 · Cited by 21

Computational offloading mechanism for native and android runtime based mobile applications

Yousafzai, A., Gani, A., Noor, R. M., Naveed, A., Ahmad, R. W., & Chang, V. I. C. (2016) · Journal of Systems and Software · doi:10.1016/j.jss.2016.07.043 · Cited by 21

Dynamic resource scheduling in cloud radio access network with mobile cloud computing

Wang, X., Wang, K., Wu, S., Di, S., Yang, K., & Jin, H. (2016) · International Workshop on Quality of Service · doi:10.1109/iwqos.2016.7590428 · Cited by 21

Keep your nice friends close, but your rich friends closer — Computation offloading using NFC

Sucipto, K., Chatzopoulos, D., Kosta, S., & Hui, P. (2017) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2017.8057147 · Cited by 21

Towards port-knocking authentication methods for mobile cloud computing

Khan, S., Shiraz, M., Boroumand, L., Gani, A., & Khan, M. K. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.08.018 · Cited by 21

Locality-Aware Load Sharing in Mobile Cloud Computing

Jonathan, A., Chandra, A., & Weissman, J. (2017) · IEEE/ACM International Conference on Utility and Cloud Computing (UCC) · doi:10.1145/3147213.3147228 · Cited by 21

Dynamic tasks scheduling based on weighted bi-graph in Mobile Cloud Computing

Wang, T., Wei, X., Liang, T., & Fan, J. (2018) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2018.05.004 · Cited by 21

Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand

Shatilov, K., Chatzopoulos, D., Hang, A. W. T., & Hui, P. (2019) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3351260 · Cited by 21

Performance Modeling of Delayed Offloading in Mobile Wireless Environments With Failures

Wu, H. (2018) · IEEE Communications Letters · doi:10.1109/lcomm.2018.2866585 · Cited by 21

Characterizing the Deep Neural Networks Inference Performance of Mobile ApplicationsPreprint

Ogden, S. S., & Guo, T. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.04783 · Cited by 24

TinMan

Xia, Y., Liu, Y., Tan, C. L., Ma, M., Guan, H., Zang, B., & Chen, H. (2015) · European Conference on Computer Systems · doi:10.1145/2741948.2741977 · Cited by 20

A Lightweight Distributed Framework for Computational Offloading in Mobile Cloud Computing

Shiraz, M., Gani, A., Ahmad, R. W., Shah, S. A. A., Karim, A., & Rahman, Z. B. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102270 · Cited by 20

Nearby live virtual machine migration using cloudlets and multipath TCP

Teka, F., Lung, C., & Ajila, S. A. (2016) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-016-0061-0 · Cited by 20

Adaptive Context-Aware Energy Optimization for Services on Mobile Devices with Use of Machine Learning

Nawrocki, P., & Śnieżyński, B. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07657-9 · Cited by 20

Detecting energy leaks in Android app with POEM

Ferrari, A., Gallucci, D., Puccinelli, D., & Giordano, S. (2015) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2015.7134075 · Cited by 20

MpOS

Costa, P. B., Rêgo, P. A. L., Rocha, L. S., Trinta, F. A. M., & de Souza, J. N. (2015) · ACM Symposium on Applied Computing · doi:10.1145/2695664.2695945 · Cited by 20

MPaaS: Mobility prediction as a service in telecom cloud

Xiong, H., Zhang, D., Zhang, D., Gauthier, V., Yang, K., & Becker, M. (2013) · Information Systems Frontiers · doi:10.1007/s10796-013-9476-z · Cited by 20

Enabling Automatic Offloading of Resource-Intensive Smartphone Applications

Pathak, A., Hu, Y., Zhang, M., Bahl, P., & Wang, Y. (2011) · Purdue e-Pubs (Purdue University System) · Cited by 20

An adaptive mobile cloud computing framework using a call graph based model

Kaya, M., Koçyiğit, A., & Eren, P. E. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.02.013 · Cited by 20

Sidewinder

Liaqat, D., Jingoi, S., de Lara, E., Goel, A., To, W., Lee, K., Garcia, I. D. M., & Saldaña, M. (2016) · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · doi:10.1145/2872362.2872398 · Cited by 20

MobiDiC: Exploiting the untapped potential of mobile distributed computing via approximation

Pandey, P., & Pompili, D. (2016) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2016.7456515 · Cited by 20

Adaptive cloud offloading for vehicular applications

Ashok, A., Steenkiste, P., & Bai, F. (2016) · IEEE Vehicular Networking Conference (VNC) · doi:10.1109/vnc.2016.7835966 · Cited by 20

Understanding storage I/O behaviors of mobile applications

Courville, J., & Chen, F. (2016) · Digest of papers - IEEE Symposium on Mass Storage Systems · doi:10.1109/msst.2016.7897092 · Cited by 20

Network Aware Multi-User Computation Partitioning in Mobile Edge Clouds

Yang, L., Cao, J., Wang, Z., & Wu, W. (2017) · Proceedings of the International Conference on Parallel Processing · doi:10.1109/icpp.2017.39 · Cited by 20

An energy-efficient offloading framework with predictable temporal correctness

Dong, Z., Liu, Y., Zhou, H., Xiao, X., Gu, Y. J., Zhang, L., & Liu, C. (2017) · ACM/IEEE Symposium on Edge Computing (SEC) · doi:10.1145/3132211.3134448 · Cited by 20

Formal definition of edge computing: An emphasis on mobile cloud and IoT composition

Mahmoudi, C., Mourlin, F., & Battou, A. (2018) · International Conference on Fog and Mobile Edge Computing (FMEC) · doi:10.1109/fmec.2018.8364042 · Cited by 20

Adaptive fault-tolerant scheduling strategies for mobile cloud computing

Lee, J., & Gil, J. (2019) · The Journal of Supercomputing · doi:10.1007/s11227-019-02745-5 · Cited by 20

Unleashing the Power of Participatory IoT with Blockchains for Increased Safety and Situation Awareness of Smart Cities

Hamdaoui, B., Alkalbani, M., Znati, T. F., & Rayes, A. (2019) · IEEE Network · doi:10.1109/mnet.001.1900253 · Cited by 20

Manageable Granularity in Mobile Application Code Offloading for Energy Savings

Yang, S. (2012) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/greencom.2012.93 · Cited by 8

Optimal Predictive Code Offloading

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