Call for Special Issue Papers on Autonomic Cloud Computing

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Author: Rajiv Ranjan
Date:  
To: rranjans
Subject: Call for Special Issue Papers on Autonomic Cloud Computing
Dear Colleagues:

Our apologies if you received multiple copies.

*Special Issue on***

*Autonomic Cloud Computing: Technologies, Services, and Applications*

* *

*Concurrency and Computation: Practice & Experience*

*Editor-in-Chief: Geoffrey Fox*



**** Call for Papers ****



Cloud computing delivers infrastructure, platform, and software
(application) as services, which are made available as subscription-based
services in a pay-as-you-go model to consumers. These services are
respectively referred to in industry as Infrastructure as a Service (IaaS),
Platform as a Service (PaaS), and Software as a Service (SaaS). Clouds aim
to power the next generation data centers by architecting them as a network
of virtual services (hardware, database, user-interface, application logic)
so that users are able to deploy and access applications globally and on
demand at competitive costs depending on users QoS (Quality of Service)
requirements. Developers with innovative ideas for new Internet services no
longer require large capital outlays in hardware to deploy their service, or
human expense to operate it. It offers significant benefit to IT companies
by freeing them from the low level task of setting up basic hardware
(servers) and software infrastructures, and thus enabling more focus on
innovation and creating business value for their services.



Emerging Cloud computing applications such as application level Internet
services (e.g. Salesforce.com, Animoto.com), social networking, e-Research,
and e-Business are inherently large and complex. Furthermore, the
infrastructure hosting cloud services are similarly large and complex, with
heterogeneous resource types that may exhibit highly dynamic resource
conditions in terms of their availability, load, power efficiency, and heat
profiles.



With ever increasing system scale, operational costs, and energy
requirements; maximizing overall utility in terms of cost-effectiveness, and
utilization is mandatory. Furthermore, coupled with the complexity,
heterogeneity, uncertainty, dynamism, and criticality of applications hosted
within clouds, there is a requirement for designing and developing of
methodologies that adapt to changing states and behaviors of the Cloud
computing environments in accordance with high-level guidance specified by
system administrators. Self-Managing or Autonomic techniques are inspired by
biological systems that deal with similar challenges of complexity,
dynamism, heterogeneity, and uncertainty, and provide a promising approach
for addressing this requirement. The primary objective of this special issue
is to capture the state-of-the-art in design and development of Autonomic
Cloud Computing technologies, applications, and services. Papers that focus
on end-to-end autonomic cloud system/application behaviors are of particular
interest to this special issue.

* *

*Topics*

Areas of interest for this special issue include the following:

-      Programming models and systems for autonomic cloud applications


-      Adaptive pricing models for IaaS, PaaS and SaaS


-      Virtual machines provisioning and migration services


-      Cloud economics and business models


-      Reliability and robustness models for applications and services
running on the cloud


-      Utility-oriented scheduling and allocation in clouds


-      Power-aware resource management in clouds


-      Application scale-up and scale-out and federation of clouds


-      QoS negotiation and Service-Level Agreements (SLAs) management


-      Internetworking between clouds (InterClouds)


-      Portability of applications and data between different cloud
providers


-      Dynamic monitoring and management of cloud applications


-      Autonomic content delivery networks using storage clouds


-      Application of biologically/socially inspired approaches to clouds


-      Experiences with autonomic cloud systems and applications
Instructions for Special Issue on Autonomic Cloud Computing (SIACC)


·        The editors of the special issue are Rajkumar Buyya, Manish
Parashar, and Rajiv Ranjan.


- Please submit a paper to Manuscript
Central<http://mc.manuscriptcentral.com/cpe>as SIACC special issue by
Feb 10th, 2009
- Notification of Acceptance and Reviewer comments will be given by April
10, 2010.
- Final Papers are due March May 10, 2010.
- Accepted papers are expected to appear in 2nd Quarter, 2010
(Tentative).
- The submitted papers must have at least 30% difference from the
conference original papers.
- There is a 20 page length limit (12 point single space inclusive of
figures and tables).
- Wiley has Latex
templates<http://www3.interscience.wiley.com/cgi-bin/jabout/77004395/LaTexClassFile.html>but
no special templates for Word; most papers are submitted in Word.
Either
Latex OR Word accepted.

*Selection and Evaluation Criteria*

-      Significance to the readership of the journal


-      Relevance to the special issue


-      Originality of idea, technical contribution, and significance of the
presented results


-      Quality, clarity, and readability of the written text


-      Quality of references and related work


-      Quality of research hypothesis, assertions, and conclusion




*Guest Editors*

* *

*Dr. Rajiv Ranjan – Corresponding Guest Editor*

Senior Research Associate – Services Aggregation

Service Oriented Computing Research Group

School of Computer Science and Engineering

University of New South Wales, Australia

Email: rajiv@???

* *

*Dr. Rajkumar Buyya*

CEO, Manjrasoft Pty Ltd, Melbourne, Australia

Director, Grid Computing and Distributed Systems Laboratory

Department of computer science and software engineering

The University of Melbourne, Australia

Email: raj@???



*Dr. Manish Parashar*

    Director, NSF Center for Autonomic Computing


    Professor, Department of Electrical and Computer Engineering


    Rutgers: The State University of New Jersey, USA


    Email: parashar@???


* *
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