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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Motivated by the increasing importance of edge computing and improvements in heterogeneous low-power, wimpy systems, we present a novel time-energy-cost analysis of wimpy edge computing in comparison with traditional brawny cloud computing. For this analysis, we use a brawny heterogeneous Amazon EC2 cloud instance with GPU and two wimpy heterogeneous systems represented by Jetson TK1 and Jetson TX1...
Mobile robots and drones have limited onboard computation power, which severely restricts mission planning. With the emergence of Fog Computing, computations may be offloaded to robotic peers, smart gateway devices and remote Cloud virtual machines. In order to effectively make use of such resources, a-priori estimation of execution times of offloaded computational programs is necessary. In this paper,...
With the Internet of Things (IoT) becoming a major component of our daily life, understanding how to improve quality of service (QoS) in IoT networks is becoming a challenging problem. Currently most interaction between the IoT devices and the supporting back-end servers is done through large scale cloud data centers. However, with the exponential growth of IoT devices and the amount of data they...
The current growth in Internet services, mobile devices, and machine-to-machine (M2M) technologies is providing the building blocks for the Internet of Things (IoT) as it is being applied across all industry sectors. With ongoing proliferation of IoT applications, a new platform called Fog/edge computing, in addition to Cloud computing, is being developed to address requirements such as bandwidth,...
Abstract-Internet of Things (IoT) is emerging as part ofthe infrastructures for advancing a large variety of applicationsinvolving connection of many intelligent devices, leadingto smart communities. Due to the severe limitation on thecomputing resources of IoT devices, it is common to offloadtasks of various applications requiring substantial computingresources to computing systems with sufficient...
The commonly existing employed centralized algorithms fail to be adaptive to the new storage pattern on mobile edge cloud. To address this issue, we propose an alternating-direction-method-of-multipliers-based collaborative storage algorithm called MECCAS (Mobile Edge Cloud Collaborative Storage). The proposed MECCAS is able to minimize the delay of task execution and total costs for the overall operation,...
In the Internet of Things(IoT) era, the demands for low-latency computing for time-sensitive applications (e.g., location-based augmented reality games, real-time smart grid management, real-time navigation using wearables) has been growing rapidly. Edge Computing provides an additional layer of infrastructure to fill latency gaps between the IoT devices and the back-end computing infrastructure....
Distributed applications will break down or perform poorly when there are too many failures (of nodes and/or communication) in the operating environment. Failures happen frequently on edge networks including mobile and ad hoc networks, but are also unexpectedly common on the general Internet. We propose an approach for designing stress-aware distributed applications that can take environment stress...
The Multi-Cloud is a new paradigm that facilitates customers to host their applications and data onto multiple Clouds. It also allows the Cloud Service Providers (CSPs) to offer new functionalities in order to satisfy the diverse customer requirements. This is done by offering a combination of services from multiple CSPs that can individually only provide limited functionalities. The issue of "services...
In recent years many organizations such as, Amazon, Google, Microsoft, have accelerated the development of their cloud computing ecosystem. This rapid development has created a plethora of cloud resource management interfaces for provisioning, supervising, and managing cloud resources. Thus, there is an obvious need for the standardization of cloud resource management interfaces to cope with the prevalent...
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