An energy-aware service composition algorithm for multiple cloud-based IoT applications

Journal of Network and Computer Applications

Volumn 89, Issue , 2017, Pages 96-108

  Baker, Thar ^a   Asim, Muhammad ^b   Tawfik, Hissam ^c   Aldawsari, Bandar ^a   Buyya, Rajkumar ^d  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES   (Pakistan)

^c LEEDS METROPOLITAN UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Energy efficiency; IoT; Multi cloud; Service composition

Indexed keywords

BIG DATA; CARBON; CLOUD COMPUTING; DATA REDUCTION; DIGITAL STORAGE; ELECTRONIC DATA INTERCHANGE; ENERGY EFFICIENCY; ENERGY UTILIZATION; GREEN COMPUTING; METADATA; POWER MANAGEMENT; QUALITY OF SERVICE; VIRTUAL STORAGE; WEB CRAWLER; WEB SERVICES; WEBSITES;

BUSINESS REQUIREMENT; COMMUNICATION AND COLLABORATIONS; INTERCONNECTED NODES; INTERNET OF THING (IOT); MULTI-CLOUDS; SERVICE COMPOSITIONS; TRANSFORMATION MODELLING; VISUALIZATION PLATFORMS;

INTERNET OF THINGS;

EID: 85017157164     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2017.03.008     Document Type: Article

References (69)

1. Aiello, M., Khoury, E.E., Lazovik, A., Ratelband, P., 2009. Optimal qos aware web service composition. In: IEEE International Conference on Commerce and Enterprise Computing, pp. 491–494.
2. Alberti, A.M., dos Reis, E.S., Righi, R. da R., Munoz, V.M., Chang, V., 2016. Converging future internet, things, and big data: A specification following novagenesis model. In: Proceedings of the first international conference on Internet of Things and Big Data.
3. Aldawsari, B., Baker, T., England, D., Trusted energy efficient cloud-based services brokerage platform. Int. J. Intell. Comput. Res. (IJICR) 6:3 (2016), 630–639.
4. Alrifai, M., Risse, T., Nejdl, W., A hybrid approach for efficient web service composition with end-to-end qos constraints. ACM Trans. Web (TWEB) 6:2 (2012), 111–130.
5. Antonio, P.J., Fernandez, S.S.P., Ruiz-Cortés, A., Qos-aware web services composition using grasp with path relinking. Expert Syst. Appl. 41:9 (2014), 4211–4223.
6. Avilés-López, E., García-Macías, J., 2009. Tinysoa: a service-oriented architecture for wireless sensor networks. Service Oriented Computing and Applications, Springer 3(2), pp. 99–108.
7. Baker, T., Al-Dawsari, B., Tawfik, H., Ngoko, Y., Greedi: An energy efficient routing algorithm for big data on cloud. Ad Hok Netw. 35 (2015), 83–96.
8. Baker, T., Ngoko, Y., Tolosana-Calasanz, R., Rana, O.F., Randles, M., 2013. Energy efficient cloud computing environment via meta-director framework. In: Proceedings of the 6th IEEE international Conference on Developments in E-Systems Engineering (DeSE 2013), IEEE, pp. 130–136.
9. Bartalos, P., Blake, M.B., 2012. Engineering energy-aware web services toward dynamically-green computing. In: Proceedings of the Service-Oriented Computing-ICSOC 2011 Workshops, Springer, pp. 87–96.
10. Borgia, E., The internet of things vision: Key features, applications and open issues. Comput. Commun. 54 (2014), 1–31.
11. Botta, A., de Donato, W., Persico, V., Pescapé, A., 2014. On the integration of cloud computing and internet of things. In: 2014 International Conference on Future Internet of Things and Cloud (FiCloud), IEEE, pp. 23–30.
12. Cavalcante, E., Pereiraa, J., Alvesc, M.P., Maiaa, P., Mouraa, R., Batistaa, T., Delicatoc, F.C., Piresc, P.F., On the interplay of internet of things and cloud computing: A systematic mapping study. Comput. Commun. 89:90 (2016), 17–33.
13. Chang, V., Ramachandran, M., Towards achieving data security with the cloud computing adoption framework. IEEE Trans. Serv. Comput. 9:1 (2015), 138–151.
14. Chang, V., Kuo, Y.-H., Ramachandrana, M., Cloud computing adoption framework: A security framework for business clouds. Future Gener. Compte. Syst. 57 (2016), 24–41.
15. Chen, S., Member, S., Xu, H., Liu, D., Hu, B., Wang, H., A vision of iot: Applications, challenges, and opportunities with china perspective. IEEE Internet Things J., 1(4), 2014 (349–259).
16. Constante, E., Paci, F., Zannone, N., 2013. Privacy-aware web service composition and ranking. In: Proceedings of the 20th International Conference on Web Services (ICWS) IEEE, pp. 131–138.
17. Dar, K., Taherkordi, A., Rouvoy, R.V.R., Eliassen, F., 2011. Adaptable service composition for very-large-scale internet of things systems. In: Proceedings of the Workshop on Posters and Demos Track PDT'11, ACM, pp. 1–11.
18. Dinesh, K., Poornima, G., Kiruthika, K., Efficient resources allocation for different jobs in cloud. Int. J. Comput. Appl. 56:10 (2012), 30–35.
19. Elshaaf, H., Botvich, D., Trustworthiness inference of multi-tenant component services in service compositions. J. Converg. 4:1 (2013), 31–37.
20. Gouda, K., Radhika, T., Akshatha, M., Priority based resource allocation model for cloud computing. Int. J. Sci. Eng. Technol. (IJSET) 2:1 (2013), 215–219.
21. Guinard, D., Trifa, V., Karnouskos, S., Spiess, P., Savio, D., Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services. IEEE Trans. Serv. Comput. 3:3 (2010), 223–235.
22. Jararweh, Y., Al-Ayyoub, M., Darabseh, A., Benkhelifa, E., Vouk, M., Rindos, A., Sdiot: a software defined based internet of things framework. J. Ambient Intell. Humaniz. Comput. 6:4 (2015), 453–461.
23. Jiang, W., Hu, S., Huang, Z., Liu, Z., Handler, Q.D., 2010. Two-phase graph search algorithm for qos-aware automatic service composition. In: International Conference on Service-Oriented Computing and Applications.
24. Jun, H., Meng, Y., Gong, X., Liu, Y., Duan, Q., A novel deployment scheme for green internet of things. IEEE Internet Things J. 1:2 (2014), 196–205.
25. Karunamurthy, R., Khendek, F., Glitho, R.H., A novel architecture for web service composition. J. Netw. Comput. Appl. 35 (2011), 787–802.
26. Klusch, M., Gerber, A., 2006. Fast composition planning of owl-s services and application. In: In Proceedings of the 4th Eruopean Conference on Web Services, pp. 181–190.
27. Kovatsch, M., Lanter, M., Duquennoy, S., Actinium: A restful runtime container for scriptable internet of things applications. Internet Things, 2012, 135–142.
28. Kurdi, H., Al-Anazi, A., Campbell, C., Faries, A.A., A combinatorial optimization algorithm for multiple cloud service composition. Comput. Electr. Eng. 42:C (2015), 107–113.
29. L.F., M.N., 2010. Seeking quality of web service composition in a semantic dimension, IEEE Transactions on Knowledge and Data Engineering (TKDE) 23 (6), pp. 942–959.
30. Lassila, O., Dixit, S., 2004. Interleaving discovery and composition for simple workflows. In: Proceedings Semantic Web Services, AAAI Spring Symp. Series, pp. 22–26.
31. Li, F., Vogler, M., Claeßens, M., Dustdar, S., 2013. Efficient and scalable iot service delivery on cloud. In: Proceedings of the Sixth International Conference on Cloud Computing (CLOUD) IEEE, pp. 740–747.
32. Liang, J., Chen, J., Cheng, H., Tseng, Y., An energy-efficient sleep scheduling with qos consideration in 3gpp lte-advanced networks for internet of things. IEEE J. Emerg. Sel. Top. Circuits Syst. 3:1 (2013), 13–22.
33. Luo, J., Zhou, J., Wu, Z., An adaptive algorithm for qosaware service composition in grid environments. Serv. Oriented Comput. Appl. 3:3 (2009), 217–226.
34. Luo, Z., Zhou, J., Wu, Z., An adaptive algorithm for qosaware service composition in grid environments. Serv. Oriented Comput. Appl. 3:3 (2009), 217–226.
35. Martinez, A., Patino-Matinez, M., Jimenez-Peris, R., 2005. Zenflow: a visual web service composition tool for bpel4ws. In: Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, pp. 181–188.
36. Mell, P., Grance, T., The nist definition of cloud computing. National Institute of Standards and Technology (NIST).
37. Mital, M., Chang, V., Choudhary, P., Pani, A., Sun, Z., Adoption of cloud based internet of things in india: A multiple theory perspective. International Journal of Information Management.
38. Mukesh, T., 2014. A framework for power saving in iot networks. In: In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 369–375.
39. Nacer, H., Aissani, D., Semantic web services: Standards, applications, challenges and solution. J. Netw. Comput. Appl. 44 (2014), 134–151.
40. Nair, S., Porwal, S., Dimitrakos, T., Ferrer, A., Tordsson, J., Sharif, T., Sheridan, C., Rajarajan, M., Khan, A., 2010. Towards secure cloud bursting, brokerage and aggregation. In: IEEE Proceedings of the 8th European Conference on Web Services (ECOWS), IEEE, pp. 189–196.
41. Nastic, S., Sehic, S., Le, D.-H., Truong, H.-L., Dustdar, S., 2014. Provisioning software-defined iot cloud systems. In: International conference on future internet of things and cloud (FiCloud), pp. 288–295.
42. Object management group, business process model and notation (bpmn) version 2.0 [online] (May 2016) [cited March 2017]. 〈 http://www.omg.org/spec/BPMN/2.0/〉.
43. Park, E., Shin, H., Reconfigurable service composition and categorization for power-aware mobile computing. Parallel Distrib. Syst. 19:11 (2008), 1553–1564.
44. Pi, B., Zou, G., Zhong, C., Zhang, J., Yu, H., Matsuo, A., 2012. Flow editor: Semantic web service composition tool. In: Proceedings of the Ninth International conference on Service Computing (SCC) IEEE, pp. 666–667.
45. Ponnekanti, S.R., Fox, A., 2012. Sword: A developer toolkit for web service composition. In: In Proceedings of the Eleventh World Wide Conference.
46. Rao, J., Kungas, P., Matskin, M., Composition of semantic web services using linear logic theorem proving. Inf. Syst. 31:4/5 (2006), 340–360.
47. Rodrguez-Mier, P., Mucientes, M., Vidal, J.C., Lama, M., An optimal and complete algorithm for automatic web service composition. Int. J. Web Serv. Res. 9:2 (2012), 1–20.
48. Rodriguez-Mier, P., Mucientes, M., Lama, M., 2012. A dynamic qosaware semantic web service composition algorithm. In: in International Conference on Service-Oriented Computing.
49. Romana, R., Zhoua, J., Lopezb, J., On the features and challenges of security and privacy in distributed internet of things. Comput. Netw. 57:10 (2013), 2266–2279.
50. Rose, K., Eldridge, S., Chapin, L., 2015. The internet of things: An overview understanding the issues and challenges of a more connected world. Report report-InternetofThings-20151015-en, Internet Society.
51. Soldatos, J., Serrano, M., Hauswirth, M., 2012. Convergence of utility computing with the internet-of-things. In: Proceedings of the Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), IEEE, pp. 874–879.
52. Stankovic, J.A., Research directions for the internet of things. IEEE Internet Things J. 1:1 (2014), 3–9.
53. Tei, K., Gurgen, L., 2014. Clout: Cloud of things for empowering the citizen clout in smart cities. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), pp. 369–370.
54. Vermesan, O., Friess, P., Guillemin, P., Gusmeroli, S., Sundmaeker, H., Bassi, A., Jubert, I.S., Mazura, M., Harrison, M., Eisenhauer, M., Doody, P., 2011. Internet of things strategic research roadmap. In: Cluster of European Research Projects on the Internet of Things, CERP-IoT, European Commission - Information Society and Media DG.
55. Victoria, M., Terroso-Sáenz, F., González-Vidal, A., Valdés-Vela, M., Skarmeta, A.F., Zamora, M.A., Chang, V., Applicability of big data techniques to smart cities deployments. IEEE Trans. Ind. Inform. PP 99 (2016), 1–10.
56. Villars, R.L., Cooke, J., MacGillivray, C., 2015. Impact of internet of things on datacenter demand and operations, Special Study 255397, IDC Analyze the Future.
57. Wang, X., Wang, J., Zheng, Z., Xu, Y., Yang, M., 2009. Service composition in service-oriented wireless sensor networks with persistent queries. In: Proceedings of the 6th IEEE Consumer Communications and Networking Conference, IEEE, pp. 1–5.
58. Whitmore, A., Agarwal, A., Xu, L.D., The internet of things–a survey of topics and trends. Inf. Syst. Front., 17(2), 2015, 261.
59. Wu, D., Parsia, B., Sirin, E., Hendler, J., Nau, D., 2003. Automating daml-s web services composition using shop2. In: Proceedings International Semantic Web Conference, pp. 195–210.
60. Xu, L.D., He, W., Li, S., Internet of things in industries: A survey. IEEE Trans. Ind. Inform. 10:4 (2014), 2233–2243.
61. Yamini, B., Selvi, D., 2010. Cloud virtualization: A potential way to reduce global warming. In: Recent Advances in Space Technology Services and Climate Change (RSTSCC), pp. 55–57.
62. Yan, Y., Xu, B., Gu, Z., Luo, S., 2009. A qos-driven approach for semantic service composition. In: IEEE International Conference on Commerce and Enterprise Computing, pp. 523–526.
63. Yazar, D., Dunkels, A., 2009. Efficient application integration in ip-based sensor networks. In: In Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, BuildSys ’09, pp. 43–48.
64. Yue, H., Guo, L., Li, R., Asaeda, H., Fang, Y., Dataclouds: Enabling community-based data-centric services over internet of things. IEEE Internet Things J. 1:5 (2014), 472–482.
65. Yuriyama, M., Kushida, T., 2010. Sensor-cloud infrastructure—physical sensor management with virtualized sensors on cloud computing. In: Proceedings of the 13th International Conference on Network-Based Information Systems (NBiS ’10), Takayama, Japan, pp. 1–8.
66. Zeeshan, A., Yoon, W., A survey on energy conserving mechanisms for the internet of things: wireless networking aspects. Sensors 15:10 (2015), 24818–24847.
67. Zhang, L., Fowley, F., Pahl, C., 2014. A template description framework for services as a utility for cloud brokerage. In: Proceedings of the 4th International Conference on Cloud Computing and Service Science, SCITEPRESS – Science and Technology Publications.
68. Zhang, R., Arpinar, I., Aleman-Meza, B., 2003. Automatic composition of semantic web services. In: Proceedings of International Connference of Web Services, pp. 38–41.
69. Zou, G., Chen, Y., Xiang, Y., Huang, R., Xu, Y., 2010. Ai planning and combinatorial optimization for web service composition in cloud computing. In: Annual International Conference on Cloud Computing and Virtualization (CCV 2010), pp. 28.