research-article

A generic middleware framework for handling process intensive hybrid cloud services from mobiles

Authors:

Satish Narayana Srirama,

Carlos PaniaguaAuthors Info & Claims

MoMM '11: Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia

Pages 87 - 94

https://doi.org/10.1145/2095697.2095715

Published: 05 December 2011 Publication History

Abstract

Mobile technologies are drawing their attention to the cloud computing due to the increasing demand of the applications, for processing power, storage space and energy. However, developing mobile cloud applications involves working with services and APIs from different cloud vendors. Most often these APIs are not interoperable and the information processed and stored into the cloud is non-transferable across clouds. To counter these problems, a generic middleware framework, Mobile Cloud Middleware (MCM) is designed, which handles the interoperability issues, and eases the use of process-intensive services from mobile phones. A prototype of MCM is developed and several applications are demonstrated in different domains. Moreover, to verify the scalability of MCM, load tests are performed on the hybrid cloud resources. The detailed performance analysis of the middleware framework shows that MCM improves the quality of service for mobiles and helps in maintaining soft-real time responses for mobile cloud applications.

References

[1]

Amazon, Inc. Amazon - Amazon Web Services. http://aws.amazon.com/.

[2]

Apple, Inc. APNS. http://developer.apple.com/library/ios/.

[3]

Apple Inc. IPhone. http://www.apple.com/iphone/.

[4]

M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, et al. Above the clouds: A berkeley view of cloud computing. EECS Department, University of California, Berkeley, Tech., 2009.

[5]

J. Armstrong, R. Virding, C. Wikstrom, and M. Williams. Concurrent programming in erlang. 1996.

Digital Library

[6]

R. Aversa, B. Di Martino, M. Rak, and S. Venticinque. Cloud agency: A mobile agent based cloud system. In Int. Conf. On Complex, Intelligent and Software Intensive Systems, pages 132--137. IEEE, 2010.

Digital Library

[7]

D. Borthakur. The hadoop distributed file system: Architecture and design. Hadoop Website, 2007.

[8]

D. M. Boyd and N. B. Ellison. Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13:210--230, 2008.

Digital Library

[9]

E. Cerami and S. Laurent. Web services essentials. O'Reilly & Associates, Inc. Sebastopol, USA, 2002.

Digital Library

[10]

D. Comer. Internetworking with TCP/IP, Volume I, Principles, Protocols, and Architecture, volume 3. Prentice hall Englewood Cliffs, NJ, 1995.

Digital Library

[11]

facebook. facebook - mobile. http://www.facebook.com/mobile/.

[12]

Face.com. Face.com. http://face.com/.

[13]

Google, Inc. AC2DM. http://code.google.com/android/c2dm/index.html.

[14]

Google Inc. Android. http://www.android.com/.

[15]

Gsm Arena. Gsm Arena - HTC Desire. http://www.gsmarena.com/htc_desire-3077.php, 2011.

[16]

U. Hansmann, R. Mettala, A. Purakayastha, and P. Thompson. SyncML: Synchronizing and managing your mobile data. Prentice Hall, 2003.

Digital Library

[17]

HAProxy. The Reliable, High Performance TCP/HTTP Load Balancer. http://haproxy.1wt.eu/.

[18]

jets3t. jetS3t - An open source Java toolkit for Amazon S3 and CloudFront. http://jets3t.s3.amazonaws.com/toolkit/guide.html.

[19]

JSON. JSON. http://www.json.org/.

[20]

D. Kovachev, D. Renzel, R. Klamma, and Y. Cao. Mobile community cloud computing: Emerges and evolves. In 11th Int. Conf. On Mobile Data Management (MDM), pages 393--395, 2010.

Digital Library

[21]

P. Narasimhan. Agora: mobile cloud-computing middleware. http://www.cylab.cmu.edu/research/projects/2010/.

[22]

D. Nurmi, R. Wolski, C. G. G. Obertelli, S. Soman, L. Youseff, and D. Zagorodnov. The Eucalyptus Open-source Cloud-computing System. 2011.

[23]

A. Onetti and F. Capobianco. Open source and business model innovation. the funambol case. In Int. Conf. On OS Systems Genova, 11th-15th July, pages 224--227, 2005.

[24]

P. Saint-André, K. Smith, and R. Troncon. XMPP: the definitive guide: building real-time applications with Jabber. O'Reilly Media, 2009.

Digital Library

[25]

S. N. Srirama, O. Batrashev, and E. Vainikko. SciCloud: Scientific Computing on the Cloud. In 10th IEEE/ACM Int. Sym. On Cluster, Cloud and Grid Computing(CCGrid 2010), page 579, 2010.

Digital Library

[26]

S. N. Srirama, H. Flores, and C. Paniagua. Zompopo: Mobile Calendar Prediction based on Human Activities Recognition using the Accelerometer and Cloud Services. In 5th Int. Conf. On Next Generation Mobile Applications, Services and Technologies (NGMAST), pages 63--69. IEEE CS, 2011.

Digital Library

[27]

S. N. Srirama and M. Jarke. Mobile hosts in enterprise service integration. Int. Journal of Web Engineering and Technology (IJWET), 5(2):187--213, 2009.

Digital Library

[28]

S. N. Srirama, M. Jarke, and W. Prinz. Mobile web services mediation framework. In Middleware for Service Oriented Computing (MW4SOC) Workshop @ 8th Int. Middleware Conf. 2007. ACM Press, 2007.

Digital Library

[29]

S. N. Srirama, C. Paniagua, and H. Flores. CroudSTag: Social Group Formation with Facial Recognition and Mobile Cloud Services. Procedia Computer Science, 5:633--640, 2011.

[30]

Tsung. A distributed load testing tool. http://tsung.erlang-projects.org/.

[31]

Q. Wang and R. Deters. SOA's last mile connecting smartphones to the service cloud. In IEEE Int. Conf. On Cloud Computing, pages 80--87, 2009.

Digital Library

Cited By

Akbar ALewis P(2019)The importance of granularity in multiobjective optimization of mobile cloud hybrid applicationsTransactions on Emerging Telecommunications Technologies10.1002/ett.352630:8Online publication date: 14-Aug-2019
https://dl.acm.org/doi/10.1002/ett.3526
Novac ONovac MGabriel PGordan M(2018)Comparison of APNs and GCM mobile platforms notifications services2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI.2018.8679096(1-4)Online publication date: Jun-2018
https://doi.org/10.1109/ECAI.2018.8679096
R RMeloca RRoma DIsmael MSilva G(2018)An empirical study for evaluating the performance of multi-cloud APIsFuture Generation Computer Systems10.1016/j.future.2017.09.00379:P2(726-738)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.future.2017.09.003
Show More Cited By

Index Terms

A generic middleware framework for handling process intensive hybrid cloud services from mobiles
1. Computer systems organization
  1. Architectures
    1. Parallel architectures
      1. Cellular architectures
2. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

Recommendations

A Trust Management Solution in the Context of Hybrid Clouds
WETICE '14: Proceedings of the 2014 IEEE 23rd International WETICE Conference

Cloud computing is a revolutionary paradigm which enables on-demand provisioning of computing resources. Resources are delivered to cloud consumers in the form of infrastructure, platform and software services. These resources are deployed on three ...
A Framework and Middleware for Application-Level Cloud Bursting on Top of Infrastructure-as-a-Service Clouds
UCC '13: Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing

A core idea of cloud computing is elasticity, i.e., enabling applications to adapt to varying load by dynamically acquiring and releasing cloud resources. One concrete realization is cloud bursting, which is the migration of applications or parts of ...
Policy-driven middleware for heterogeneous, hybrid cloud platforms
ARM '13: Proceedings of the 12th International Workshop on Adaptive and Reflective Middleware

The cloud computing paradigm promises increased flexibility and scalability. However, in private cloud environments this flexibility and scalability is constrained by the limited capacity. On the other hand, organizations are reluctant to migrate to ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

MoMM '11: Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia

December 2011

318 pages

ISBN:9781450307857

DOI:10.1145/2095697

Conference Chair:
Wenny Rahayu
La Trobe University, Australia
,
General Chairs:
Eric Pardede
La Trobe University, Australia
,
Nguyen Duc Cuong
International University (VNU-HCMC), Vietnam
,
Program Chair:
David Taniar
Monash University, Australia

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MoMM '11

MoMM '11: The 9th International Conference on Advances in Mobile Computing & Multimedia

December 5 - 7, 2011

Ho Chi Minh City, Vietnam

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

36
Total Citations
View Citations
1,081
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)1

Reflects downloads up to 05 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Akbar ALewis P(2019)The importance of granularity in multiobjective optimization of mobile cloud hybrid applicationsTransactions on Emerging Telecommunications Technologies10.1002/ett.352630:8Online publication date: 14-Aug-2019
https://dl.acm.org/doi/10.1002/ett.3526
Novac ONovac MGabriel PGordan M(2018)Comparison of APNs and GCM mobile platforms notifications services2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI.2018.8679096(1-4)Online publication date: Jun-2018
https://doi.org/10.1109/ECAI.2018.8679096
R RMeloca RRoma DIsmael MSilva G(2018)An empirical study for evaluating the performance of multi-cloud APIsFuture Generation Computer Systems10.1016/j.future.2017.09.00379:P2(726-738)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.future.2017.09.003
Nadjaran Toosi ASinnott RBuyya R(2018)Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using AnekaFuture Generation Computer Systems10.1016/j.future.2017.05.04279:P2(765-775)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.future.2017.05.042
Akbar ALewis P(2017)Towards the optimization of power and bandwidth consumption in mobile-cloud hybrid applications2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)10.1109/FMEC.2017.7946433(213-218)Online publication date: May-2017
https://doi.org/10.1109/FMEC.2017.7946433
Nadjaran Toosi ABuyya R(2017)Virtual Networking with Azure for Hybrid Cloud Computing in AnekaResearch Advances in Cloud Computing10.1007/978-981-10-5026-8_5(93-114)Online publication date: 28-Dec-2017
https://doi.org/10.1007/978-981-10-5026-8_5
Flores HKostakos VTarkoma SHui PLi Y(2017)Evidence-Aware Mobile Cloud ArchitecturesMobile Big Data10.1007/978-3-319-67925-9_4(65-84)Online publication date: 1-Nov-2017
https://doi.org/10.1007/978-3-319-67925-9_4
Chunlin LYanpei LYoulong L(2017)Energy‐aware cross‐layer resource allocation in mobile cloudInternational Journal of Communication Systems10.1002/dac.325830:12Online publication date: 9-Jan-2017
https://doi.org/10.1002/dac.3258
OSullivan MGrigoras D(2016)Context Aware Mobile Cloud Services: A User Experience Oriented Middleware for Mobile Cloud Computing2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)10.1109/MobileCloud.2016.13(67-72)Online publication date: Mar-2016
https://doi.org/10.1109/MobileCloud.2016.13
Lomotey RPry JSumanth SGuttikonda HChai CNilson JDeters R(2016)Using Cloud-Based Middleware to Enable Mobile Medical Data Management2016 IEEE International Conference on Mobile Services (MS)10.1109/MobServ.2016.29(142-149)Online publication date: Jun-2016
https://doi.org/10.1109/MobServ.2016.29
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents