M. Shojafar
Publications
144
h-index
31
Citations
3,529
Highly Influential Citations
91
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P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
P. Naranjo, M. Shojafar, H. Mostafaei, Zahra Pooranian, E. Baccarelli
Computer Science
The Journal of Supercomputing
1 February 2017
TLDR
A modified Stable Election Protocol (SEP), named Prolong-SEP (P- SEP) is presented to prolong the stable period of Fog-supported sensor networks by maintaining balanced energy consumption. Expand
208 Citations
10
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
E. Baccarelli, P. Naranjo, M. Scarpiniti, M. Shojafar, J. Abawajy
Computer Science
IEEE Access

7 May 2017
TLDR
It is pointed out that the integration of the FC and IoE paradigms may give rise to opportunities for new applications in the realms of the IoE, Smart City, Industry 4.0, and Big Data Streaming while introducing new open issues. Expand
215 Citations
10
PDF
Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications
Samaher Al-Janabi, Ibrahim Al-Shourbaji, M. Shojafar, S. Shamshirband
Computer Science
1 July 2017
TLDR
This paper reviewed WBAN communication architecture, security and privacy requirements and security threats and the primary challenges in WBANs to these systems based on the latest standards and publications and covers the state-of-art security measures and research. Expand
194 Citations
9
PDF
FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method
M. Shojafar, S. Javanmardi, S. Abolfazli, N. Cordeschi
Computer ScienceCluster Computing
1 June 2015
TLDR
A hybrid approach called FUGE is presented that is based on fuzzy theory and a genetic algorithm (GA) that aims to perform optimal load balancing considering execution time and cost and shows the efficiency of the FUGE approach in terms of execution time, execution cost, and average degree of imbalance. Expand
109 Citations
6
GELS-GA: Hybrid metaheuristic algorithm for solving Multiple Travelling Salesman Problem
A. R. Hosseinabadi, Maryam Kardgar, M. Shojafar, Shahaboddin Shamshirband, A. Abraham
Mathematics, Computer Science
14th International Conference on Intelligent…
1 November 2014
TLDR
A new hybrid algorithm, called GELS-GA, has been presented for solving the Multiple Traveling Salesmen Problem and achieves optimality even in highly complex scenarios. Expand
28 Citations
4
PDF
Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study
E. Baccarelli, N. Cordeschi, A. Mei, M. Panella, M. Shojafar, Julinda Stefa
Computer Science
IEEE Network

21 March 2016
TLDR
This position article formalizes this paradigm, discusses its most significant application opportunities, and outlines the major challenges in performing real-time energy-efficient management of the distributed resources available at both mobile devices and Internet-connected data centers.Expand
161 Citations
3
PDF
Energy-saving adaptive computing and traffic engineering for real-time-service data centers
M. Shojafar, N. Cordeschi, Danilo Amendola, E. Baccarelli
Computer Science
IEEE International Conference on Communication…
8 June 2015
TLDR
The proposed adaptive cross-layer resource controller jointly performs the balanced control and dispatching of the admitted workload, and the dynamic reconfiguration of the Virtual Machines instantiated onto the parallel computing platform at the data center. Expand
53 Citations
3
An efficient meta-heuristic algorithm for grid computing
Zahra Pooranian, M. Shojafar, J. Abawajy, A. Abraham
Computer Science
J. Comb. Optim.

1 October 2015
TLDR
This paper has combined PSO with the gravitational emulation local search (GELS) algorithm to form a new method, PSO–GELS, and experimental results demonstrate the effectiveness of PSO-GELS compared to other algorithms. Expand
70 Citations
3
PDF
Hybrid Job Scheduling Algorithm for Cloud Computing Environment
S. Javanmardi, M. Shojafar, Danilo Amendola, N. Cordeschi, Hongbo Liu, A. Abraham
Computer Science
IBICA

2014
TLDR
A hybrid job scheduling approach, which considers the load balancing of the system and reduces total execution time and execution cost and average Degree of Imbalance (DI). Expand
76 Citations
3
PDF
FLAPS: bandwidth and delay-efficient distributed data searching in Fog-supported P2P content delivery networks
M. Shojafar, Zahra Pooranian, P. Naranjo, E. Baccarelli
Computer Science
The Journal of Supercomputing
7 June 2017
TLDR
The main feature of the FLAPS algorithm is the exploitation of the local topology information provided by the serving Fog nodes and the current status of the collaborating peers, in order to run a suitably distributed reinforcement algorithm for the adaptive discovery of peer-to-peer and peer- to-fog minimum-hop routes. Expand
32 Citations
3
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