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Provisioning
"... Heterogeneous wireless sensor networks represent a challenging programming environment. Servilla addresses this by offering a new middleware framework that provides service provisioning. Using Servilla, developers can construct platform-independent applications over a dynamic set of devices with div ..."
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Heterogeneous wireless sensor networks represent a challenging programming environment. Servilla addresses this by offering a new middleware framework that provides service provisioning. Using Servilla, developers can construct platform-independent applications over a dynamic set of devices
An Architecture for Privacy-aware Inter-domain Identity Management
- in Proceedings of the 16th IFIP/IEEE Distributed Systems: Operations and Management (DSOM 2005
, 2005
"... Abstract. The management of service oriented architectures demands an efficient control of service users and their authorizations. Similar to structured cabling in LANs, Identity & Access Management systems have proven to be important components of organizations ’ IT infrastructures. Yet, due to ..."
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Cited by 5 (1 self)
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to new management challenges such as virtual organizations, on-demand computing and the integration of third party services through composition, identity information has to be passed to external service providers; this decentralization inherently leads to interoperability and privacy issues, which
Synergy: sharing-aware component composition for distributed stream processing systems
- In: Middleware ’06: Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware. Springer-Verlag
, 2006
"... Abstract. Many emerging on-line data analysis applications require applying continuous query operations such as correlation, aggregation, and filtering to data streams in real-time. Distributed stream processing systems allow in-network stream processing to achieve better scalability and quality-of ..."
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Cited by 29 (13 self)
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-of-service (QoS) provision. In this paper we present Synergy, a distributed stream processing middleware that provides sharing-aware component composition. Synergy enables efficient reuse of both data streams and processing components, while composing distributed stream processing applications with QoS demands
Privacy-Preserving Public Auditing In Cloud Storage Security
"... computing utility, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or cloud provider interaction. Cloud computing technologies can be implemented in a wide variety of architectures, under differ ..."
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Cited by 4 (0 self)
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computing utility, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or cloud provider interaction. Cloud computing technologies can be implemented in a wide variety of architectures, under
Privacy Preservation Enriched MapReduce for Hadoop Based BigData Applications
"... I. INTRODUCTION In present day scenario, cloud has become an inevitable need for majority of Information Technology (IT) operational organizations. In general, the word cloud states for certain divergent IT infrastructure and environment which is specially developed for accomplishing the provision ..."
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applications. Hence, it can be stated that this cloud computing system facilitates users to have a very expedient and on-demand resource access. Cloud applications such as data storage, data retrieval and data portability have become some significant needs for IT organizations dealing with cloud computing
Dynamic Control of Data Streaming and Processing in a Virtualized Environment
, 2011
"... Performance of data streaming applications is co-determined by both networking and computing resources, and therefore they should be co-scheduled and co-allocated in an integrated and coordinated way. Dynamic control of resource scheduling and allocation is required, because unilateral redundancy i ..."
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Cited by 6 (2 self)
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controllers are designed to allocate CPU resources; iterative bandwidth allocation is applied and is processing- and storage-aware to guarantee on-demand data provisioning. Experimental results show that our approach leads to higher application performance as well as higher resource utilization, compared
Reactive provisioning of backend databases in shared dynamic content server clusters
- ACM Trans. Auton. Adapt. Syst
, 2006
"... This paper introduces a self-configuring architecture for on-demand resource allocation to applications in a shared database cluster. We use a unified approach to load and fault management based on data replication and reactive replica provisioning. While data replication provides scaling and high a ..."
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Cited by 2 (0 self)
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This paper introduces a self-configuring architecture for on-demand resource allocation to applications in a shared database cluster. We use a unified approach to load and fault management based on data replication and reactive replica provisioning. While data replication provides scaling and high
A Review on User Privacy Preserving and Auditing for Secure Data Storage System in Cloud
"... Cloud Storage permits users to remotely store their data and also provides users with on-demand self service from a shared pool of configurable and computable resources and that can be rapidly provisioned and realized with minimal management efforts or service provider interaction [2]. Despite of it ..."
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Cloud Storage permits users to remotely store their data and also provides users with on-demand self service from a shared pool of configurable and computable resources and that can be rapidly provisioned and realized with minimal management efforts or service provider interaction [2]. Despite
QoS-Aware Shared Component Composition for Distributed Stream Processing Systems
, 2008
"... Many emerging on-line data analysis applications require applying continuous query operations such as correlation, aggregation, and filtering to data streams in real-time. Distributed stream processing systems allow in-network stream processing to achieve better scalability and quality-of-service ( ..."
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Many emerging on-line data analysis applications require applying continuous query operations such as correlation, aggregation, and filtering to data streams in real-time. Distributed stream processing systems allow in-network stream processing to achieve better scalability and quality
Dynamic Controlling of Data Streaming Applications for Cloud Computing
"... Performance of data streaming applications is codetermined by both networking and computing resources, which should be allocated in an integrated and cooperative way. Dynamic controlling of resource allocation is required since unilateral redundancy in networking or computing resources may result in ..."
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is applied which is processing- and storage-aware to guarantee on-demand data provision. Experimental results show that our approach leads to high performance of applications as well as high utilization of resources, which is also justified by comparison with other resource allocation methods. 1.
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