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Sökning: WFRF:(Loomba Radhika)

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1.
  • Loomba, Radhika, et al. (författare)
  • Selecting Energy Efficient Cluser-Head Trajectories for Collaborative Mobile Sensing
  • 2016
  • Ingår i: 2015 IEEE Global Communications Conference, GLOBECOM 2015. - : Institute of Electrical and Electronics Engineers (IEEE).
  • Konferensbidrag (refereegranskat)abstract
    • We study the design of energy-efficient stochastic leader-selection algorithms in environments which are sensed by mobile handsets. This work optimizes the energy usage of the interaction between mobile handsets and an application server. The energy- efficiency of mobile handset communications is of increasing importance given the convergence of mobile computing and cloud computing. In some scenarios the unavailability of WiFi signals forces mobile devices to expend additional energy transmitting application specific sensed data over cellular networks. This paper focuses on 1) fairly allocating the overhead of transmitting sensed data to a cellular base station amongst the mobile devices by selecting a cluster-head (Fairness is measured in terms of the relative energy expended); 2) successively improving the location of the selected leader such that the efficiency of the entire system is improved; and finally, 3) allowing the mobile devices to gradually forget what they have learned so that the life-time of the mobile devices is increased (without significantly affecting energy savings). We present two algorithms in this paper and demonstrate that the battery life-time associated with sensor data transmissions of the mobile handsets may be increased by 20-40% without incurring a sensing accuracy penalty.
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2.
  • Östberg, Per-Olov, et al. (författare)
  • Reliable Capacity Provisioning for Distributed Cloud/Edge/Fog Computing Applications
  • 2017
  • Ingår i: 2017 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC). - : IEEE. - 9781538638736
  • Konferensbidrag (refereegranskat)abstract
    • The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated edge-cloud architecture, discusses the scientific foundation of the project, and outlines plans for toolsets for continuous data collection, application performance modeling, application and component auto-scaling and remediation, and deployment optimization. The paper also presents four use cases from complementing fields that will be used to showcase the advancements of RECAP.
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