IEEE Transactions on Cloud Computing
From the July-September 2015 issue
CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability
By Quanlu Zhang, Shenglong Li, Zhenhua Li, Yuanjian Xing, Zhi Yang, and Yafei Dai
Nowadays, more and more enterprises and organizations are hosting their data into the cloud, in order to reduce the IT maintenance cost and enhance the data reliability. However, facing the numerous cloud vendors as well as their heterogenous pricing policies, customers may well be perplexed with which cloud(s) are suitable for storing their data and what hosting strategy is cheaper.The general status quo is that customers usually put their data into a single cloud (which is subject to the vendor lock-in risk) and then simply trust to luck. Based on comprehensive analysis of various state-of-the-art cloud vendors, this paper proposes a novel data hosting scheme (named CHARM) which integrates two key functions desired. The first is selecting several suitable clouds and an appropriate redundancy strategy to store data with minimized monetary cost and guaranteed availability. The second is triggering a transition process to re-distribute data according to the variations of data access pattern and pricing of clouds. We evaluate the performance of CHARM using both trace-driven simulations and prototype experiments. The results show that compared with the major existing schemes, CHARM not only saves around 20 percent of monetary cost but also exhibits sound adaptability to data and price adjustments.
NOTE: We seek submission of papers that present new, original and innovative ideas for the "first" time in TCC (Transactions on Cloud Computing). That means, submission of "extended versions" of already published works (e.g., conference/workshop papers) is not encouraged unless they contain significant number of "new and original" ideas/contributions along with more than 65% brand "new" material. If you are submitting an extended version, you SHOULD submit a cover letter/document detailing (1) the "Summary of Differences" between TCC paper and earlier paper, (2) a clear listing of "new and original" ideas/contributions in TCC paper (identifying sections where they are proposed/presented), and (3) confirming the percentage of new material. Otherwise, submission will be "desk" rejected without any reviews.
Editorials and Announcements
- Introduction to the IEEE Transactions on Cloud Computing by Rajkumar Buyya (PDF)
- Welcome Message by Jon Rokne (PDF)
- Special Issue on Economics and Market Mechanisms for Cloud Computing (July-Sept 2015)
- Cloud Security (Oct-Dec 2014)
Call for Papers
Special Issue on Advances of Multimedia Big Data on the Cloud
Submission deadline: January 31, 2016. View PDF.
Today’s multimedia big data is becoming a part of daily life in our society, industry and academia to access different multimedia systems, services and applications in terms of internet search, social media stream, internet-of-things-based streams, video stream in surveillance, medical image or video stream, mobile phone photos or video stream, business transactions, to name a few. However, due to the challenge of managing Exabyte of such multimedia big data in terms of computations, communications, storage, and sharing, there is a growing demand of an infrastructure to have on-demand access to a shared pool of configurable computing resources (e.g., networks, storages, processing, applications and services) to collect, store, preserve, manage, analyze, and share huge quantities of multimedia data. Cloud computing is such an infrastructure providing scalability, flexibility, agility, and ubiquity in terms of massive scale multimedia data processing, storage, access and communications.
The potential of this emergent research on multimedia big data is huge because of the major challenges in dealing with uncertainty, unpredictability (e.g., data volume, velocity and heterogeneity or variety) and massiveness with regards to real-time cross-media integration, multi-scale analysis and processing, where media is originated from multiple heterogeneous media sources with a variety of modality as well as context. Moreover, provisioning of Cloud resources for multimedia big data applications further enhances many technical challenges with regards to capturing, storage, searching, correlating, transferring, sharing, analysis, and visualization of multimedia.
Special Issue on Advances of Utility and Cloud Computing Technologies and Services
Submission deadline: January 31, 2016. View PDF.
Computing is rapidly moving towards a model where it is provided as services that are delivered in a manner similar to traditional utilities such as water, electricity, gas, and telephony. In such a model, users access services according to their requirements, without regard to where the services are hosted or how they are delivered. Several computing architectures have evolved to realize this utility computing vision, including Grid computing, Service-Oriented Architecture (SOA) and Cloud computing, which has recently shifted into the center of attention in the ICT industry. Increasing numbers of IT vendors are promising to offer applications, storage and computation hosting services with conforming Service-Level Agreements (SLA) to ensure Quality of Services (QoS) and performance. Considering many of these services are hosted in traditional data centers, there is significant complexity involved in ensuring the scalability, availability, manageability and accessibility of applications, services and data, as the scale of the systems as well as the users grows. As a result, it is becoming important to investigate the use of cloud computing techniques and its interoperability with utility computing. This special issue focuses on principles, paradigms and applications of "Utility computing" and its practical realization especially in the context of Cloud Computing.
General Call for Papers
General call for papers. View PDF.
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