CAD: An Efficient Data Management and Migration Scheme across Clouds for Data-Intensive Scientific Applications

Hsu, Ching‐Hsien; Cuzzocrea, Alfredo; Chen, Shih-Chang

doi:10.1007/978-3-642-22947-3_11

Cited by 4 publications

(5 citation statements)

References 28 publications

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“…The scheduler needs to allocate the workload to available resources, while dynamically balancing the workload [88]. Consequently, it helps in maximum resource utilization, which results in improving the overall system performance [3,18,72,96,97]. However, the scheduler also needs to consider all QoS constraints as requested by the cloud users [40].…”

Section: Load Balancingmentioning

confidence: 98%

“…[12] x Dynamic resource provisioning techniques [64] x x x CMSA [72] x x Time-Cost trade-off workflow scheduling algorithm [57] x x x CAD [18] x CHPS [2] x SHEFT [63] x x Heuristic designing scheduling framework [65] x x…”

Section: System Functionality Challenges Form Profitability Aspectmentioning

confidence: 99%

“…Consequently, this endeavor introduces a number of problems: (i) different users compete for resources within the cloud computing environment [15][16][17]; (ii) data needs to be transferred from one resource to another [18][19][20][21][22][23]; (iii) the inter-dependency between tasks introduces high communication cost and/or time [24][25][26][27][28][29][30]; and (iv) the trade-off between QoS of user requirements and the cost of workflow execution [1,10,13,[31][32][33][34]. However, this review targets execution cost-related problems which can possibly affect both service consumers and utility providers.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

Alkhanak

Lee

Khan

2015

Future Generation Computer Systems

136

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Section: Load Balancingmentioning

confidence: 98%

Section: System Functionality Challenges Form Profitability Aspectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

Alkhanak

Lee

Khan

2015

Future Generation Computer Systems

136

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“…Finally, Yang et al describe methods for improving both performance and fault tolerance of messaging in cloud system [21], [22]. Such methods might be useful in the remote I/O system we describe.…”

Section: Related Workmentioning

confidence: 99%

A Remote I/O Solution for the Cloud

Taylor

Pasquale

2012

2012 IEEE Fifth International Conference on Cloud Computing

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Abstract-With applications increasingly moving to the cloud, it is becoming common for an application to be separated by the network from the I/O devices with which the user is interacting. Currently this requires modifying the application to receive user input from the network rather than the device. We present a new I/O architecture in which the device driver is split into two parts, with the network between them. This architecture makes the network invisible to both device and application, allowing both of them to work unmodified. Our architecture also supports transformation modules, each of which comes in a pair that operates on each side of the network. Via these module pairs, the resulting system is capable of supporting the modification of the I/O stream in a variety of ways to compensate for the network, while remaining transparent to the application.

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“…Data warehouses (Chaudhuriet al,2011)are moreandmorebecomingakeycomponentof data-intensive systems,like,forinstance,recent Cloud environments (Buyyaet al,2011),where data explosionplaysacriticalroleandwhose managementrepresentsamajorresearchchallenge (Hsu et al, 2011). Due to this evident relevance,knowledge discovery and management(e.g., (Cuzzocrea,2009))representaviable solutiontotheproblemofenhancingtheway weactuallyaccess,manageandexplorelarge amounts of multidimensional data stored in datawarehouses.Supportingadvanced query answeringandactionable knowledge extraction fromdatawarehousescanthusbereasonably intendedasoneofthemostchallengingissues fornext-generationdatawarehouseresearch.…”

Section: Introductionmentioning

confidence: 99%

An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses

Aufaure

Cuzzocrea

Favre

et al. 2013

International Journal of Data Warehousing and Mining

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In this vision paper, the authors discuss models and techniques for integrating, processing and querying data, information and knowledge within data warehouses in a user-centric manner. The user-centric emphasis allows us to achieve a number of clear advantages with respect to classical data warehouse architectures, whose most relevant ones are the following: (i) a unified and meaningful representation of multidimensional data and knowledge patterns throughout the data warehouse layers (i.e., loading, storage, metadata, etc); (ii) advanced query mechanisms and guidance that are capable of extracting targeted information and knowledge by means of innovative information retrieval and data mining techniques. Following this main framework, the authors first outline the importance of knowledge representation and management in data warehouses, where knowledge is expressed by existing ontology or patterns discovered from data. Then, the authors propose a user-centric architecture for OLAP query processing, which is the typical applicative interface to data warehouse systems. Finally, the authors propose insights towards cooperative query answering that make use of knowledge management principles and exploit the peculiarities of data warehouses (e.g., multidimensionality, multi-resolution, and so forth).

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CAD: An Efficient Data Management and Migration Scheme across Clouds for Data-Intensive Scientific Applications

Cited by 4 publications

References 28 publications

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

A Remote I/O Solution for the Cloud

An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses

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