Energy Saving of Mobile Devices Based on Component Migration and Replication in Pervasive Computing

2006 ◽  
pp. 637-647 ◽  
Author(s):  
Songqiao Han ◽  
Shensheng Zhang ◽  
Yong Zhang
Keyword(s):  
Energy Saving ◽  
Mobile Devices ◽  
Pervasive Computing ◽  
Component Migration

Present and Future of Mobile Commerce

2018 ◽  
pp. 1431-1447
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Present and Future of Mobile Commerce

2016 ◽  
pp. 293-308 ◽  
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Service Provision for Pervasive Computing Environments

2009 ◽  
pp. 279-289
Author(s):  
Emerson Loureiro ◽  
Frederico Bublitz ◽  
Loreno Oliveira ◽  
Nadia Barbosa ◽  
Angelo Perkusich ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Service Provision ◽  
The Other ◽  
Service Oriented Computing ◽  
Computing Paradigm ◽  
Other Hand ◽  
The Future ◽  
Service Oriented ◽  
Computing Environments

The fast development on microelectronics has promoted the increase on the computational power of hardware components. On the other hand, we are facing a significant improvement on energy consumption as well as the reduction of the physical size of such components. These improvements and the emergence of wireless networking technologies are enabling the development of small and powered mobile devices. Due to this scenario, the so-called pervasive computing paradigm, introduced by Mark Weiser in 1991 (Weiser, 1991) is becoming a reality. Such a paradigm envisions a world where environments are inhabited by computing devices, all of them seamlessly integrated into peoples’ lives, and effectively helping to carry on their daily tasks. Among others, one major characteristic of Weiser’s vision is that each device in an environment becomes a potential client or provider of resources. Not surprisingly, pervasive computing environments are becoming dynamic repositories of computational resources, all of them available to mobile users from the palm of their hands. However, devices can unpredictably join and leave such environments. Thus, resources can be dynamically made available or unavailable. Such a scenario has a great impact on the way that resources are found and used. In the case of static environments, such as the Web, it is reasonable to look up and access resources, such as Web pages, knowing the address of their providers beforehand. On the other hand, for dynamic environments, such as the pervasive computing ones, this is not a reasonable approach. This is due to the fact that one cannot guarantee that the provider of a resource will be available at any moment, because it may have left the environment or simply turned off. A better approach would be to discover these resources based on their descriptions, or any other feature that does not require the client to know the specific address of their providers. To this end, some of the current pervasive computing solutions, like Wings (Loureiro, Bublitz, Oliveira, Barbosa, Perkusich, Almeida, & Ferreira, 2006), Green (Sivaharan, Blair, & Coulson, 2005), RUNES (Costa, Coulson, Mascolo, Picco, & Zachariadis, 2005), and Scooby (Robinson, Wakeman, & Owen, 2004), are making use of a novel approach from the branch of distributed applications, the service-oriented computing paradigm (Papazoglou, 2003; Huhns & Singh, 2005). This is due to the fact that such a paradigm provides a crucial element for pervasive computing systems, the ability for dynamically binding to remote resources (Bellur & Narenda, 2005), which enables mobile devices to find needed services on demand. However, pervasive environments may be structured in different ways. They can range from wired networks to completely wireless ones, where communication among the devices is performed in an ad hoc way. Such a characteristic indicates that the way services are provisioned in a pervasive computing environment should fit in its organization, in order to enhance the access to the services available. Considering the above discussion, in this article we provide a review on service provision and its applicability in pervasive computing. More precisely, we will list the existing service provision approaches and discuss the characteristics and problems associated with each one, as well as their usage in pervasive computing environments. We start by providing introductory concepts of service-oriented and pervasive computing, respectively in the service-oriented computing and pervasive computing sections. Next, we present the service provision techniques available and how they can be applied for pervasive computing environments. The main current solutions within this scope will be introduced in the service oriented technologies section. Some of the future trends associated with research for service provision in pervasive computing environments will be presented in the future research trends section. Finally, in the conclusions sect

Leveraging Pervasive and Ubiquitous Service Computing

2009 ◽  
pp. 262-278
Author(s):  
Zhijun Zhang
Keyword(s):  
Human Computer Interaction ◽  
Mobile Devices ◽  
Pervasive Computing ◽  
Service Oriented Architecture ◽  
Wireless Networking ◽  
Service Computing ◽  
Service Oriented ◽  
Promising Application ◽  
Networking Technologies ◽  
Computer Interaction

The advancement of technologies to connect people and objects anywhere has provided many opportunities for enterprises. This chapter will review the different wireless networking technologies and mobile devices that have been developed, and discuss how they can help organizations better bridge the gap between their employees or customers and the information they need. The chapter will also discuss the promising application areas and human-computer interaction modes in the pervasive computing world, and propose a service-oriented architecture to better support such applications and interactions.

Blackout Avoidance and Energy Saving Services with Alert Aggregation

2012 ◽  
Vol 3 (4) ◽  
pp. 40-56
Author(s):  
Erica Fong ◽  
Dickson K.W. Chiu ◽  
Haiyang Hu ◽  
Yi Zhuang ◽  
Hua Hu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Real Time ◽  
Mobile Devices ◽  
Critical Energy ◽  
The Internet ◽  
Monitor System ◽  
Energy Usage ◽  
Huge Number ◽  
Smart Meters

Peak electricity demands from huge number of households in a mega-city would cause contention, leading to potential blackout. This paper proposes bi-directional collaboration via a Smart Energy Monitor System (SEMS) between consumers and energy suppliers, exchanging real-time energy usage data with smart meters over the Internet and mobile devices for well-informed decisions and even predictions. The authors further propose the use of an Alert Management System (AMS) to monitor and aggregate critical energy consumption events for this purpose.

Leveraging Pervasive and Ubiquitous Service Computing

2009 ◽  
pp. 232-248
Author(s):  
Zhijun Zhang
Keyword(s):  
Human Computer Interaction ◽  
Mobile Devices ◽  
Pervasive Computing ◽  
Service Oriented Architecture ◽  
Wireless Networking ◽  
Service Computing ◽  
Service Oriented ◽  
Promising Application ◽  
Networking Technologies ◽  
Computer Interaction

The advancement of technologies to connect people and objects anywhere has provided many opportunities for enterprises. This chapter will review the different wireless networking technologies and mobile devices that have been developed, and discuss how they can help organizations better bridge the gap between their employees or customers and the information they need. The chapter will also discuss the promising application areas and human-computer interaction modes in the pervasive computing world, and propose a service-oriented architecture to better support such applications and interactions.

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