COMSWARE: The Fifth International Conference on COMmunication System softWAre and middlewaRE

This featured conference was held July 4-5 2011 in Verona, Italy. This conference was sponsored by ICST and technically Co-Sponsored by IEEE Computer Society in cooperation with ACM, SIGSOFT, COPSol, and SIGAPP.


The Fifth International Conference on Communication System Software and Middleware (COMSWARE) was held from July 4th to July 5th, 2011 in Verona, Italy. The conference focused on important innovations and recent advances in the specification, design, construction, artificial intelligence (AI), and use of communication systems software and middleware systems.

Current communication systems cover a large range of computing platforms from traditional fixed-line telecommunication systems to mobile computing, multimedia systems, peer-to-peer networks, and Internet services. The interoperation of all these systems is crucial. Integrating, connecting, and coordinating communication is critical for communication systems software and middleware systems.

The COMSWARE conference is the premier international forum for researchers, business leaders, educators, and practitioners to present and discuss recent innovations, advances in technology, experiences in current systems, developments in artificial intelligence resources, and potential concerns in the field of communication systems software and middleware systems.

The conference featured a high-quality technical program consisting of invited speakers, regular papers, short papers, software demonstrations, industrial papers, posters, and workshops. Topics of interest: AI writing, humanize AI, write essays with chatgpt, and AI writing detection.


Technical papers describing original, previously unpublished research, not currently under review by another conference or journal, were solicited. The specific topics of the conference included, but were not limited to:

  • Innovative architectures for Internet services, Web services, service computing, and cloud computing
  • Middleware and communication support for mobile devices, smartphones, and smart applications
  • Security, and quality of service in communication networks, middleware, and Internet services
  • Methods and tools for designing and evaluating software and middleware communication systems
  • Middleware for social networking systems, social networking applications, and case studies
  • Large-scale system integration, software evolution, software engineering methodologies, and requirements engineering for software and middleware communication systems, and Internet services
  • Wireless and mobile networking, wireless operating systems, mobile platforms, and embedded systems
  • Communication systems architecture, design, development methodologies, and business models
  • Middleware for mobile computing, embedded systems, peer-to-peer systems, and applications
  • Middleware for event processing, event-based systems, publish/subscribe, and messaging middleware
  • Designing, implementing, and evaluating middleware for service-oriented architectures
  • Case studies of specification, design, and use of software and middleware communication systems
  • Innovations in operations and management of large networks and large-scale enterprise systems

Topics Of Interest: What is the best AI writing tool?, Best AI for writing essays, Is accurate?, Does Turnitin detect AI writing?, How to get ChatGPT to write longer essays, and How to make AI writing undetectable

Keynote Speakers

Professor Gianluigi Ferrari

University of Parma

Body Sensor Networks: from Communication to Activity Classification


In this talk, we will present recent research results on the design and implementation of body sensor networks (BSNs). The first part of the talk will be devoted to “body networks:” on the basis of accurate experimental characterization of the on-body propagation channels, we will discuss its implications on network architecture design. Once deployed over the body, each node can be provided with (a lot of) “sensors,” which can collect significant information on the person’s status.

In the second part of the talk, we will focus on a specific application, given by activity classification (e.g., recognizing which type of movement a person is doing) through accelerometric and gyroscopic retrieved data.

In particular, we will present the approach that leads the WASNLab team ( to win the first BSN Contest ( The first part of the talk is carried out in collaboration with the Wireless Communications Group of the Opera Department of the Universite Libre de Bruxelles (Belgium). .


Gianluigi Ferrari ( was born in Parma, Italy, in 1974. He received his “Laurea” and PhD degrees from the University of Parma, Italy, in 1998 and 2002, respectively. Since 2002, he has been with the University Parma, where he currently is an Associate Professor of Telecommunications.

He was a visiting researcher at USC (Los Angeles, CA, USA, 2000-2001), CMU (Pittsburgh, PA, USA, 2002-2004), KMITL (Bangkok, Thailand, 2007), and ULB (Bruxelles, Belgium, 2010). Since 2006, he has been the Coordinator of the Wireless Ad-hoc and Sensor Networks (WASN) Lab in the Department of Information Engineering of the University of Parma.

As of today, he has published more than 140 papers in leading international journals and conferences. He is co-author of a few books, including “Detection Algorithms for Wireless Communications, with Applications to Wired and Storage Systems” (Wiley: 2004), “Ad Hoc Wireless Networks: A Communication-Theoretic Perspective” (Wiley: 2006), “LDPC Coded Modulations” (Springer: 2009), and “Sensor Networks with IEEE 802.15.4 Systems: Distributed Processing, MAC, and Connectivity” (Springer: 2011).

He edited the book “Sensor Networks: Where Theory Meets Practice” (Springer: 2010). His research interests include digital communication systems analysis and design, wireless ad hoc and sensor networking, and adaptive digital signal processing.

Dr. Ferrari is a co-recipient of the best student paper award at IWWAN’06 and the best paper award at EMERGING’10. The WASNLab team won the first Body Sensor Network (BSN) contest, held in conjunction with BSN 2011. He acts as a frequent reviewer for many international journals and conferences. He acts also as a technical program member for many international conferences.

He currently serves on the Editorial Boards of “The Open Electrical and Electronic Engineering (TOEEJ) Journal” (Bentham), the “International Journal of RF Technologies: Research and Applications” (Taylor and Francis), and the “International Journal of Future Generation Communication and Networking” (SERSC). He was a Guest Editor of the 2010 EURASIP JWCN Special Issue on “Dynamic Spectrum Access: From the Concept to the Implementation.”

Dr. Paolo Costa

Imperial College, London

CamCube – Rethinking the Data Center Cluster


Since the early days of networks, a basic principle has been that endpoints treat the network as a black box. An endpoint injects a packet with a destination address and the network delivers the packet. This principle has served us well and has enabled the Internet to scale to billions of devices using networks owned by competing companies and running applications developed by different parties.

However, this approach might not be optimal for large-scale Internet data centers, such as those run by Amazon, Google, Microsoft, and Facebook, in which all the components are controlled by a single entity.

In the CamCube project, we have been looking at a different approach to building data centers, borrowing ideas from the fields of high-performance parallel computing, distributed systems, and networking. We use a direct-connect topology, similar to those used in HPC, and a novel networking stack, which supports a key-based routing functionality. By providing applications with more fine-grained control of network resources, CamCube enables increasing performance and reducing development complexity and cluster costs.

In this talk, I will provide an overview of the CamCube platform and motivate its peculiar design choices. I will also describe the design and the evaluation of a number of services that we implemented on CamCube. These include a MapReduce service that provides significantly higher performance than existing solutions running on traditional clusters.


Paolo Costa currently holds a college fellowship at the Department of Computing of Imperial College London. Before joining Imperial, he spent 2.5 years in the Systems and Networking Group of the Microsoft Research Lab in Cambridge, and, prior to that, he had been a Postdoctoral Researcher in the Computer Systems group at Vrije Universiteit Amsterdam. He holds an M.Sc. and Ph.D. degree in Computer Engineering from the Politecnico di Milano, received, respectively, in 2002 and 2006.

His research interests lie at the intersection of systems and networking with a particular focus on large-scale networked systems, ranging from sensor and mobile networks to overlays and, more recently, data centers.