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Managing Server Clusters on Renewable Energy Mix

As climate change has become a global concern and server energy demand continues to soar, many IT companies have started to explore server clusters running on various renewable energy sources. Existing green data center designs often yield suboptimal performance as they only look at a certain specific type of energy source. This article explores... (more)

An Auction Mechanism for Cloud Spot Markets

Dynamic forms of resource pricing have recently been introduced by cloud providers that offer Infrastructure as a Service (IaaS) capabilities in order to maximize profits and balance resource supply and demand. The design of a mechanism that efficiently prices perishable cloud resources in line with a provider’s profit maximization goal... (more)

Using Imitation to Build Collaborative Agents

The article presents an approach to learn collaborative strategies among multiple agents via imitation. Imitation-based learning involves learning from an expert by observing the demonstration of a task and then replicating it. This mechanism makes it convenient for a knowledge engineer to transfer knowledge to a software agent. This article... (more)

Privacy Policy Negotiation in Social Media

Social media involve many shared items, such as photos, which may concern more than one user. The challenge is that users’ individual privacy preferences for the same item may conflict, so an approach that simply merges in some way the users’ privacy preferences may provide unsatisfactory results. Previous proposals to deal with the... (more)

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About TOMACS

The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.

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Forthcoming Articles
Group Norms for Multi-Agent Organisations

Normative multi-agent systems offer the ability to integrate social and individual factors to provide increased levels of fidelity with respect to modelling social phenomena, such as cooperation, coordination, group decision making, organization, in both human and artificial agent systems. An important open research issue refers to group norms, i.e. norms that govern groups of agents. Depending on the interpretation, group norms may be intended to affect the group as a whole, each member of a group, or some members of the group. Moreover, upholding group norms may require coordination among the members of the group. We have identified three sets of agents affected by group norms, namely, i) the addressees of the norm, ii) those that will act on it, and iii) those that are responsible for ensuring norm compliance. We present a formalism to represent these, connecting it to a minimalist agent organisation model. We use our formalism to develop a reasoning mechanism which enables agents to identify their position with respect to a group norm, so as to further support agent autonomy and coordination when deciding on possible courses of action.

A Game-Theoretic Approach for Elastic Distributed Data Stream Processing

Distributed stream processing applications are structured as graphs of interconnected modules able to ingest high-speed data and to transform them in order to generate results of interest. Elasticity is one of the most appealing features of stream processing applications. It makes it possible to scale up/down the allocated computing resources on demand in response to fluctuations of the workload. On clouds this represents a necessary feature to keep the operating cost at affordable levels while accommodating user-defined QoS requirements. In this paper we study this problem from a game-theoretic perspective. The control logic driving elasticity is distributed among local control agents capable of choosing the right amount of resources to use by each module. In a first step, we model the problem as a non-cooperative game in which agents pursue their self-interest. We identify the Nash equilibria and we design a distributed procedure to reach the best equilibrium in the Pareto sense. As a second step, we extend the non-cooperative formulation with a decentralized incentive-based mechanism in order to promote cooperation by moving the agreement point closer to the system optimum. Our control strategies have been evaluated in a simulation environment, by confirming the results of the theoretical analysis.

Transparent and Efficient Parallelization of Swarm Algorithms

This paper presents an approach for the efficient and transparent parallelization of a large class of swarm algorithms, specifically in the cases where the multi-agent paradigm is used to implement the functionalities of bio-inspired entities, e.g., ants, birds etc. Parallelization is achieved by partitioning the space on which agents operate on multiple regions, and assigning each region to a different computing node. Data consistency and conflict issues, which may arise when several agents concurrently access shared data, are handled using a purposely developed notion of logical time. This approach enables a transparent porting onto parallel/distributed architectures, as the developer is only in charge of defining the behavior of the agents, without coping with issues related to parallel programming and performance optimization. The approach has been evaluated in a very popular application domain, the ant-based spatially clustering of items, and results show good performance and scalability.

Topology Control for Diverse Coverage in Underwater Wireless Sensor Networks

Underwater wireless sensor networks (UWSNs) have been developed for a set of underwater applications, including resource exploration, pollution monitoring, tactical surveillance, and so on. The complexity and diversity of underwater environments differentiate them significantly from terrestrial environments. Thus, the coverage requirements (coverage degrees) at different regions are possibly different as well. However, few efforts have so far been made on the topology control of UWSNs for the diverse coverage requirements. This paper proposes two algorithms for the diverse coverage problem: Traversal Algorithm for Diverse Coverage (TADC) adjusts the sensing radii of nodes successively, and at every round only one node alters its radius; Radius Increment Algorithm for Diverse Coverage (RIADC) sets the sensing radii of nodes incrementally, and at every round multiple nodes may increase their sensing radii simultaneously. Mathematical analysis shows both TADC and RIADC try best to achieve diverse coverage, but they have advantages in message complexity or optimal radius, respectively. Hence, these algorithms are suitable for different scenarios. Algorithm performance is also analyzed through simulation experiments that indicate TADC and RIADC realize diverse coverage while optimizing energy consumption as much as possible.

Controlling large-scale self-organized networks with lightweight cost for fast adaptation to changing environments

Self-organization has potential for high scalability, adaptability, flexibility, and robustness, which are vital features for realizing future networks. Convergence of self-organizing control, however, is comparatively slow in some practical applications. It is therefore important to enhance convergence of self-organizing controls. In controlled self-organization, which introduces an external controller into self-organizing systems, the network is controlled to guide systems to a desired state. Although existing controlled self-organization schemes could achieve this feature, convergence speed for reaching an optimal or semi-optimal solution is still a challenging task. We perform potential-based self-organizing routing, and propose an optimal feedback method using a reduced-order model for faster convergence at low cost. Simulation results show that the proposed mechanism improves the convergence speed of potential-field construction (i.e., route construction) by at most 7.9 times with low computation and communication cost.

Distributed Multi-robot Formation and Tracking Control in Cluttered Environment

In this paper, we propose formation control of non-holonomic mobile robots avoiding obstacles in a distributed manner for cluttered environment. The introduction of virtual robot re-structures the formation control problem into a tracking control problem between virtual reference robot and follower robots. A novel obstacle avoidance approach is proposed based upon the scaling of whole (partial) formation corresponding to centralized (distributed) framework. For the distributed environment having limited communication, our approach utilized Proportional-Integral (PI) average consensus estimators, whereby information from each robot diffuses through the communication network. The theoretical contribution is to determine the time constant involved in the diffusion process which can affect overall systems' performance. The asymptotic convergence of follower robots to the position and orientation of the reference robot is ensured using the Lyapunov function. The new technique is tested with complete, limited and no information availability. Several simulation results are provided that demonstrate the formation control and obstacle avoidance for multi-robots using the proposed scheme.

Modeling Robot Swarms Using Integrals of Birth-Death Processes

Controlling Negative Emergent Behaviour by Graph Analysis at Runtime

Self-organised systems typically consist of distributed autonomous entities. An increasing part of such systems is characterised by openness and heterogeneity of participants; for instance, open Desktop Computing Grids provide a framework for unrestrictedly joining in. However, openness and heterogeneity present severe challenges to the overall system's stability and efficiency since uncooperative and even malicious participants are free to join. A promising solution for this problem is to introduce technical trust as basis; but, in turn, the utilisation of trust opens space for Negative Emergent Behaviour. This article introduces a system-wide observation and control loop that influences the self-organised behaviour in order to provide a performant and robust platform for benevolent participants. Thereby, the observation part is responsible for gathering information and deriving an system description. We introduce a graph-based approach to identify groups of suspicious or malicious agents and demonstrate that this clustering process is highly successful for the considered stereotype agent behaviours. In addition, the controller part guides the system behaviour by issuing norms that make use of incentives and sanctions. We further present a concept for closing the control loop and show experimental results that highlight the potential benefit of establishing such a control loop.

A Support System for Clustering Data Streams with a Variable Number of Clusters

Artificial Immunology for Collective Adaptive Systems Design and Implementation

Although a number for frameworks have been proposed for the design of autonomic systems that exhibit self-* properties, they typically fail to capture implicit features of modern autonomic systems, for example the ability to deal with large ensembles of components with no central point of control and operating in a dynamic and unpredictable world. Furthermore, existing frameworks fail to account for the need to incorporate self-expression, i.e. the capability for a system to dynamically adapt its coordination pattern during run-time. In this paper, we address these shortcomings by proposing a new framework that integrates fundamental concepts from autonomic computing with bio-inspired design principles, exploiting the fact that biological systems tend to deal implicitly with such factors. In particular, we draw inspiration from the field of cognitive immune networks to develop a framework that can be used to build an autonomic system. The framework is applied to three different scenarios, illustrating its generality; in each case, quantitative metrics are applied to show the benefit of the proposed method compared to existing approaches.

Division of labor in a group of robots inspired by ants' foraging behavior

Design patterns from biology for distributed computing

A survey of autonomic communications

High variability design for software agents: Extending Tropos

Agile dynamic provisioning of multi-tier Internet applications

Self-adaptive software: Landscape and research challenges

Agilla: A mobile agent middleware for self-adaptive wireless sensor networks

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces

FORMS: Unifying reference model for formal specification of distributed self-adaptive systems

The MACODO middleware for context-driven dynamic agent organizations

Bibliometrics

Publication Years 2006-2016
Publication Count 234
Citation Count 1230
Available for Download 234
Downloads (6 weeks) 1114
Downloads (12 Months) 11129
Downloads (cumulative) 187585
Average downloads per article 802
Average citations per article 5
First Name Last Name Award
Marios D Dikaiakos ACM Senior Member (2008)
Antonio Fernandez Anta ACM Senior Member (2007)
David Garlan ACM Senior Member (2008)
Ho-fung Leung ACM Senior Member (2007)
Nancy Lynch ACM-W Athena Lecturer Award (2012)
Manish Parashar ACM Distinguished Member (2014)
ACM Senior Member (2007)
Binoy Ravindran ACM Distinguished Member (2014)
Luis Rodrigues ACM Senior Member (2011)
Rizos Sakellariou ACM Senior Member (2015)
Yu Wang ACM Senior Member (2011)
Tao Xie ACM Distinguished Member (2015)
ACM Senior Member (2011)
Franco Zambonelli ACM Distinguished Member (2012)
ACM Senior Member (2009)
Franco Zambonelli ACM Distinguished Member (2012)
ACM Senior Member (2009)

First Name Last Name Paper Counts
Franco Zambonelli 7
Athanasios Vasilakos 6
Danny Weyns 4
Marco Mamei 4
Ali Ebnenasir 3
Márk Jelasity 3
Marin Litoiu 3
Sandeep Kulkarni 3
Jeremy Pitt 3
Sébastien Tixeuil 3
Sam Malek 3
Xiaobo Zhou 3
Rajkumar Buyya 3
Marco Dorigo 3
Anish Arora 3
Anwitaman Datta 2
Jacob Beal 2
Stuart Allen 2
Carlo Mastroianni 2
Josep Arcos 2
Ram Dantu 2
Akihiro Nakao 2
Naeem Esfahani 2
Christos Yfoulis 2
Simon Dobson 2
Fabrice Saffre 2
Juan Rodríguez-Aguilar 2
Paolo Romano 2
Fabio Massacci 2
Paddy Nixon 2
Nancy Lynch 2
Shouhuai Xu 2
Robrecht Haesevoets, 2
Alexander Helleboogh 2
Yu Wang 2
Maite López-Sánchez 2
Mohamed Bakhouya 2
Karl Aberer 2
Eric Yuan 2
Gabriella Castelli 2
Munindar Singh 2
Sudip Misra 2
Michael Wooldridge 2
Yufeng Wang 2
Li Xu 2
Klaus Herrmann 2
Vincenzo Loia 2
Ada Diaconescu 2
Gualtiero Colombo 2
Wenlian Lu 2
Anastasios Gounaris 2
Tom Holvoet 2
Matteo Mordacchini 2
Andrea Passarella 2
Roger Whitaker 2
Sarunas Girdzijauskas 2
Erol Gelenbe 2
Antonio Coronato 2
Hartmut Schmeck 2
Christian Bettstetter 2
Borzoo Bonakdarpour 2
Jan Sacha 2
Mark Shtern 2
Jeffrey Tsai 2
Shlomi Dolev 2
Lifeng Sang 2
Hausi Müller 1
Paul Havinga 1
Luidnel Maignan 1
Christian Müller-Schloer 1
Michael De Rosa 1
James Reggia 1
Xavier Défago 1
Giandomenico Spezzano 1
Karsten Schwan 1
Ladan Tahvildari 1
Tatsuya Suda 1
George Alyfantis 1
Daniel Schneider 1
Mario Trapp 1
Pejman Iravani 1
Tina Nolte 1
Carlo Ghezzi 1
Jason Hallstrom 1
Ivana Dusparic 1
Emerson Loureiro 1
Yan Meng 1
Dominik Fisch 1
Andrea Bondavalli 1
Marina Kopeetsky 1
Alex Liu 1
Gilles Muller 1
Giuseppe Anastasi 1
Gabriel Moreno 1
Bradley Schmerl 1
Parisa Zoghi 1
Hani Hagras 1
Dario Pompili 1
Matteo Gaeta 1
Elena Val 1
Matteo Vasirani 1
Siqi Chen 1
Tao Li 1
Sam Macbeth 1
Michele Loreti 1
Rosario Pugliese 1
Bo Xu 1
Ouri Wolfson 1
Chonho Lee 1
Alessandro Papadopoulos 1
Guillaume Pierre 1
Michael Bonani 1
Cristiana Amza 1
Bin Xiao 1
Cornel Barna 1
Juan Burguillo 1
Vinaitheerthan Sundaram 1
Carlos Flores 1
Zhiyuan Li 1
Rachid GUERRAOUI 1
Ted Herman 1
Hui Cao 1
François Bonnet 1
Jordi Sabater-Mir 1
Prashant Shenoy 1
Andrea Omicini 1
Terry Payne 1
Angelo Susi 1
Binoy Ravindran 1
Imrich Chlamtac 1
Laurencetianruo Yang 1
Santi Phithakkitnukoon 1
Arantza Illarramendi 1
Giacomo Cabri 1
Andres Quiroz 1
Zhenxin Zhan 1
Abdolhossein Sarrafzadeh 1
Christian Igel 1
Toshimitsu Masuzawa 1
Habib Ammari 1
Salvatore Garruzzo 1
Fan Li 1
Kurt Rothermel 1
Giuseppe De Pietro 1
Ben Paechter 1
Pedro Marrón 1
Stephen Fairclough 1
Yaochu Jin 1
Martin Jänicke 1
Bernhard Sick 1
Tao Xie 1
Philippe Leroux 1
Simone Brienza 1
Pablo Trinidad 1
Kyle Canavera 1
Arne Brutschy 1
Pedro Ruivo 1
Jingshu Chen 1
Alberto FernáNdez 1
João Magalhães 1
Dries Harnie 1
Wolfgang Meuter 1
Francesco Quaglia 1
Rocco Nicola 1
Kurt Vanmechelen 1
Sajjad Haider 1
Homa Hosseinmardi 1
Akshay Mysore 1
Danilo Pani 1
Francesca Palumbo 1
Alexander Gogolev 1
Amir Payberah 1
Florian Siefert 1
Michela Meo 1
Junichi Suzuki 1
Zonghua Zhang 1
Martina Maggio 1
Francesco Mondada 1
Elio Tuci 1
Gokul Soundararajan 1
Minyi Guo 1
Jim Dowling 1
Johann Bourcier 1
Zhuoyao Zhang 1
Boonthau Loo 1
Pichung Wang 1
Yue Yu 1
Makoto Takizawa 1
Zongxing Xie 1
Sukumar Ghosh 1
Ouiddad Labbani-Igbida 1
Ehab Elmallah 1
Noël De Palma 1
Olivier Gruber 1
Michel RAYNAL 1
Ashiq Anjum 1
Daniel Villatoro 1
Timothy Wood 1
Maurizio D'Arienzo 1
Valentina Tamma 1
Michael DeLorimier 1
Jose Royo 1
Roberto Montemanni 1
Hung Chen 1
Lei Liu 1
Xinwen Zhang 1
Stephan Bosch 1
Hans Scholten 1
Olivier Michel 1
Mirko Viroli 1
Peter Lee 1
Alexander Grushin 1
Masafumi Yamashita 1
W Leal 1
Qiaoliang Xiang 1
Lijuan Cao 1
Christian Poellabauer 1
Liqiang Zhang 1
Hongjiang Zhang 1
Dominik Fisch 1
Matteo Gozzi 1
Roberto Posenato 1
António Casimiro 1
Millie Pant 1
Fei Chen 1
Jeehyun Hwang 1
Manuel Roveri 1
Deepak Poola 1
Pushpendu Kar 1
Bikramjit Banerjee 1
Luís Silva 1
Yichuan Jiang 1
Dazhao Cheng 1
Kris Steenhaut 1
Steven Hand 1
Huai Wang 1
Chao Li 1
Rui Wang 1
Depei Qian 1
Saleha Raza 1
Nikolaus Correll 1
Luigi Raffo 1
Lucio Marcenaro 1
Krzysztof Rzadca 1
Gunnar Kreitz 1
Sonja Buchegger 1
Nikolaj Marchenko 1
Dawei Feng 1
Cécile Germain 1
Neil Harvey 1
Shrideep Pallickara 1
Alexander Schiendorfer 1
Alexander Artikis 1
Franck Gechter 1
Y Dai 1
Y Xiang 1
Qingjun Xiao 1
Marco Vanneschi 1
Bartosz Biskupski 1
Julie McCann 1
Prakash Kolan 1
Ludmila Cherkasova 1
Abhishek Verma 1
Hamid Mukhtar 1
Paul Grace 1
Franck Petit 1
James Aspnes 1
Michael Fischer 1
Colette Johnen 1
Fabienne Boyer 1
Lehung Vu 1
Richard McClatchey 1
Irfan Habib 1
Vinay Sridhara 1
Chaiporn Jaikaeo 1
Stefan Poslad 1
Loris Penserini 1
Brian Dougherty 1
Douglas Schmidt 1
E Jensen 1
Francesco De Pellegrini 1
Niloy Ganguly 1
Matthew Francisco 1
Indranil Gupta 1
Malik Magdon-Ismail 1
Naveen Sharma 1
Thomas Vogel 1
Xinyuan Wang 1
Liang Zhang 1
Jose Fernandez-Marquez 1
Matteo Casadei 1
Kirstie Bellman 1
Anish Arora 1
Sajal Das 1
Wouter Joosen 1
Jeffrey Johnson 1
Antonio Brogi 1
Roy Campbell 1
Christian Becker 1
Gregor Schiele 1
Abdelhamid Bouchachia 1
Mohammad Dashti 1
Fabrice Fessant 1
Monica Dixit 1
Sergey Legtchenko 1
Sébastien Monnet 1
David Garlan 1
Mario Mense 1
Christian Schindelhauer 1
Domenico De Guglielmo 1
Javier Cámara 1
Jesús García-Galán 1
Stefan Dulman 1
Eric Pauwels 1
Jianye Hao 1
João Paiva 1
Alberto Rosi 1
Landon Kraemer 1
Yanfei Guo 1
Pasquale Gurzì 1
Ann Nowé 1
Dídac Busquets 1
Sebastiano Peluso 1
W Chan 1
Michael Rovatsos 1
Adel Toosi 1
Carlo Sau 1
Fathiyeh Faghih 1
Zhiquan Sui 1
Vlad Tanasescu 1
Lukas Esterle 1
Bernhard Rinner 1
Fatemeh Rahimian 1
Wolfgang Reif 1
Hong Shen 1
Corina Stratan 1
Julia Schaumeier 1
Paolo Costa 1
Yi Pan 1
Jiaqing Luo 1
Vassilios Tzerpos 1
Philippe Lalanda 1
Marco Conti 1
Jianye Hao 1
Pedro Avila 1
Guy Bernard 1
Kevin Kwiat 1
Tomoya Enokido 1
LiWu Chang 1
Reuven Yagel 1
Dana Angluin 1
Sylvain Sicard 1
Yanping Zhang 1
Sarah Gallacher 1
Punyaslok Purkayastha 1
Sandip Sen 1
Abhishek Chandra 1
Marco Locatelli 1
David Tacconi 1
Nathan Eagle 1
Nikil Mehta 1
Eduardo Mena 1
Gianni Caro 1
Alberto Montresor 1
Jeffrey Baumes 1
Yookyung Jo 1
Johannes Klinglmayr 1
Mariachiara Puviani 1
Giovanna Serugendo 1
Nathan Gnanasambandam 1
Yonghong Wang 1
Rolf Würtz 1
Emre Çakar 1
Axel Wegener 1
Horst Hellbrück 1
Stéphane Devismes 1
Vincent Villain 1
Mohamed Mansour 1
Sameh Abdelaziz 1
S Bapat 1
Rizos Sakellariou 1
Yun Yang 1
Teresa Dahlberg 1
Sayan Mitra 1
Hao Jiang 1
Vinny Cahill 1
Răzvan Popescu 1
Anand Ranganathan 1
Nadia Nedjah 1
Edgar Kalkowski 1
Dongqing Shi 1
Paulo Veríssimo 1
Nicholas Jennings 1
Kai Zhang 1
Paolo Lollini 1
Davide Pierattoni 1
Ajith Abraham 1
Sébastien Roy 1
Luís Rodrigues 1
Eunkyung Lee 1
Yifeng Zhou 1
Yunpeng Li 1
Changjun Jiang 1
Miguel Rebollo 1
Themistoklis Charalambous 1
Matthew Malensek 1
Peter Lewis 1
Jan Steghöfer 1
Markos Anastasopoulos 1
Panayotis Cottis 1
Jacopo Panerati 1
Henry Hoffmann 1
Roderich Groß 1
Spyros Denazis 1
Nikita Schmidt 1
Emanuele Vespa 1
Djamel Belaïd 1
Jaafar Gaber 1
Douglas Herbert 1
Thiago Quirino 1
Shuching Chen 1
Kajari Dastidar 1
Emre Ertin 1
Mohamed Gouda 1
Benoit Claudel 1
Saïd Hoceïni 1
Omer Rana 1
Chienchung Shen 1
Peter McBurney 1
Anna Perini 1
Luca Gambardella 1
Frederick Ducatelle 1
Tore Urnes 1
Zhenwei Yu 1
Regina Frei 1
Hristo Koshutanski 1
Thomas Weigert 1
Krishna Venkatasubramanian 1
Tridib Mukherjee 1
Sandeep Gupta 1
Zhao Zhang 1
Mihai Marin-Perianu 1
Seth Goldstein 1
Sándor Fekete 1
Christiane Schmidt 1
Martin Biely 1
Alain Cournier 1
Mikhail Nesterenko 1
Samia Souissi 1
Mazeiar Salehie 1
Ricardo Araújo 1
Stathes Hadjiefthymiades 1
Domenico Rosaci 1
Agostino Forestiero 1
Jinjun Chen 1
Xinghua Shi 1
Michael Lemmon 1
Stephan Schuhmann 1
Athanasios Staikopoulos 1
Marcus Handte 1
Nicola Bicocchi 1
Norman Paton 1
Ramachandra Kota 1
Giuseppe Pozzi 1
Stevens Blond 1
Franco Blanchini 1
Daniele Caneva 1
Musrrat Ali 1
Hamoun Ghanbari 1
Mauro Birattari 1
Wamberto Vasconcelos 1
Diego Didona 1
Evangelia Kalyvianaki 1
Jose Fernandez-Marquez 1
Arjun Chandra 1
Jim Tørresen 1
Channah Naiman 1
Marco Santambrogio 1
Alberto Leva 1
François Charpillet 1
Gabriele Mencagli 1
Juan Rodríguez-Aguilar 1
Ibrahim Al-Oqily 1
Ahmed Karmouch 1
Maria Salamó 1
Giuseppe De Pietro 1
Shyrkuen Chen 1
Gordon Blair 1
Yunghsiang Lu 1
Nianen Chen 1
Kenichi Watanabe 1
Johanne Cohen 1
Anurag Dasgupta 1
Sara Bouchenak 1
Gopidi Rajesh 1
Xiannuan Liang 1
Vilmos Bilicki 1
Nick Taylor 1
M Williams 1
Abdelhamid MELLOUK 1
Sherali Zeadally 1
Bhuvan Urgaonkar 1
Abderrafiâa Koukam 1
Paolo Petta 1
Giuseppe Vizzari 1
Daniele Miorandi 1
Iacopo Carreras 1
Rob Claxton 1
Jean Deneubourg 1
Michael Ingleby 1
Robert Ward 1
Steven Ko 1
Holger Giese 1
Songqing Chen 1
Chorping Low 1
Ulrik Schultz 1
Giovanna Di Marzo Serugendo 1
Frédéric Gruau 1
Moez Mnif 1
Urban Richter 1
Jason Campbell 1
Padmanabhan Pillai 1
Pihui Wei 1
Chenyang Lu 1
Keita Fujii 1
Luís Lamb 1
Taekyoung Kwon 1
Seth Gilbert 1
Guido Salvaneschi 1
Matteo Pradella 1
Peng Liu 1
Verena Matjuntke 1
Nicholas Gibbins 1
Carlo Combi 1
Emmanuel Collins 1
Erwan Merrer 1
Pier Montessoro 1
Pierre Sens 1
Liliana Pasquale 1
Kotagiri Ramamohanarao 1
Hakan Duman 1
Victor Callaghan 1
Hariharasudhan Viswanathan 1
Giovanni Acampora 1
Javier Morales 1
Elisa Boix 1
Jose Such 1
Farzad Khodadadi 1
Nikolay Grozev 1
Mirko Viroli 1
Nicholas Farrow 1
Richard Han 1
Sylvain Frey 1
Marco Conti 1
Martin Chorley 1
Xin Yao 1
Gerrit Anders 1
Aly Farahat 1
Jeff Napper 1
Vito Trianni 1
Vincent Chevrier 1
Jordi Campos 1
Qiang Duan 1
Shangping Ren 1
Meiling Shyu 1
Yoann Dieudonné 1
Pawan Goyal 1
Shamimabi Paurobally 1
Jules White 1
Andreas Deutsch 1
Masoodmehmood Khan 1
Mark Goldberg 1
Luciano Baresi 1
Raluca Marin-Perianu 1
Gang Chen 1
Sara Montagna 1
Stefan Fischer 1
Josef Widder 1
Praveen Danturi 1
Lazaros Merakos 1
Zhendong Zhao 1
Marios Dikaiakos 1
Chienliang Fok 1
Gruia Roman 1
Palden Lama 1
Yazan Boshmaf 1
Jesper Andersson 1
Siobhán Clarke 1
Nikola Serbedzija 1
Hongliang Guo 1
Aistis Simaitis 1
Antonio Ruiz-Cortés 1
Arijit Roy 1
Hofung Leung 1
Zhong Ming 1
Manuele Brambilla 1
Peter Vrancx 1
Abdel Rodríguez 1
Gerhard Weiss 1
Theo D’hondt 1
Francesco Tiezzi 1
T Tse 1
Didac Iglesia 1
David Menga 1
Isabelle Demeure 1
Seif Haridi 1
Raffaele Giordanelli 1
Anant Agarwal 1
Dominique Gaïti 1
Antonio Fernández 1
Jiannong Cao 1
Michael Smit 1
Ana Peleteiro 1
Hofung Leung 1
Chungwei Hang 1
Saurabh Bagchi 1
Yoshio Nakajima 1
Hong Jiang 1
Yang Xiao 1
Elizabeth Papadopoulou 1
Manish Parashar 1
John Baras 1
Ke Li 1
Georgia Sakellari 1
Vincent Hilaire 1
Sebastian Rodriguez 1
John Mylopoulos 1
Naixue Xiong 1
Chris Thompson 1
Guanhong Pei 1
Ekram Hossain 1
André DeHon 1
Nachiket Kapre 1
Alfredo Goñi 1
Thomas Labella 1
Geoffrey Canright 1
Özalp Babaoğlu 1
William Wallace 1
Manish Parashar 1

Affiliation Paper Counts
Osaka University 1
National University of Defense Technology China 1
Universite Paris-Sud XI 1
Missouri University of Science and Technology 1
Universite Paris 12 Val de Marne 1
Samsung Information Systems America 1
University of Genoa 1
Fraunhofer Institute for Computer Architecture and Software Technology 1
University of Freiburg 1
City University London 1
Swiss Federal Institute of Technology, Zurich 1
University of Vienna 1
Second University of Naples 1
Naval Research Laboratory 1
University of Edinburgh 1
University of Szeged 1
Liverpool John Moores University 1
University of Ottawa, Canada 1
Lund University 1
University of Chicago 1
Hofstra University 1
Bournemouth University 1
University of Minnesota Twin Cities 1
Aerospace Corporation 1
EDF Electricite de France 1
University of Bath 1
BT Group 1
University of Alberta 1
British Telecommunications plc 1
University of Patras 1
Swedish Institute of Computer Science 1
Johnson C. Smith University 1
Saint Francis Xavier University 1
Japan National Institute of Information and Communications Technology 1
Hashemite University 1
American University of Sharjah 1
University of Cyprus 1
Tongji University 1
Red Hat, Inc. 1
Nanyang Technological University School of Computer Engineering 1
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ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Archive


2016
Volume 11 Issue 1, April 2016
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2015
Volume 10 Issue 3, October 2015
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Volume 9 Issue 4, January 2015

2014
Volume 9 Issue 3, October 2014
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Volume 8 Issue 4, January 2014 Special Section on Best Papers from SEAMS 2012

2013
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2012
Volume 7 Issue 4, December 2012 Special Section: Extended Version of SASO 2011 Best Paper
Volume 7 Issue 3, September 2012
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Volume 7 Issue 1, April 2012 Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms

2011
Volume 6 Issue 4, October 2011
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2010
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2008
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2007
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2006
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