In this chapter, we will formulate the and corresponding research questions research in view of the current demands of the In addition, we objectives end to end communications. will summarize our of this research. contributions Motivation Over the recent various innovative multimedia and applications, services devices have emerged in the consumer market and have allowed people to explore and consume more media contents while on the go [1]. We are experiencing a media revolution. With the emergence of rich complex mobile applications, the hardware processing and storage demands of the end user are increasing in comparison to the available mobile hardware resources. An approach to leverage this increase in the demand is by [2], thin client approach where the end user mobile resources are assumed to be scarce and [3] e.g. surrogate model is used to leverage the imbalance of the resources. Cloud computing [4] has cloud computing emerged as a flourishing framework and the cloud computing platform have proved itself to become a unique framework providing various services, high computational ability, huge storage and bandwidth at competitive cost. In the near future, we foresee the need of many possible scenario's involving resource (computational constrained mobile and storage) devices to access and process highly intensive computational tasks like 3D rendering [5], video streaming [6] and gaming [7]. [8] predicts that the storage and processing Moore's law abilities of the cloud will continue to increase while corresponding will go down over costs the next few years. This enables cloud computing to be favorable candidate to handle computational intensive tasks for mobile devices. Mobile Cloud Computing (MCC) [9] provides an efficient computational framework for mobile terminals i.e. User Equipment (UE) to it's computationally intensive tasks to offload remote server. Mobile-cloud interaction opens up the further avenues for research if among the mobile nodes is also considered [10]. Cloud process cooperative communication the offloaded content and deliver it to the UE. Content offloading and delivery represents an (E2E) scenario in which mobile terminal interacts with the cloud end-to-end communication through the network. In this way, the offered QoS depends upon different end user parameters of (cost, and (throughput, cloud latency) network bandwidth, channel errors, [11]. Moreover, (service requirements including jitter, number of users) application profile
In this chapter, we will formulate the research questions and corresponding research objectives in view of the current demands of the end to end communications. In addition, we will summarize our contributions of this research. Motivation Over the recent various innovative multimedia applications, services and devices have emerged in the consumer market and have allowed people to explore and consume more media contents while on the go [1]. We are experiencing a media revolution. With the emergence of rich complex mobile applications, the processing and storage hardware demands of the end user are increasing in comparison to the available mobile hardware resources. An approach to leverage this increase in the demand is by thin client approach [2], where the end user mobile resources are assumed to be scarce and surrogate model [3] e.g. cloud computing is used to leverage the imbalance of the resources. Cloud computing [4] has emerged as a flourishing framework and the cloud computing platform have proved itself to become a unique framework providing various services, high computational ability, huge storage and bandwidth at competitive cost. In the near future, we foresee the need of many possible scenario's involving resource (computational and storage) constrained mobile devices to access and process highly intensive computational tasks like 3D rendering [5], video streaming [6] and gaming [7]. Moore's law [8] predicts that the storage and processing abilities of the cloud will continue to increase while corresponding costs will go down over the next few years. This enables cloud computing to be favorable candidate to handle computational intensive tasks for mobile devices. Mobile Cloud Computing (MCC) [9] provides an efficient computational framework for mobile terminals i.e. User Equipment (UE) to offload it's computationally intensive tasks to remote server. Mobile-cloud interaction opens up the further avenues for research if cooperative communication among the mobile nodes is also considered [10]. Cloud process the offloaded content and deliver it to the UE. Content offloading and delivery represents an end-to-end communication (E2E) scenario in which mobile terminal interacts with the cloud through the network. In this way, the offered end user QoS depends upon different parameters of cloud (cost, latency) and network (throughput, bandwidth, channel errors, number of users) [11]. Moreover, application profile (service requirements including jitter,
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