-
1
-
-
84928204162
-
-
Internet of Things (IOT): a vision, architectural elements, and future directions. CoRR 2012; abs/1207.0203. [accessed on December 15 2012]
-
Gubbi J, Buyya R, Marusic S, Palaniswami M,. Internet of Things (IOT): a vision, architectural elements, and future directions. CoRR 2012; abs/1207.0203. (Available from: http://arxiv.org/abs/1207.0203) [accessed on December 15 2012].
-
-
-
Gubbi, J.1
Buyya, R.2
Marusic, S.3
Palaniswami, M.4
-
2
-
-
77953751129
-
Internet of things strategic research roadmap
-
The IoT European Research Cluster - European Research Cluster on the Internet of Things - IERC
-
Vermesan O, Friess P, Guillemin P, Gusmeroli S, Sundmaeker H, Bassi A, Jubert I, Mazura M, Harrison10 M, Eisenhauer M, Doody P,. Internet of things strategic research roadmap. Technical report, The IoT European Research Cluster-European Research Cluster on the Internet of Things-IERC, 2009.
-
(2009)
Technical Report
-
-
Vermesan, O.1
Friess, P.2
Guillemin, P.3
Gusmeroli, S.4
Sundmaeker, H.5
Bassi, A.6
Jubert, I.7
Mazura, M.8
Harrison, M.9
Eisenhauer, M.10
Doody, P.11
-
3
-
-
77956877124
-
The internet of things: A survey
-
Atzori L, Iera A, Morabito G,. The internet of things: a survey. Comput. Networks 2010; 54 (15): 2787-2805. DOI: 10.1016/j.comnet.2010.05.010. URL http://www.sciencedirect.com/science/article/pii/S1389128610001568.
-
(2010)
Comput. Networks
, vol.54
, Issue.15
, pp. 2787-2805
-
-
Atzori, L.1
Iera, A.2
Morabito, G.3
-
4
-
-
0345446547
-
The workload on parallel supercomputers: Modeling the characteristics of rigid jobs
-
Lublin U, Feitelson D,. The workload on parallel supercomputers: modeling the characteristics of rigid jobs. J. Parallel Distrib. Comput. 2003; 63 (11): 1105-1122.
-
(2003)
J. Parallel Distrib. Comput.
, vol.63
, Issue.11
, pp. 1105-1122
-
-
Lublin, U.1
Feitelson, D.2
-
5
-
-
84872259229
-
Parallel job scheduling on a dynamic cloud model with variable workload and active balancing
-
Greece Greece, DOI: 10.1109/PCi.2012.16
-
Moschakis I, Karatza H,. Parallel job scheduling on a dynamic cloud model with variable workload and active balancing. 2012 16th Panhellenic Conference on Informatics (PCI), Piraeus, Greece Greece, 2012; 93-98, DOI: 10.1109/PCi.2012.16.
-
(2012)
2012 16th Panhellenic Conference on Informatics (PCI), Piraeus
, pp. 93-98
-
-
Moschakis, I.1
Karatza, H.2
-
6
-
-
77955095511
-
A cost-benefit analysis of using cloud computing to extend the capacity of clusters
-
Assunção M, Costanzo A, Buyya R,. A cost-benefit analysis of using cloud computing to extend the capacity of clusters. CLUSTER COMPUT. 2010; 13 (3): 335-347.
-
(2010)
CLUSTER COMPUT.
, vol.13
, Issue.3
, pp. 335-347
-
-
Assunção, M.1
Costanzo, A.2
Buyya, R.3
-
7
-
-
31144461040
-
Deferred assignment scheduling in cluster-based servers
-
Ungureanu V, Melamed B, Katehakis M, Bradford P,. Deferred assignment scheduling in cluster-based servers. Cluster Computing 2006; 9: 57-65. DOI: 10.1007/s10586-006-4897-9. URL http://dx.doi.org/ 10.1007/s10586-006-4897-9.
-
(2006)
Cluster Computing
, vol.9
, pp. 57-65
-
-
Ungureanu, V.1
Melamed, B.2
Katehakis, M.3
Bradford, P.4
-
8
-
-
77955306507
-
The impact of service demand variability on resource allocation strategies in a grid system
-
November;:. DOI: 10.1145/1842722.1842724. URL http://doi.acm.org/ 10.1145/1842722.1842724
-
Zikos S, Karatza H,. The impact of service demand variability on resource allocation strategies in a grid system. ACM Trans. Model. Comput. Simul. November 2010; 20 (4): 19:1-19:29. DOI: 10.1145/1842722.1842724. URL http://doi.acm.org/ 10.1145/1842722.1842724.
-
(2010)
ACM Trans. Model. Comput. Simul.
, vol.20
, Issue.4
, pp. 191-1929
-
-
Zikos, S.1
Karatza, H.2
-
9
-
-
77954042689
-
Clairvoyant site allocation of jobs with highly variable service demands in a computational grid
-
Atlanta GA, 19-23 April;, DOI: 10.1109/IPDPSW.2010.5470781
-
Zikos S, Karatza H,. Clairvoyant site allocation of jobs with highly variable service demands in a computational grid. 2010 IEEE International Symposium on Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), Atlanta GA, 19-23 April 2010; 1-8, DOI: 10.1109/IPDPSW.2010.5470781.
-
(2010)
2010 IEEE International Symposium on Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW)
, pp. 1-8
-
-
Zikos, S.1
Karatza, H.2
-
10
-
-
84860881019
-
Multi-criteria job scheduling in grid using an accelerated genetic algorithm
-
Gkoutioudi K, Karatza H,. Multi-criteria job scheduling in grid using an accelerated genetic algorithm. Journal of Grid Computing 2012; 10: 311-323. DOI: 10.1007/s10723-012-9210-y. URL http://dx.doi.org/ 10.1007/s10723-012-9210-y.
-
(2012)
Journal of Grid Computing
, vol.10
, pp. 311-323
-
-
Gkoutioudi, K.1
Karatza, H.2
-
11
-
-
0026461248
-
Job shop scheduling by simulated annealing
-
January/February;:. DOI: 10.1287/opre.40.1.113. URL
-
van Laarhoven P, Aarts E, Lenstra J,. Job shop scheduling by simulated annealing. Operations Research January/February 1992; 40 (1): 113-125. DOI: 10.1287/opre.40.1.113. URL http://or.journal.informs.org/content/40/1/113.abstract.
-
(1992)
Operations Research
, vol.40
, Issue.1
, pp. 113-125
-
-
Van Laarhoven, P.1
Aarts, E.2
Lenstra, J.3
-
12
-
-
38249025037
-
Simulated annealing for permutation flow-shop scheduling
-
Osman I, Potts C,. Simulated annealing for permutation flow-shop scheduling. Omega 1989; 17 (6): 551-557. DOI: 10.1016/0305-0483(89)90059-5. URL http://www.sciencedirect.com/science/article/pii/0305048389900595.
-
(1989)
Omega
, vol.17
, Issue.6
, pp. 551-557
-
-
Osman, I.1
Potts, C.2
-
13
-
-
36048973588
-
Task scheduling using parallel genetic simulated annealing algorithm. Service Operations and Logistics, and Informatics
-
Zheng S, Shu W, Gao L,. Task scheduling using parallel genetic simulated annealing algorithm. Service Operations and Logistics, and Informatics,. IEEE International Conference on Service Operastions and Logistics, and Informatics (SOLI Š06), Shanghai, China, 2006; 46-50, DOI: 10.1109/SOLI.2006.328980.
-
(2006)
IEEE International Conference on Service Operastions and Logistics, and Informatics (SOLI Š06), Shanghai, China, DOI: 10.1109/SOLI.2006.328980
, pp. 46-50
-
-
Zheng, S.1
Shu, W.2
Gao, L.3
-
14
-
-
78651466797
-
A new algorithm for grid independent task schedule: Genetic simulated annealing
-
Kobe
-
Wang J, Duan Q, Jiang Y, Zhu X,. A new algorithm for grid independent task schedule: genetic simulated annealing. IEEE World Automat ion Congress (WAC), 2010, Kobe, 2010; 165-171.
-
(2010)
IEEE World Automat Ion Congress (WAC), 2010
, pp. 165-171
-
-
Wang, J.1
Duan, Q.2
Jiang, Y.3
Zhu, X.4
-
15
-
-
77957964754
-
-
Cloud computing (cloud), 2010 ieee 3rd international conference on, DOI: 10.1109/CLOUD.2010.33
-
Fehling C, Leymann F, Mietzner R,. A framework for optimized distribution of tenants in cloud applications, Cloud computing (cloud), 2010 ieee 3rd international conference on, 2010; 252-259, DOI: 10.1109/CLOUD.2010.33.
-
(2010)
A Framework for Optimized Distribution of Tenants in Cloud Applications
, pp. 252-259
-
-
Fehling, C.1
Leymann, F.2
Mietzner, R.3
-
16
-
-
84870507349
-
-
Amazon Web Services Online; accessed 12-Jan-2013]
-
Amazon Web Services. Amazon ec2 spot instances. (Available from: http://aws.amazon.com/ec2/spot-instances/2013). [Online; accessed 12-Jan-2013].
-
Amazon ec2 Spot Instances
-
-
-
17
-
-
77953751129
-
-
CERP [Online; accessed 29-May-2013]
-
CERP. Internet of things strategic research roadmap. (Available from: http://www.grifs-project.eu/data/File/CERP-IoT20\%SRA-IoT-v11.pdf 2009). [Online; accessed 29-May-2013].
-
(2009)
Internet of Things Strategic Research Roadmap
-
-
-
18
-
-
26444479778
-
Optimization by simulated annealing
-
Kirkpatrick S, Gelatt C, Vecchi M,. Optimization by simulated annealing. Science 1983; 220 (4598): 671-680. DOI: 10.1126/science.220.4598.671. URL http://www.sciencemag.org/content/220/4598/67.
-
(1983)
Science
, vol.220
, Issue.4598
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.2
Vecchi, M.3
-
20
-
-
0024900644
-
Very fast simulated re-annealing
-
Ingber L,. Very fast simulated re-annealing. Mathematical and computer modelling 1989; 12 (8): 967-973.
-
(1989)
Mathematical and Computer Modelling
, vol.12
, Issue.8
, pp. 967-973
-
-
Ingber, L.1
|