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

Mobile Cloud Computing (MCC) brings rich computational resource to mobile users, network operators, and cloud computing providers. It can be represented in many ways, and the ultimate goal of MCC is to enable execution of rich mobile application with rich user experience. Mobility is one of the main characteristics of MCC environment where user can be able to continue their work regardless of movement. This literature review paper presents the state-of-the-art survey of MCC. Also, we provide the communication architecture of MCC and taxonomy of mobile cloud in which specifically concentrates on offloading, mobile distribution computing, and privacy. Through an extensive literature review, we found that MCC is a technologically beneficial and expedient paradigm for virtual environments in terms of virtual servers in a distributed environment, multi-tenant architecture and data storing in a cloud. We further identified the drawbacks in offloading, mobile distribution computing, privacy of MCC and how this technology can be used in an effective way.

[1]  Siddhartha S. Srinivasa,et al.  Object recognition and full pose registration from a single image for robotic manipulation , 2009, 2009 IEEE International Conference on Robotics and Automation.

[2]  Eric Horvitz,et al.  Predestination: Where Do You Want to Go Today? , 2007, Computer.

[3]  Brent Waters,et al.  Attribute-based encryption for fine-grained access control of encrypted data , 2006, CCS '06.

[4]  Ariel J. Feldman,et al.  SPORC: Group Collaboration using Untrusted Cloud Resources , 2010, OSDI.

[5]  J. Wenny Rahayu,et al.  Mobile cloud computing: A survey , 2013, Future Gener. Comput. Syst..

[6]  Patrick Th. Eugster,et al.  Practical Confidentiality Preserving Big Data Analysis , 2014, HotCloud.

[7]  Bruce Schneier,et al.  Description of a New Variable-Length Key, 64-bit Block Cipher (Blowfish) , 1993, FSE.

[8]  Mojtaba Alizadeh,et al.  Authentication in mobile cloud computing: A survey , 2016, J. Netw. Comput. Appl..

[9]  Pi-Cheng Hsiu,et al.  A Cloud-Based Offloading Service for Computation-Intensive Mobile Applications , 2015, 2015 IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications.

[10]  Chandramohan A. Thekkath,et al.  StarTrack: a framework for enabling track-based applications , 2009, MobiSys '09.

[11]  Tim Verbelen,et al.  Cloudlets: bringing the cloud to the mobile user , 2012, MCS '12.

[12]  Victor C. M. Leung,et al.  Enabling technologies for future data center networking: a primer , 2013, IEEE Network.

[13]  S. Salhi,et al.  A survey of effective heuristics and their application to a variety of knapsack problems , 2007 .

[14]  T. Elgamal.  A public key cryptosystem and a signature scheme based on discrete logarithms , 1984, CRYPTO 1984.

[15]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[16]  Anwitaman Datta,et al.  Towards secure outsourcing of collaborative sensing and analytic applications to the cloud - the pCloud approach , 2013, MCS '13.

[17]  Kun Yang,et al.  On effective offloading services for resource-constrained mobile devices running heavier mobile Internet applications , 2008, IEEE Communications Magazine.

[18]  Ravi Kumar,et al.  Pig latin: a not-so-foreign language for data processing , 2008, SIGMOD Conference.

[19]  Ramón Cáceres,et al.  Towards synchronization of live virtual machines among mobile devices , 2013, HotMobile '13.

[20]  Roksana Boreli,et al.  Information leakage through mobile analytics services , 2014, HotMobile.

[21]  Pan Hui,et al.  ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading , 2012, 2012 Proceedings IEEE INFOCOM.

[22]  Ramesh Govindan,et al.  Odessa: enabling interactive perception applications on mobile devices , 2011, MobiSys '11.

[23]  Vincent Rijmen,et al.  The Design of Rijndael: AES - The Advanced Encryption Standard , 2002 .

[24]  Gary R. Bradski,et al.  Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library , 2016 .

[25]  Michael J. Carey,et al.  The PigMix Benchmark on Pig, MapReduce, and HPCC Systems , 2015, 2015 IEEE International Congress on Big Data.

[26]  Paramvir Bahl,et al.  Advancing the state of mobile cloud computing , 2012, MCS '12.

[27]  Byung-Gon Chun,et al.  CloneCloud: elastic execution between mobile device and cloud , 2011, EuroSys '11.

[28]  Rahul Sukthankar,et al.  SLIPstream: scalable low-latency interactive perception on streaming data , 2009, NOSSDAV '09.

[29]  Weiqing Zhao,et al.  Improving computer basis teaching through mobile communication and cloud computing technology , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[30]  Hari Balakrishnan,et al.  Code in the air: simplifying sensing and coordination tasks on smartphones , 2012, HotMobile '12.

[31]  Matthew Green,et al.  Outsourcing the Decryption of ABE Ciphertexts , 2011, USENIX Security Symposium.

[32]  Hari Balakrishnan,et al.  CryptDB: protecting confidentiality with encrypted query processing , 2011, SOSP.

[33]  Deborah Estrin,et al.  PEIR, the personal environmental impact report, as a platform for participatory sensing systems research , 2009, MobiSys '09.

[34]  Li Xu,et al.  A trustworthy access control model for mobile cloud computing based on reputation and mechanism design , 2015, Ad Hoc Networks.

[35]  Aleksandar Kuzmanovic,et al.  Measuring serendipity: connecting people, locations and interests in a mobile 3G network , 2009, IMC '09.

[36]  Athanasios V. Vasilakos,et al.  Mobile Cloud Computing: A Survey, State of Art and Future Directions , 2013, Mobile Networks and Applications.

[37]  Patrick Stuedi,et al.  WhereStore: location-based data storage for mobile devices interacting with the cloud , 2010, MCS '10.

[38]  Martin Schulz,et al.  Exploiting Redundancy and Application Scalability for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2 , 2016, IEEE Transactions on Parallel and Distributed Systems.

[39]  Yung-Hsiang Lu,et al.  Cloud Computing for Mobile Users: Can Offloading Computation Save Energy? , 2010, Computer.

[40]  Pan Hui,et al.  Clone2Clone (C2C): Peer-to-Peer Networking of Smartphones on the Cloud , 2013, HotCloud.

[41]  Alec Wolman,et al.  MAUI: making smartphones last longer with code offload , 2010, MobiSys '10.

[42]  Adel M. Alimi,et al.  Towards an Offloading Framework based on Big Data Analytics in Mobile Cloud Computing Environments , 2015, INNS Conference on Big Data.

[43]  Catherine C. Marshall,et al.  Cimbiosys: a platform for content-based partial replication , 2009, NSDI 2009.