An Autonomic Resource Provisioning Framework for Mobile Computing Grids

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An Autonomic Resource Provisioning Framework for Mobile Computing Grids (2012)

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by Hariharasudhan Viswanathan , Eun Kyung Lee , Ivan Rodero , Dario Pompili

Venue:	in Proc. of IEEE International Conference on Autonomic Computing (ICAC
Citations:	5 - 5 self

Citations

210	The case for vm-based cloudlets in mobile computing - Satyanarayanan, Bahl, et al. - 2009 (Show Context) Citation Context ...tic time bounds in isolation, and 2) the prohibitive communication cost and response time involved in enabling such applications using the wired-grid-computing and/or cloud-computing approaches alone =-=[15]-=- – in which computation and storage are offloaded to remote computing resources on the Internet. In order to address the research challenges associated with reliable mobile grid coordination and appli...
183	Clonecloud: elastic execution between mobile device and cloud - Chun, Ihm, et al. - 2011 (Show Context) Citation Context ...�� Resource providers running the workloads (e.g., compute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. =-=[3]-=- Darby et al. [5] Costa et al. [4] Huang et al. [9] Lima et al. [6] Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ...
108	GRID: A fully location-aware routing protocol for mobile ad hoc networks - Liao, Sheu, et al. - 2001 (Show Context) Citation Context ...s, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. [3] Darby et al. [5] Costa et al. [4] Huang et al. [9] Lima et al. [6] Jiang et al. [10] Liao et al. =-=[14]-=- OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ̌ ̌ Uncertainty ̌ ̌ Contribution Protocol ̌ ̌ ̌ Middleware ̌ ̌ ̌ ̌ ̌ ̌ ̌ (b) Figure 1: (a) Autonomic r...
48	Calling the cloud: Enabling mobile phones as interfaces to cloud applications - Giurgiu, Riva, et al. - 2009 (Show Context) Citation Context ...�� Resource providers running the workloads (e.g., compute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. =-=[8]-=- Chun et al. [3] Darby et al. [5] Costa et al. [4] Huang et al. [9] Lima et al. [6] Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌...
30	Open mhealth architecture: An engine for health care innovation - Estrin, Sim - 2010 (Show Context) Citation Context ...d compute-intensive mobile applications such as content-based distributed multimedia search and sharing [1], distributed object recognition and tracking, and ubiquitous contextaware health monitoring =-=[7]-=-. The response time, quality, and relevance of such mobile applications, which rely on real-time in-thefield processing of locally generated data, can be drastically improved using our envisioned fram...
30	Comet: a scalable coordination space for decentralized distributed environments - Li, Parashar - 2005 (Show Context) Citation Context ...obile devices with heterogeneous capabilities (summarized in Table 1). In our prototype, communications among the master and workers as well as among the optimizer and workers happen over Comet Space =-=[13]-=-, a scalable peer-to-peer contentbased coordination space developed at the NSF Cloud and Autonomic Computing Center, Rutgers University. The workload: The mobile application that we used for our exper...
29	Mobile OGSI.NET: Grid computing on mobile devices - Chu, Humphrey - 2004 (Show Context) Citation Context ...providers �� Resource providers running the workloads (e.g., compute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. =-=[2]-=- Giurgiu et al. [8] Chun et al. [3] Darby et al. [5] Costa et al. [4] Huang et al. [9] Lima et al. [6] Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ C...
25	TeenyLIME: transiently shared tuple space middleware for wireless sensor networks - Costa, Mottola, et al. - 2006 (Show Context) Citation Context ... running the workloads (e.g., compute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. [3] Darby et al. [5] Costa et al. =-=[4]-=- Huang et al. [9] Lima et al. [6] Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ̌ ̌ Uncertainty ̌ ̌ Contribution P...
16	Enabling applications in sensor-based pervasive environments - Jiang, Schmidt, et al. - 2004 (Show Context) Citation Context ...ysiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. [3] Darby et al. [5] Costa et al. [4] Huang et al. [9] Lima et al. [6] Jiang et al. =-=[10]-=- Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ̌ ̌ Uncertainty ̌ ̌ Contribution Protocol ̌ ̌ ̌ Middleware ̌ ̌ ̌ ̌ ̌ ̌ ̌ (b) Figure 1...
9	An energy-efficient middleware for supporting multimedia services in mobile grid environments - Huang, Mohapatra, et al. - 2005 (Show Context) Citation Context ...loads (e.g., compute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. [3] Darby et al. [5] Costa et al. [4] Huang et al. =-=[9]-=- Lima et al. [6] Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ̌ ̌ Uncertainty ̌ ̌ Contribution Protocol ̌ ̌ ̌ Mid...
6	Peer-to-peer Checkpointing Arrangement for Mobile Grid Computing Systems - Darby, Tzeng - 2007 (Show Context) Citation Context ...esource providers running the workloads (e.g., compute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. [3] Darby et al. =-=[5]-=- Costa et al. [4] Huang et al. [9] Lima et al. [6] Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ̌ ̌ Uncertainty ̌...
4	Peerto-peer resource discovery in mobile grids - Lima, Gomes, et al. - 2005 (Show Context) Citation Context ...pute-intensive physiological models, models for acquiring context-awareness) (a) Focus Chu et al. [2] Giurgiu et al. [8] Chun et al. [3] Darby et al. [5] Costa et al. [4] Huang et al. [9] Lima et al. =-=[6]-=- Jiang et al. [10] Liao et al. [14] OURS Infrastructure Mobile ̌ ̌ ̌ ̌ Static ̌ Hybrid ̌ ̌ ̌ ̌ ̌ Concern Energy ̌ ̌ ̌ Connectivity ̌ ̌ ̌ Uncertainty ̌ ̌ Contribution Protocol ̌ ̌ ̌ Middleware ̌ ̌ ̌ ̌ ...
4	SILENCE: Distributed Adaptive Sampling for Sensor-based Autonomic Systems - Lee, Viswanathan, et al. - 2011 (Show Context) Citation Context ...e provider or not, and D = {dn}1×N , where dn ∈ {1,0}, which conveys whether n is a data provider or not. We advocate the use of a distributed arbitrator self-election mechanism similar to the one in =-=[12]-=-. Our self-election mechanism works as follows: each service provider will determine the potential size of its resource pool based on the number of advertisements it has received. Then, all the servic...
2	computing on mobile devices using mapreduce. http://www.dtic.mil/docs/citations/ADA512601 - Cloud (Show Context) Citation Context ... mobile computing grid. This local computing grid can be harnessed to enable innovative data- and compute-intensive mobile applications such as content-based distributed multimedia search and sharing =-=[1]-=-, distributed object recognition and tracking, and ubiquitous contextaware health monitoring [7]. The response time, quality, and relevance of such mobile applications, which rely on real-time in-thef...