[hpc-announce] [Deadline Extended] MECC '17 - Workshop on Middleware for Edge Clouds & Cloudlets @ Middleware '17
udrolia at andrew.cmu.edu
Tue Sep 12 23:45:57 CDT 2017
2nd Workshop on Middleware for Edge Clouds & Cloudlets (MECC 2016) <http://mecc2017.dcc.fc.up.pt/> held in conjunction with ACM/IFIP/USENIX ACM International Middleware Conference
Las Vegas, Nevada, USA, 11th-15th December, 2017
IMPORTANT DATES (23:59 GMT/UTC-12)
September 15th, 2017 - Paper submission (EXTENDED)
September 28th, 2017 - Notification of Acceptance
October 20th, 2017 - Final version
The Middleware for Edge Clouds & Cloudlets (MECC) workshop aims to address the increasing need for closer integration between the different tiers on modern cloud computing platforms.
There is a growing trend of interactive and resource-intensive (e.g., compute, storage, need for big data) applications on mobile devices today, and many such applications are provided using resources on infrastructural clouds today. However, it is challenging to provide such applications using cloud resources when there is limited connectivity. Harvesting the resources present on nearby mobile devices (edge-clouds) or edge servers a.k.a cloudlets, in conjunction with the cloud, is a viable solution to this problem.
Today, there is also increasing demand for middleware that offers higher level abstractions without hampering expressiveness and performance. We have seen the rise of Hadoop and Spark for datacentre-based applications. However, these systems and their assumptions such as that nodes use fast and wired interconnects, do not hold for edge resources. In particular, edge clouds, such as those made up of only mobile devices at the edge, use unreliable wireless links. These unreliable links directly translate into unavailability and churn. Simultaneously, since mobile devices have limited energy resources, heavyweight distributed algorithms are impractical.
Along with the edge-clouds, another resource to be leveraged are cloudlets, which were originally envisioned as virtual machines running on server-class hardware deployed in close physical proximity of users, such as at cellular base-stations or wireless controllers. It is now transitioning to a more lightweight approach where these resources can be leveraged through multiple techniques besides the use of virtual machines, where, for example, cloudlets can also offer connectivity support to edge clouds.
With this new trend in sight, there is a need to define the services that should be offered at each tier, and abstractions that tie everything together for developers. For example, cloudlets can provide well-defined APIs to support multiple computation offloading methods. Furthermore, new modular and reconfigurable architectures have to be proposed in order to support a variety of deployment scenarios, such as edge clouds without cloudlet support, and scenarios with very limited access to infrastructural clouds.
Topics of interest include but are not limited to:
- Design and performance of middleware platforms for edge clouds and cloudlets
- Mechanisms for the integration of edge clouds with cloudlets
- Infrastructure-cloud based services for supporting MECC
- Security mechanisms for edge clouds including, but not limited to, storage and computation
- Privacy enforcing algorithms for leveraging MECC
- Formal methods for middleware verification
- Context-aware services by cloudlets
- Sensor fusion for MECC
- Network coding approaches for MECC
- Novel theoretical approaches for churn tolerance
- Lightweight replication and fault-tolerance algorithms
- Distributed coordination and cooperation for edge clouds
- P2P overlays and systems for edge clouds
- Novel storage systems for edge clouds, with special focus on geo-aware storage engines
- Tools for testing and benchmarking MECC
- Experimental deployments and applications
- Programming models and abstractions to manage inter-cloud interactions
Rolando Martins (University of Porto, Portugal)
Hervé Paulino (University Nova of Lisbon, Portugal)
Luis Veiga (Technical University of Lisbon, Portugal)
Paulo Ferreira <http://www.gsd.inesc-id.pt/~pjpf/> (INESC-ID, Portugal)
Fernando Pedone <http://www.inf.usi.ch/faculty/pedone/>(University of Lugano, Switzerland)
Padmanabhan Pillai <http://www.pittsburgh.intel-research.net/people/pillai/> (Intel/Carnegie Mellon University, USA)
Felix Freitag <http://people.ac.upc.es/felix/> (Universitat Politècnica de Catalunya, Spain)
Ruediger Kapitza <http://mecc2017.dcc.fc.up.pt/Ruediger%20Kapitza> (TU Braunschweig, Germany)
Diego Kreutz <https://wwwen.uni.lu/snt/people/diego_kreutz> (University of Luxembourg, Luxembourg)
Luís Antunes <http://www.dcc.fc.up.pt/~lfa/> (University of Porto, Portugal)
Alysson Bessani <http://www.di.fc.ul.pt/~bessani/> (University of Lisbon, Portugal)
Jiaqi Tan <http://users.ece.cmu.edu/~jiaqit/> (DSO National Laboratories, Singapore)
João Lourenço <http://docentes.fct.unl.pt/joao-lourenco> (University Nova of Lisbon, Portugal)
Evangelia Kalyvianaki <http://www.city.ac.uk/people/academics/evangelia-kalyvianaki> (City University London, UK)
Utsav Drolia <http://www.andrew.cmu.edu/user/udrolia/> (Carnegie Mellon University, USA)
Kunal Mankodiya <http://egr.uri.edu/ele/meet/kmankodiya/> (University of Rhode island, USA)
Odorico Mendizabal <http://mendizabal.c3.furg.br/> (Universidade Federal do Rio Grande, Brazil)
Ketan Bhardwaj <http://www.cc.gatech.edu/~kbhardwa/> (Georgia Tech, USA)
Amir M. Rahmani <http://users.utu.fi/amirah/> (UC Irvine, USA and TU Wien, Austria)
Heverson B. Ribeiro <https://www.irisa.fr/asap/?page_id=1056> (University of Neuchâtel, Switzerland)
Jonathan Francis <http://mecc2017.dcc.fc.up.pt/> (Carnegie Mellon University, Bosh Research Pittsburgh, USA)
Eddy Truyen <https://people.cs.kuleuven.be/~eddy.truyen/> (Katholieke Universiteit Leuven, Belgium)
Wolfgang Richter <https://www.soroco.com/> (Soroco, USA)
Jat Singh <http://www.cl.cam.ac.uk/~js573/> (University of Cambridge, UK)
Nuno Preguiça <http://asc.di.fct.unl.pt/~nmp/> (University Nova of Lisbon, Portugal)
David Koll <https://user.informatik.uni-goettingen.de/~dkoll/> (University of Goettingen, Germany)
MECC 2017 will receive proposals for communication in the form of full research papers of at most 6 pages, and short research papers of at most 3 pages, including references. Short papers should either describe work-in-progress, or should describe visions of challenges, problems, and potential research directions in MECC. Content should be work that is not previously published or concurrently submitted elsewhere.
All submissions should be in PDF and must follow the ACM template <http://www.acm.org/sigs/publications/proceedings-templates>. Submissions must have authors information, text, figures, references and appendices (if applicable). Submissions that do not respect the formatting requirement may be rejected without review.
Reviewing is single-blind. This means that the names and affiliations of the authors must appear in the submitted papers. Each paper will receive at least three reviews from members of the program committee.
Submissions should be done through EasyChair at the following URL: https://easychair.org/conferences/?conf=mecc2017 <https://easychair.org/conferences/?conf=mecc2017>
PUBLICATION OF ACCEPTED PAPERS
All accepted papers will appear in a Middleware 2017 companion proceedings, which will be available in the ACM Digital Library prior to the workshop.
At least one of the authors will have to register for the workshop and present the paper.
Authors should also acknowledge the following disclaimer by the ACM: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)
Contact: mecc2017 at easychair.org <mailto:mecc2017 at easychair.org>
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