[hpc-announce] CFP: Special Issue on Elastic Computing from Edge to the Cloud

[Shrideep Pallickara]

CFP: Special Issue on Elastic Computing from Edge to the Cloud 

Software: Practice and Experience (Wiley Press)

Call for Papers
Today, a huge amount of data is being generated by the Internet of Things (IoT), such as smartphones, sensors, cameras, cars, and robots. These data have been traditionally processed in the Cloud with various Big Data platforms (e.g. Hadoop, Spark), with Artificial Intelligence methods, and similar. Elasticity represents the ability to quickly expand or decrease computer processing, memory, and storage resources to meet changing demands without worrying about capacity planning and engineering for peak usage. Such mechanisms already exist for the Cloud. With the increasing production of Big Data and due to latency, privacy, and other concerns, an Edge computing paradigm has emerged in order to facilitate Big Data processing closer to the source of the data. Edge computing seamlessly integrates hardware and software resources across multiple computing tiers, from the Edge to the Cloud. The Edge consists of heterogeneous and potentially moving devices that are under the control of various entities. Elasticity mechanisms for such a very complex and heterogeneous environment, under different administrative controls, has not been yet fully developed. Since computing resources at the Edge may be power and capacity constrained, it is necessary to invent new lightweight platforms and techniques that seamlessly interact, sense, execute and produce results with very low latency, while at the same time address other high-level requirements of applications with elasticity such as security, and privacy. Regarding these problems, there are many challenges that must be addressed with the invention of new architectures, methods, algorithms, and solutions.

The aim of the Special Issue is to report the state-of-the-art research on Elastic Computing from Edge to the Cloud. This is an open call for contributions.
We look for high-quality work that addresses various aspects of the investigated problem. 

Topics of interest include but are not limited to:
▪ Elasticity solutions for the Edge
▪ Integrate and process data from underlying IoT platforms and services
▪ Smartly select data streams for processing
 
addressing this hot new area of research. The idea is to shortlist the most challenging
Our intention is to discuss various problems, challenges, new approaches, and technologies
problems, to shape future directions for research, foster the exchange of ideas,
standards, and common requirements.

▪ Address elasticity requirements related to the 4 “V” of the Big Data problem: volume, variety, velocity and veracity
▪ Improve the energy-efficient management of resources and tasks processing
▪ Address the QoS and time-critical aspects of smart applications
▪ Facilitate intelligent integration of information arising from various sources
▪ Address the requirements of very dynamic Big Data pipelines (e.g. moving
smartphones, sensors, cars, robots with dynamically changing requirements
for processing)
▪ Provide orchestration methods and scheduling policies that address
dependability, reliability, availability and other high-level application
requirements
▪ Adequately address the inherent variability of resources from the Edge to the
Data Centers
▪ Provide new architectures which use the powerful computing resources of
Data Centers, while at the same time providing optimal QoS to applications
▪ Address elasticity requirements through the use of Blockchain-based Smart
Contracts and Oracles
▪ Implement distributed Artificial Intelligence methods from the Edge to the Data
Center/Cloud



Important Dates
July 30, 2020 - Paper submission due
Sept 30, 2020 - First round evaluation notification
Oct 30, 2020 - Revision submission due
November 15, 2020 - Paper acceptance/rejection notification Dec 15, 2020 - Special Issue



Special Issue Paper Submission
This special issue seeks the submission of papers that present novel and innovative ideas. All submissions go under the regular peer-review process.

The guest editorial board members cover broad expertise from the areas of Edge and
Fog computing, High-Performance Computing, Cloud computing, decentralized/distributed Artificial Intelligence, orchestration and scheduling, Blockchain, and others.
We seek submission of papers that present new, original, and innovative ideas for the "first" time in SPE. Submission of "extended versions" of already published works (e.g., conference papers) is not encouraged unless they contain a significant number of "new and original" ideas/contributions along with more than 50% brand "new" material. If you are submitting an extended version, you must submit a cover letter/document detailing (1) the "Summary of Differences" between the SPE paper and the earlier paper, (2) a clear list of "new and original" ideas/contributions in the SPE paper (identifying sections where they are proposed/presented), and (3) confirming the percentage of new material. Otherwise, the submission will be "desk" rejected without being reviewed.

While submitting the paper to this issue, please select “SPE-SI-BigDataPipelines” in the submission system (https://mc.manuscriptcentral.com/spe).