cloud computing
Abstract:
This paper presents a Secured Wireless Sensor Network-integrated Cloud computing for u-Life
Care (SC3). SC3 monitors human health, activities, and shares information among doctors, caregivers, clinics, and pharmacies in the Cloud, so that users can have better care with low cost.
SC3 incorporates various technologies with novel ideas including; sensor networks, Cloud computing security, and activities recognition.
1. INTRODUCTION
1.1. What is Cloud Computing?
The Cloud computing, coined in late of 2007, currently emerges as a hot topic due to its abilities to offer flexible dynamic IT infrastructures, QoS guaranteed computing environments and configurable software services. Cloud computing can be defined as follows: “A Cloud is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and customers and can be ubiquitously accessed from any connected devices over the internet” Cloud computing started quietly from several seeding technologies such as grid computing, virtualization,
SalesForce.com innovative subscription-based business model or Amazon’s effort to scale their ecommerce platform. However, it differs from traditional ones in that: (1) it is massively scalable,
(2) can be encapsulated as an abstract entity that delivers different levels of services to customers anywhere, anytime, and (3) it is driven by economies of scale that is the services can be dynamically. Configured (via virtualization or other approaches) and delivered “ on-demand”.
The Web search popularity, as measured by the Google search trends during the last 12 months, for terms “Cluster computing”, “Grid computing”, and “Cloud computing. From the Google trends, it can be observed that cluster computing was a popular term
This paper presents a Secured Wireless Sensor Network-integrated Cloud computing for u-Life
Care (SC3). SC3 monitors human health, activities, and shares information among doctors, caregivers, clinics, and pharmacies in the Cloud, so that users can have better care with low cost.
SC3 incorporates various technologies with novel ideas including; sensor networks, Cloud computing security, and activities recognition.
1. INTRODUCTION
1.1. What is Cloud Computing?
The Cloud computing, coined in late of 2007, currently emerges as a hot topic due to its abilities to offer flexible dynamic IT infrastructures, QoS guaranteed computing environments and configurable software services. Cloud computing can be defined as follows: “A Cloud is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and customers and can be ubiquitously accessed from any connected devices over the internet” Cloud computing started quietly from several seeding technologies such as grid computing, virtualization,
SalesForce.com innovative subscription-based business model or Amazon’s effort to scale their ecommerce platform. However, it differs from traditional ones in that: (1) it is massively scalable,
(2) can be encapsulated as an abstract entity that delivers different levels of services to customers anywhere, anytime, and (3) it is driven by economies of scale that is the services can be dynamically. Configured (via virtualization or other approaches) and delivered “ on-demand”.
The Web search popularity, as measured by the Google search trends during the last 12 months, for terms “Cluster computing”, “Grid computing”, and “Cloud computing. From the Google trends, it can be observed that cluster computing was a popular term
References: [1]Korea u-Life care system [2]Microsoft Health Vault http://healthvault.com [3]Google Health https://www.google.com/health [4]Chris Karlof, Naveen Sastry, and David Wagner. TinySec: a link layer security architecture for wireless sensor networks. In Proc. of the 2nd Int. Conf. on Embedded networked sensor systems, pages 162–175, Baltimore, MD, USA, Novembe r 2004. [5] Taejoon Park and Kang G. Shin. LiSP: A lightweight security protocol for wireless sensor networks. Trans. on Embedded Computing Sys., 3(3):634–660, 2004.