Book ChapterDOI
Energy Consumption Optimization Using Social Interaction in the Mobile Cloud
Katerina Papanikolaou,Constandinos X. Mavromoustakis,George Mastorakis,Athina Bourdena,Ciprian Dobre +4 more
- pp 431-445
TLDR
The impact of mobility on the social-oriented offloading is considered, by allowing partitionable resources to be executed according to the social interactions and the associated mobility of each user during the offloading process.Abstract:
This paper addresses the issue of resource offloading for energy usage optimization in the cloud, using the centrality principle of social networks. Mobile users take advantage of the mobile opportunistic cloud, in order to increase their reliability in service provision by guaranteeing sufficient resources for the execution of mobile applications. This work elaborates on the improvement of the energy consumption for each mobile device, by using a social collaboration model that allows for a cooperative partial process offloading scheme. The proposed scheme uses social centrality as the underlying mobility and connectivity model for process offloading within the connected devices to maximize the energy usage efficiency, node availability and process execution reliability. Furthermore, this work considers the impact of mobility on the social-oriented offloading, by allowing partitionable resources to be executed according to the social interactions and the associated mobility of each user during the offloading process. The proposed framework is thoroughly evaluated through event driven simulations, towards defining the validity and offered efficiency of the proposed offloading policy in conjunction to the energy consumption of the wireless devices.read more
Citations
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Journal ArticleDOI
Context-aware multi-objective resource allocation in mobile cloud☆
TL;DR: The experimental results demonstrate the ability of the proposed resource allocation approach to manage the trade-off between time and energy comparing to traditional algorithms.
Journal ArticleDOI
Energy-Aware Processor Merging Algorithms for Deadline Constrained Parallel Applications in Heterogeneous Cloud Computing
TL;DR: Experimental results on real and randomly generated parallel applications validate that the proposed EPM and QEPM algorithms can reduce more energy than existing methods at different scales, parallelism, and heterogeneity degrees.
Proceedings ArticleDOI
Predicting and quantifying the technical debt in cloud software engineering
Georgios Skourletopoulos,Constandinos X. Mavromoustakis,Rami Bahsoon,George Mastorakis,Evangelos Pallis +4 more
TL;DR: The Technical Debt, which stems from budget constraints during the software development process as well as the capacity of a cloud service, is examined, which is associated with leasing a cloud Software as a Service (SaaS), towards indicating the most appropriate cloud service to be selected.
Proceedings ArticleDOI
Resource usage prediction algorithms for optimal selection of multimedia content delivery methods
Yiannos Kryftis,Constandinos X. Mavromoustakis,George Mastorakis,Evangelos Pallis,Jordi Mongay Batalla,Joel J. P. C. Rodrigues,Ciprian Dobre,Georgios Kormentzas +7 more
TL;DR: The proposed architecture exploits both algorithms for the prediction of future multimedia services demands, by providing the ability to keep optimal the distribution of the streaming data, among Content Delivery Networks, cloud-based providers and Home Media Gateways.
Proceedings ArticleDOI
Resource usage prediction for optimal and balanced provision of multimedia services
Yiannos Kryftis,Constandinos X. Mavromoustakis,George Mastorakis,Evangelos Pallis,Jordi Mongay Batalla,Georgios Skourletopoulos +5 more
TL;DR: A novel network architecture for optimal and balanced provision of multimedia services, exploiting a resource prediction system, provides the opportunity for the optimal distribution of streaming data, among Content Delivery Networks, cloud-based providers and Home Media Gateways.
References
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Journal ArticleDOI
A survey of mobility models for ad hoc network research
TL;DR: In this paper, a survey of mobility models used in the simulations of ad hoc networks is presented, which illustrate the importance of choosing a mobility model in the simulation of an ad hoc network protocol.
Proceedings ArticleDOI
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TL;DR: MAUI supports fine-grained code offload to maximize energy savings with minimal burden on the programmer, and decides at run-time which methods should be remotely executed, driven by an optimization engine that achieves the best energy savings possible under the mobile device's current connectivity constrains.
Proceedings ArticleDOI
Analysing information flows and key mediators through temporal centrality metrics
TL;DR: It is argued that dynamically evolving network topologies are inherent in many systems, including real online social and technological networks: fortunately the nature of these systems is such that they allow the gathering of large quantities of finegrained temporal data on interactions amongst the network members.
BookDOI
Introduction to stochastic processes
TL;DR: In this article, Markov Chain Algorithms have been used to define a criterion for recurring and transience of Brownian Motion in several dimensions, including positive recurring and negative recurring and null recurring.