Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things
The increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. However, the industry encounters various chal...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2016/3292783 |
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| author | Mihui Kim Mihir Asthana Siddhartha Bhargava Kartik Krishnan Iyyer Rohan Tangadpalliwar Jerry Gao |
| author_facet | Mihui Kim Mihir Asthana Siddhartha Bhargava Kartik Krishnan Iyyer Rohan Tangadpalliwar Jerry Gao |
| author_sort | Mihui Kim |
| collection | DOAJ |
| description | The increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. However, the industry encounters various challenges in the dynamic provisioning of on-demand CSaaS on diverse sensor networks. We require a system that will provide users with standardized access to various sensor networks and a level of abstraction that hides the underlying complexity. In this study, we aim to develop a cloud-based solution to address the challenges mentioned earlier. Our solution, SenseCloud, includes a sensor virtualization mechanism that interfaces with diverse sensor networks, a multitenancy mechanism that grants multiple users access to virtualized sensor networks while sharing the same underlying infrastructure, and a dynamic provisioning mechanism to allow the users to leverage the vast pool of resources on demand and on a pay-per-use basis. We implement a prototype of SenseCloud by using real sensors and verify the feasibility of our system and its performance. SenseCloud bridges the gap between sensor providers and sensor data consumers who wish to utilize sensor data. |
| format | Article |
| id | doaj-art-8768fc52e4c74d1ab2c1cec53f6e8958 |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-8768fc52e4c74d1ab2c1cec53f6e89582025-02-03T06:07:10ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2016-01-01201610.1155/2016/32927833292783Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of ThingsMihui Kim0Mihir Asthana1Siddhartha Bhargava2Kartik Krishnan Iyyer3Rohan Tangadpalliwar4Jerry Gao5Department of Computer Science & Engineering, Computer System Institute, Hankyong National University, 327 Jungang-ro, Anseong-si, Gyeonggi-do 456-749, Republic of KoreaComputer Engineering Department, San Jose State University, One Washington Square, San Jose, CA 95192, USAComputer Engineering Department, San Jose State University, One Washington Square, San Jose, CA 95192, USAComputer Engineering Department, San Jose State University, One Washington Square, San Jose, CA 95192, USAComputer Engineering Department, San Jose State University, One Washington Square, San Jose, CA 95192, USAComputer Engineering Department, San Jose State University, One Washington Square, San Jose, CA 95192, USAThe increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. However, the industry encounters various challenges in the dynamic provisioning of on-demand CSaaS on diverse sensor networks. We require a system that will provide users with standardized access to various sensor networks and a level of abstraction that hides the underlying complexity. In this study, we aim to develop a cloud-based solution to address the challenges mentioned earlier. Our solution, SenseCloud, includes a sensor virtualization mechanism that interfaces with diverse sensor networks, a multitenancy mechanism that grants multiple users access to virtualized sensor networks while sharing the same underlying infrastructure, and a dynamic provisioning mechanism to allow the users to leverage the vast pool of resources on demand and on a pay-per-use basis. We implement a prototype of SenseCloud by using real sensors and verify the feasibility of our system and its performance. SenseCloud bridges the gap between sensor providers and sensor data consumers who wish to utilize sensor data.http://dx.doi.org/10.1155/2016/3292783 |
| spellingShingle | Mihui Kim Mihir Asthana Siddhartha Bhargava Kartik Krishnan Iyyer Rohan Tangadpalliwar Jerry Gao Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things Journal of Computer Networks and Communications |
| title | Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things |
| title_full | Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things |
| title_fullStr | Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things |
| title_full_unstemmed | Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things |
| title_short | Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things |
| title_sort | developing an on demand cloud based sensing as a service system for internet of things |
| url | http://dx.doi.org/10.1155/2016/3292783 |
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