June 9, 2019
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StreamCloud: An Elastic and Scalable Data Streaming System

Publicated to: Ieee Transactions On Parallel And Distributed Systems. 23 (12): 2351-2365 - 2012-12-01 23(12), DOI: 10.1109/TPDS.2012.24

Authors:

Gulisano, Vincenzo; Jimenez-Peris, Ricardo; Patino-Martinez, Marta; Soriente, Claudio; Valduriez, Patrick
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Affiliations

Univ Montpellier 2, INRIA, F-34095 Montpellier 5, France - Author
Univ Montpellier 2, LIRMM, F-34095 Montpellier 5, France - Author
Univ Politecn Madrid, Fac Informat, E-28660 Madrid, Spain - Author
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Abstract

Many applications in several domains such as telecommunications, network security, large-scale sensor networks, require online processing of continuous data flows. They produce very high loads that requires aggregating the processing capacity of many nodes. Current Stream Processing Engines do not scale with the input load due to single-node bottlenecks. Additionally, they are based on static configurations that lead to either under or overprovisioning. In this paper, we present StreamCloud, a scalable and elastic stream processing engine for processing large data stream volumes. StreamCloud uses a novel parallelization technique that splits queries into subqueries that are allocated to independent sets of nodes in a way that minimizes the distribution overhead. Its elastic protocols exhibit low intrusiveness, enabling effective adjustment of resources to the incoming load. Elasticity is combined with dynamic load balancing to minimize the computational resources used. The paper presents the system design, implementation, and a thorough evaluation of the scalability and elasticity of the fully implemented system.
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Keywords

Cloud computingData streamingElasticityLoad managementPeer to peer computingScalabilitySemanticsStreaming media

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ieee Transactions On Parallel And Distributed Systems due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position 64/243, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Electrical & Electronic.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 9.07. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 6.89 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-12-21, the following number of citations:

  • WoS: 198
  • Scopus: 282
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-21:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 140.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 136 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/16848/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 580
  • Downloads: 1,548
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: France.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Gulisano, Vincenzo) .

the author responsible for correspondence tasks has been Gulisano, Vincenzo.

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Awards linked to the item

This research has been partially funded by the Madrid Regional Council (CAM), FSE, and FEDER under project CLOUDS (S2009TIC-1692), the Spanish Research Agency MICINN under project CloudStorm (TIN2010-19077), and the Juan de la Cierva Fellowship of Claudio Soriente, and the European Commission under project MASSIF (FP7-257475). Ricardo Jimenez-Peris and Marta Patino-Martinez filed a patent at USPTO with number US13/112,628 related to this paper.
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