IEEE Transactions on Cloud Computing

TCC Seeks Editor-in-Chief for 2016-2017 Term

The IEEE Computer Society seeks nominations and applications for the volunteer position of Editor-in-Chief (EIC) for the IEEE Transactions on Cloud Computing serving a two-year term starting 1 January 2016.
The search committee prefers electronic submissions in Microsoft Word or PDF. Please direct all questions and submit completed applications to Kimberly Sperka, ksperka@computer.org. The due date for nominations and applications is 30 June 2015. Please click here for more details. (PDF)


From the April-June 2015 issue

FastRAQ: A Fast Approach to Range-Aggregate Queries in Big Data Environments

By Xiaochun Yun, Guangjun Wu, Guangyan Zhang, Keqin Li, and Shupeng Wang

Featured article thumbnail imageRange-aggregate queries are to apply a certain aggregate function on all tuples within given query ranges. Existing approaches to range-aggregate queries are insufficient to quickly provide accurate results in big data environments. In this paper, we propose FastRAQ—a fast approach to range-aggregate queries in big data environments. FastRAQ first divides big data into independent partitions with a balanced partitioning algorithm, and then generates a local estimation sketch for each partition. When a range-aggregate query request arrives, FastRAQ obtains the result directly by summarizing local estimates from all partitions. FastRAQ has $O(1)$ time complexity for data updates and $O(\frac{N}{P\times {B}})$ time complexity for range-aggregate queries, where $N$ is the number of distinct tuples for all dimensions, $P$ is the partition number, and $B$ is the bucket number in the histogram. We implement the FastRAQ approach on the Linux platform, and evaluate its performance with about 10 billions data records. Experimental results demonstrate that FastRAQ provides range-aggregate query results within a time period two orders of magnitude lower than that of Hive, while the relative error is less than 3 percent within the given confidence interval.

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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.


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Call for Papers

Special Issue on Mobile Clouds

Submission deadline: July 30, 2015. View PDF.

Mobile cloud computing represents one of the latest developments in cloud computing advancement. In particular, mobile cloud computing extends cloud computing services to the mobile domain by enabling mobile applications to access external computing and storage resources available in the cloud. Not only mobile applications are no longer limited by the computing and data storage limitations within mobile devices, nevertheless adequate offloading of computation intensive processes also has the potential to prolong the battery life.

Besides, there is also an incentive for mobile devices to host foreign processes. This represents a new type of mobile cloud computing services. Ad-hoc mobile cloud is one instance that mobile users sharing common interest in a particular task such as image processing of a local happening can seek collaborative effort to share processing and outcomes. Vehicular cloud computing is another instance of mobile cloud computing that exploits local sensing data and processing of vehicles to enhance Intelligent Transportation Systems.

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.

General Call for Papers

General call for papers. View PDF.


TCC is financially cosponsored by:

IEEE Computer SocietyIEEE Communications SocietyIEEE Power & Energy SocietyIEEE Consumer Electronics SocietyIEEE Systems Council

TCC is technically cosponsored by:

IEEE Signal Processing Society