The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be execut...

Mobile systems have limited resources, such as battery life, network bandwidth, storage capacity, and processor performance. These restrictions may be alleviated by computation of f loading: sending heavy computation to resourceful servers and receiving the results from these servers. Many issues related to offloading have been investigated in the past decade. This survey paper provides an over...

A Heterogeneous Network (HetNet) comprises of multiple Radio Access Technologies (RATs) allowing a user to associate with a specific RAT and steer to other RATs in a seamless manner. To cope up with the unprecedented growth of data traffic, mobile data can be offloaded to Wireless Fidelity (WiFi) in a Long Term Evolution (LTE) based HetNet. In this paper, an optimal RAT selection problem is con...

Smartphone applications that continuously monitor user context are becoming popular for applications ranging from health-care to lifestyle monitoring to participatory sensing. Unfortunately, these emerging apps make poor use of the already scarce energy resources because they continually wake the CPU and other mobile device components for periodic sensing, computation, and communication. We rep...

The limited capability and energy constraint of smartphones have posed a significant challenge to running the “newest and hottest” applications which are becoming increasingly resource demanding, e.g., realtime image recognition. In this paper, we revisit the decade-old general concept of offloading computation to remote servers by focusing on a largely unsolved problem: how to automatically de...

With a rise in usage of mobile devices it's continuously expected that a mobile device perform the execution of all applications the approach a desktop device do. Mobile devices became associate integral a part of somebody's life. However, with restricted process power, memory & battery time period of mobile phones it becomes tough to execute computationally intensive applications like imag...

Mobile cloud computing (MCC) is becoming a popular mobile technology that aims to augment local resources of mobile devices, such as energy, computing, and storage, by using available cloud services and functionalities. The offloading process is one of the techniques used in MCC to enhance the capabilities of mobile devices by moving mobile data and computationintensive operations to cloud plat...

Although the capability of smartphones has increased manifold over the past decade, the battery density has barely doubled. Smartphones now have multi-core processors, a high-resolution display, several sensors, and a faster mobile interface – all of which quickly drain the battery, while the battery capacity is limited. In this talk I will present one approach to improve battery lifetime: offl...

Mobile-Edge Computing (MEC) is an emerging paradigm that provides a capillary distribution of cloud computing capabilities to the edge of the wireless access network, enabling rich services and applications in close proximity to the end users. In this article, a MEC enabled multi-cell wireless network is considered where each Base Station (BS) is equipped with a MEC server that can assist mobil...