Calls for Papers


7th International Conference on Cloud Computing and Services Science
24-26 April 2017
Porto, Portugal

The 7th International Conference on Cloud Computing and Services Science, Closer 2017, focuses on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations, and available services through the global network. Further, the conference considers as essential the link to Services Science, acknowledging the service-orientation in most current IT-driven collaborations. The conference is nevertheless not about the union of these two (already broad) fields, but about Cloud Computing where we are also interested in how Services Science can provide theory, methods and techniques to design, analyze, manage, market and study various aspects of Cloud Computing.

Emerging Enterprise Technologies are profoundly changing the way we think of IT - from economics and efficiency to process and usage models. Many organizations look to the “externalized” IT systems and services as a potential cost-savings advantage by moving internally hosted IT services to external providers. Other organizations view the “external” IT as potential disaster recovery systems or as on-demand capacity to boost business continuity and customer service levels. We need to take a closer look, discerning what emerging enterprise technologies are and how they can catalyze creativity and produce a competitive advantage. There is hence a new wave of interest in 'Externalization of IT' - anything as a service (including Software as a Service, Infrastructure as a Service, Platform as a Service), On Demand delivery, outsourcing, and so on. This emerging facilitation and way of utilizing services through IT is what we are referring to as Cloud Computing. The five perspectives in which we are addressing the area of Cloud Computing in this conference are: (i) Cloud Computing Fundamentals; (ii) Services Science; (iii) Cloud Computing Platforms and Applications; (iv) Cloud Computing Enabling Technology, (v) Big Data as a Service.

Conference Areas

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

  • Services science
  • Data as a service.
  • Cloud operations and analytics
  • Mobile cloud computing
  • Edge cloud and fog computing
  • Service modelling and analytics
  • Cloud computing fundamentals
  • Cloud computing platforms and applications
  • Cloud computing enabling technology

See the complete call at for more details.

Paper Submissions

  • Regular Papers Paper Submission: 15 December 2016 (expired)
  • Authors Notification: 14 February 2017
  • Camera Ready and Registration: 23 February 2017
  • Position Papers Paper Submission: 24 January 2017
  • Authors Notification: 27 February 2017
  • Camera Ready and Registration: 13 March 2017

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings.Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.


All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).

All papers presented at the conference venue will be available at the SCITEPRESS Digital Library.

It is planned to publish a short list of revised and extended versions of presented papers with Springer in a CCIS Series book (final approval pending).

A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of Springer's Computing Journal.

The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.

IEEE Cloud Computing

Special Issue on Middleware for Multicloud

As Cloud Computing evolved to a widely used computing as a service model, limitations and intrinsic characteristics of monolithic cloud provider offerings emerged. Moreover, specialized computing power such as clusters, GPUs, solid state storage, and specific applications at different service levels can now be acquired as services from different providers. The use of a combination of cloud services from various providers can be performed to contour limitations of a single provider and enhance application execution by gathering together the necessary specific, on demand resources for a wide range of applications. Multicloud Middleware has a central role in providing a combination of resources from different cloud providers by implementing a distributed system platform that is able to efficiently coordinate them.

This IEEE Cloud Computing Magazine Special Issue on Middleware for Multicloud aims to cover all aspects of design and implementation, as well as deployment and evaluation of multicloud middleware and its components. A middleware for multicloud connects multiple clouds to allow automatic, transparent, and on demand application execution that takes advantage from the synergy among resources of different providers. For this synergy to become effective and efficient, connecting different providers across their boundaries brings new, challenging efforts. Multicloud middleware design and deployment must solve challenges that include resource management and scheduling, identity management, trust and security issues, business models, and incentive mechanisms in multicloud environments. We invite authors to submit outstanding and original manuscripts on all aspects related to middleware for multiclouds, including, but not limited to:

  • cloud middleware design and implementation,
  • middleware performance and evaluation,
  • middleware for data management,
  • middleware for cloud federations,
  • middleware for hybrid clouds,
  • brokering mechanisms,
  • auditing and accounting,
  • resource discovery and management,
  • multicloud middleware for the Internet of Things,
  • scheduling and load balancing, and
  • cross-service-level management (IaaS, PaaS, SaaS, and XaaS).

Guest Editors

  • Luiz F. Bittencourt, University of Campinas
  • Rodrigo N. Calheiros, University of Melbourne
  • Craig A. Lee, Aerospace Corporation

Submission Information

  • Submission deadline: 16 January 2017 -- extended deadline
  • Publication date: July/August 2017

Submissions should be 3,000 to 5,000 words long, with a maximum of 15 references, and should follow the magazine’s guidelines on style and presentation (see for full author guidelines). All submissions will be subject to single-blind, anonymous review in accordance with normal practice for scientific publications. For more information, contact the guest editors at

Authors should not assume that the audience will have specialized experience in a particular subfield. All accepted articles will be edited according to the IEEE Computer Society style guide (

Submit your papers through Manuscript Central at


4th Workshop on CrossCloud Infrastructures & Platforms
23 April 2017
Colocated with the European Conference on Computer Systems (EuroSys), Belgrade, Serbia


CrossCloud is an international workshop series that aims to bring to light several issues related to cross-cloud systems: cloud federation, multi-cloud architectures, cross-cloud applications, and hybrid clouds. CrossCloud aims to attract researchers from both academia and industry to share and discuss their recent research and experiences in designing and operating multiple cloud systems. Work in this area extends over various topics including cross-cloud resource management, monitoring, service migration, API interoperability, portability, policy enforcement, benefit–cost analysis, and fault mitigation.

Topics of Interest

Authors are invited to submit papers covering, but not limited to, the following topics:

  • Cross-cloud systems: resource management across multiple clouds (for example, load balancing, performance optimization, security and privacy policy enforcement).
  • Containers and Virtual Machine (VM) management across several cloud infrastructures (for example, VM placement and migration).
  • Fog/edge computing: fog-based infrastructures, caching, performance and services.
  • Micro-services: system design, monitoring and management using containers and/or microkernels to achieve cloud provider independence.
  • Cross-Cloud agility: dynamic application deployment across multiple cloud platforms, flexibility in moving between different providers and vendors.
  • Hybrid cloud infrastructures management: public and private clouds, heterogeneous cloud systems, cloud and cluster/grid systems.
  • Cloud-bursting: workload offloading, multi-cloud resource scheduling strategies.
  • Cross-cloud SDKs and APIs: design, maintenance, support and performance evaluation.
  • Application portability: priorities, restrictions, and lock-in mitigation techniques and measures.
  • API interoperability: study cases and experiences with data and applications.
  • Interoperability between managed services (for example, MapReduce, DB, message queues, and so on).
  • Decision support systems: efficient and open application deployment and monitoring across different cloud platforms and providers, cloud brokerage as a means of complexity outsourcing.
  • Scalable multi-cloud monitoring: monitoring among different cloud environments, relevant metrics at the different levels of the stack (for example, network access), monitoring overhead analysis.
  • Experiences: assembling and (re)deploying in heterogeneous multi-cloud environments, costs and benefits of cross-cloud management and deployment, challenges in existing cross-cloud platforms, case studies on building or federating multi-cloud systems.
  • Cross-Cloud security: identity and access management across infrastructure boundaries, reconciling application security and privacy requirements across multiple SLAs.

Important Dates

  • Paper submission: 30 January 2017 -- extended deadline
  • Author notification: 28 February 2017
  • Camera-ready version: 31 March 2017

All deadline times are Anywhere on Earth.

Submission Guidelines

We solicit two types of submissions: (1) technical papers (max six double-column pages), and (2) posters (max two double-column pages). Each submission will receive at least three single-blind peer reviews. Authors of technical papers are also encouraged to prepare a poster to be displayed in the workshop's poster sessions.

For submission instructions visit

Journal Special Issue

Like in the former editions of the workshop, authors of the best technical papers will be invited to submit an extended version of their work to the Springer Open Journal of Internet Services and Applications thematic series on cross-cloud computing (JISA-CCC).


  • General and Technical Program Co-Chairs: Yehia Elkhatib (Lancaster University, UK) Mohamed Faten Zhani (École de Technologie Supérieure, Canada)
  • Steering Committee: Gordon S. Blair (Lancaster University, UK) Raouf Boutaba (University of Waterloo, Canada)
  • Publicity Co-chairs: Michele Nogueira (Federal University of Parana, Brazil) Walter Cerroni (University of Bologna, Italy)


IEEE Internet Computing

Special Issue on 5G

The past two decades have witnessed phenomenal progress in wireless access to the Internet and telecommunication services from mobile devices, ranging from smartphones to laptops to specialized devices. Cellular network operators in several countries have deployed fourth-generation long-term evolution (4G LTE) radio technologies to keep up with the demand from the market, especially for video and social media services. Long-term plans are under way for cellular networks to continue to evolve and grow in performance, flexibility, quality of experience, and energy efficiency. The fifth generation — 5G — is the umbrella term for the next generation of cellular network technologies to be deployed in the 2020 time frame.

The 5G umbrella includes advances on several different fronts, all of which are required for vendors and mobile network operators to meet market demands with cost-effective deployments. Radio access technologies are a critical foundation for mobile services, and are often a constraining factor, as users now expect mobile services to fully match wired services. In addition to enhancing existing services, 5G is expected to enable new demanding services, such as virtual reality and remotely controlled machines. Compared to 4G, the targets for 5G radio performance include higher user rates, stringent end-to-end latency, higher spectral efficiency, and greater user density, as well as a much larger number of end users. Use of advanced radio techniques — such as advanced multiple input, multiple output (MIMO) — is envisioned to support these requirements.

As spectrum choice increases, 5G devices will have a greater ability to utilize different bands, including wider radio bands at higher frequencies and unlicensed spectrums. Thus, 5G must address the expected explosion in the number of end devices as a result of machine to machine (M2M) communication and the Internet of Things (IoT). More end users with different traffic requirements will place a significant burden on the network. The network architectures and technologies are going through a major transformation to provide flexibility, scalability, and the ability to handle a heterogeneous mix of usage scenarios, and cost-effective deployment and operations. Network Function Virtualization (NFV) will be widely used to bring cloud computing capabilities to both the radio access network and the core network. Software-defined mobile network (SDN) architectures and network slicing will provide enough flexibility to support a diverse mix of services and deployment scenarios. Key network protocols and functions such as mobility management will change to handle the required scale and to take full advantage of NFV and SDN.

As 5G devices and networks are standardized, designed, tested, and deployed, they will provide incremental changes and evolution in some areas, and profound discontinuous changes in others. What are the key technology trends and primary challenges of 5G? How will 5G change mobile services, access and core networks, and the Internet? How are the challenging new use cases and services driving changes in architecture and standards? Which areas of technology will see incremental changes, and which areas will see disruptive innovation? Will the implementation of 5G play out differently in various markets?

This special issue will provide a comprehensive and timely update of 5G radio and network technologies. We seek papers from industry and academia to address these themes. Of particular interest are review and tutorial articles that summarize the subject area, and provide guidance to network and service researchers and planners so that they can anticipate the impact of 5G on networks and envision new mobile services. Relevant topics include: innovations in 5G radio technologies; innovations in 5G network architectures; new mobile services and use cases in 5G; IoT’s impact on 5G; multi-radio access technology for 5G; network function virtualization (NFV) for 5G; SDN’s role in 5G networks; network slicing architectures for 5G; mobile edge computing in 5G; security architecture solutions for 5G; and geographical variation in 5G deployment models.

Guest Editors

N.K. Shankaranarayanan and Arunabha Ghosh (

Submission Guidelines

  • Final submissions due: 12 January 2017
  • Publication issue: September/October 2017
  • Please email the guest editors a brief description of the article you plan to submit by 12 December 2016. 

All submissions must be original manuscripts of fewer than 5,000 words, focused on Internet technologies and implementations. All manuscripts are subject to peer review on both technical merit and relevance to IC’s international readership—primarily practicing engineers and academics who are looking for material that introduces new technology and broadens familiarity with current topics. We do not accept white papers, and papers which are primarily theoretical or mathematical must clearly relate the mathematical content to a real-life or engineering application. To submit a manuscript, please log on to ScholarOne ( to create or access an account, which you can use to log on to IC’s Author Center and upload your submission.


International Workshop on Assured Cloud Computing and QoS Aware Big Data (in conjunction with CCGrid 2017)
14-17 May 2017
Madrid, Spain


Submissions are solicited for the one day International Workshop on Assured Cloud Computing and QoS aware Big Data (WACC 2017), which will be held in conjunction with the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing in Madrid, Spain. The workshop will include a mix invited talks, refereed papers, and panels. Papers will appear in the workshop proceedings to be published by the IEEE and CCGrid.

Scope, Goals, and Vision

WACC draws together researchers, practitioners, and thought leaders from government, industry, and academia. The workshop provides a forum of dialogue centered upon the development and advancement of an effort to design, implement, and evaluate dependable cloud architectures that can provide assurances with respect to security, reliability, and timeliness of computations (or services). Some new “assured” target applications include, but are not limited to, dependable Big Data applications and streaming, data analytics and its tools, real-time computations for monitoring, control of cyber-physical systems such as power systems, and mission critical computations for rescue and recovery.

The technical emphasis of WACC is design, implementation, and evaluation of cloud services, data analytics tools, and security solutions to enable dependable Big Data applications. Research on cloud services, ICT-skilled data scientists and application developers can find complementary solutions and partnerships to evaluate and integrate additional solutions. Data scientists can find new tools that could address existing needs.

Topics of Interest

We invite submissions on any topic related to cloud computing that aligns with the workshop goals listed above.

  • Assurance in clouds and their applications including time-critical cloud computations, streaming and the QoS of cloud services.
  • Assurances and early validation for Big Data, its algorithms, innovative data models, analytic solutions, and applications.
  • Experiences on the proactive and reactive allocation of cloud resources for Big Data applications.
  • Dependability challenges in cloud environments and novel techniques including dependable performance for Big Data applications.
  • Security and availability of the networks for assured cloud computing.
  • State of the art techniques to provide cloud resiliency, cloud resource management for Big Data, on-demand elasticity for Big Data, reliable and scalable cloud services.
  • Role of virtualization and multicore hardware in assuring security and reliability.
  • Validation using experimental and/or formal methods.
  • Integrity verification and attestation.
  • Metrics and risk models for assessing assurance of cloud environments.
  • Game theory and mathematical modelling of cloud computing security.
  • Assured services, protocols and standards for clouds.
  • Secure data management and computation outsourcing.
  • Security and privacy aspects in cloud services, efficient data protection mechanisms for Big Data and data privacy at storage layer.
  • Usability of assurance provisions, interoperability, use cases.
  • Cost of assured clouds, energy, trade-offs, budget.
  • Identity management and authentication.
  • Policy management access controls, authorization for clouds and Big Data.
  • Trust and Regulatory Compliance.

Important Dates

  • Submissions: 15 January 2017 (anywhere on Earth)
  • Decisions: 7 February 2017
  • Camera Ready Versions: 27 February 2017

Submission Requirements

Submission deadline 
Submissions of full papers must be made by the deadline, Sunday, January 15, 2017 (anywhere on Earth) through EasyChair by SELECTING THE TRACK “International Workshop on Assured Cloud Computing and QoS Aware Big Data” in the submission link:

Submission format
Authors are invited to submit papers electronically in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter-sized (8.5 X 11) pages including all figures, tables and references using the IEEE format for conference proceedings.

Formatting templates (click links to download)


Submissions not conforming to these guidelines may be returned without review. The official language of the workshop is English. All manuscripts will be reviewed and judged on technical strength, originality, significance, quality of presentation, and relevance to the workshop attendees.

Information for authors 
Submission of the paper implies that should the paper be accepted, at least one of the authors must register and present the paper at the workshop.

Submissions must not have been published previously, and may not be submitted in parallel to any other journal or conference/workshop with published proceedings. The program chairs reserve the right to consult confidentially with other chairs and responsible parties if a double submission is suspected.

Workshop Organizers

  • Ignacio Blanquer, Universitat Politènica de València, ES
  • Rakesh Bobba, Oregon State University, US
  • Andrey Brito, Federal University of Campina Grande, BR
  • Roy Campbell, University of Illinois at Urbana-Champaign, US
  • Roberto Cascella, Trust-IT Services, UK
  • Christof Fetzer, Dresden University of Technology, DE
  • Zbigniew Kalbarczyk, University of Illinois at Urbana-Champaign, US
  • Charles Kamhoua, Air Force Research Laboratory, US
  • Kevin Kwiat, Air Force Research Laboratory, US
  • Wagner Meira, Jr., Federal University of Minas Gerais, BR
  • Luigi Romano, Synclab S.r.l., IT


Technical Program Committee

  • Jussara Almeida, Federal University of Minas Gerais, BR
  • Nazareno Andrade, Federal University of Minas Gerais, BR
  • Muno Antunes, University of Coimbra, PT
  • Rosa Badia, Barcelona Supercomputing Center, ES
  • Tania Basso, University of Campinas, BR
  • Enrico Barbierato, Politecnico di Milano, IT
  • Walter dos Santos, Federal University of Minas Gerais, BR
  • Pascal Felber, University of Neuchatel, CH
  • Sandro Flore, CMCC, IT
  • Karthik Gopalan, Binghamton University, US
  • Dorgival Guedes, Federal University of Minas Gerais, BR
  • Yier Jin, University of Central Florida, US
  • Stefan Kopsell, Dresden University of Technology, DE
  • Daniele Lezzi, Barcelona Supercomputing Center, ES
  • Chen Liu, Clarkson University, US
  • Andre Martin, Dresden University of Technology, DE
  • Andrew Martin, Oxford University, UK
  • German Moltó, Universitat Politècnica de València, ES
  • Laurent Njilla, Air Force Research Laboratory, US
  • Karthik Pattabiraman, University of British Columbia, CA
  • Peter Pietzuch, Imperial College, UK
  • Nádia Puchalski Kozievitch, Federal Technical University of Parana, BR
  • Harigovind V. Ramasamy, IBM, US
  • Sachin Shetty, Old Dominion University, US
  • Jian Tang, Syracuse University, US
  • Aad van Moorsel, University of Newcastle, UK
  • Marco Viera, University of Coimbra, PT
  • Monica Vitali, Politecnico di Milano, IT
  • Long Wang, IBM, US
  • Lok Yan, Air Force Research Laboratory, US
  • Ming Zhao, Arizona State University, US

IEEE Cloud Computing

Special Issue on Cloud-Native Applications

IEEE Cloud Computing magazine seeks accessible, useful papers for a special issue on Cloud-Native Applications and Architecture. Many applications in enterprises are not able to leverage the advantages of cloud computing without a great deal of refactoring – a process that is costly, time consuming and often producing disappointing results. However, over the last five years we have seen cloud software architectures evolve that promote the design of applications that, from conception to deployment, are envisioned, prototyped and built with cloud tools and cloud resources. These cloud-native applications are born and run in the cloud and follow new classes of design and maintenance patterns.

The purpose of the special issue is to urge the research community to better define and document the cloud-native movement. Topics of interest include but are not limited to:

  • Frameworks to make it easier for industry to build cloud-native applications;
  • Educational approaches and community based organizations that can promote cloud-native design concepts;
  • The tooling to develop cloud-native applications;
  • The role of open source for building cloud-native applications;
  • VM and container orchestration systems for managing cloud-native designs;
  • Cloud-native applications running in hybrid cloud or migrated from one cloud to another;
  • Efficient mechanisms to make legacy applications cloud-native;
  • Comparing applications – one cloud-native and the other not – in terms of performance, security, reliability, maintainability, scalability, etc.;
  • Cloud-native applications for various industry sectors (engineering, financial, scientific, health);
  • Cloud-native operating systems and databases; and
  • New models for capacity planning and pricing inspired by cloud-native architecture paradigms.

Special Issue Guest Editors

  • Roger Barga, Amazon AWS
  • Dennis Gannon, Indiana University
  • Neel Sundaresan, Microsoft Corporation

Submission Information

  • Submission deadline: 1 March 2017
  • Publication date: September/October 2017


Submissions should be 3,000 to 5,000 words long, with a maximum of 15 references, and should follow the magazine’s guidelines on style and presentation (see for full author guidelines). All submissions will be subject to single-blind, anonymous review in accordance with normal practice for scientific publications. For more information, contact the guest editors

Authors should not assume that the audience will have specialized experience in a particular subfield. All accepted articles will be edited according to the IEEE Computer Society style guide (

Submit your papers through Manuscript Central at

IEEE Cloud Computing

Special Issue on Intelligence in the Cloud

Artificial Intelligence (AI), since its birth in 1950s, has been heralded as the key to our civilization’s brightest future. To pursue the vision of AI, various machine learning approaches (for example, deep learning, supervised learning, unsupervised learning, reinforcement learning, and so on) have been proposed and a few have actually been developed and deployed in the market. The recent hype around big data has enthusiastically renewed the call and focus for advanced machine learning technologies to extract knowledge from large data pools. With its rich resource provisioning, cloud computing is widely regarded as an ideal platform to facilitate resource-intensive machine learning so as to enable intelligence in the cloud. Integrating intelligence into the cloud is without doubt a promising development trend to both cloud computing and AI.

We are still at the early stage of integrating intelligence into the cloud. Toward this exciting future, the path still entangles many critical challenges in different aspects.

  • At the application layer, cloud-based efficient and powerful AI techniques that target various applications such as natural language processing, stock analysis, medical diagnosis, intelligent industry control, intelligent transportation, and scientific discovery.
  • At the platform layer, while intelligence has been deployed (for example, Spark’s scalable machine learning MLlib and Google’s cloud machine-learning framework TensorFlow) new machine learning engines are expected for emerging computing frameworks (for example, the dataflow computing model HAMR).
  • At the infrastructure layer, new cloud computing architecture and resource scheduling strategies are required to support computation-intensive and IO-intensive machine learning algorithms. How to configure cloud computation, storage, and networking resources for fast, efficient, and scalable machine learning must still be addressed.

The goal of this special is to seek original articles examining the state of the art, open research challenges, new solutions, and applications for intelligence in the cloud with special focus on, but not limited to, the following topics:

  • new distributed architecture for machine learning;
  • new machine learning engines in the cloud;
  • analytics architectures, frameworks, and models for complex intelligent systems;
  • intelligent cloud applications or services such as intelligent traffic, intelligent buildings, intelligent environments, intelligent businesses, and so on;
  • cloud resource allocation and optimization through machine-learning algorithms;
  • machine learning for cloud resource management;
  • combining human and machine intelligence in the cloud; and
  • security and privacy issues for intelligent systems in the cloud.

Special Issue Guest Editors

  • Song Guo, The Hong Kong Polytechnic University, Hong Kong
  • Victor Leung, University of British Columbia, Canada
  • Xin Yao, University of Birmingham, UK

Submission Information

  • Submission deadline: 1 May 2017
  • Publication date: November/December 2017


Submissions should be 3,000 to 5,000 words long, with a maximum of 15 references, and should follow the magazine’s guidelines on style and presentation (see for full author guidelines). All submissions will be subject to single-blind, anonymous review in accordance with normal practice for scientific publications. For more information, contact the guest editors at

Authors should not assume that the audience will have specialized experience in a particular subfield. All accepted articles will be edited according to the IEEE Computer Society style guide (

Submit your papers through Manuscript Central at

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