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Results 11 - 20
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42
CLIC: CLient-Informed Caching for Storage Servers
- Proc. FAST
, 2009
"... Traditional caching policies are known to perform poorly for storage server caches. One promising approach to solving this problem is to use hints from the storage clients to manage the storage server cache. Previous hinting approaches are ad hoc, in that a predefined reaction to specific types of h ..."
Abstract
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Cited by 3 (0 self)
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-based policy for managing storage server caches. CLIC automatically interprets hints generated by storage clients and translates them into a server caching policy. It does this without explicit knowledge of the application-specific hint semantics. We demonstrate using trace-based simulation of database
Towards A Cache-Enabled, Order-Aware, Ontology-Based Stream Reasoning Framework
"... ABSTRACT While streaming data have become increasingly more popular in business and research communities, semantic models and processing software for streaming data have not kept pace. Traditional semantic solutions have not addressed transient data streams. Semantic web languages (e.g., RDF, OWL) ..."
Abstract
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arrival time to evict data. For data streams that include expiration times, a simple arrival time scheme is inadequate if the window size does not match the expiration period. In this paper, we propose a cache-enabled, order-aware, ontology-based stream reasoning framework. This framework consumes RDF
Synonymous Address Compaction for Energy Reduction in Data TLB
"... Modern processors can issue and execute multiple instructions per cycle, often performing multiple memory operations simultaneously. To reduce stalls due to resource conflicts, most processors employ multi-ported L1 caches and TLBs to enable concurrent memory accesses. In this paper, we observe that ..."
Abstract
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Cited by 2 (1 self)
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show that average energy savings of 27 % using intra-cycle, 42 % using inter-cycle in a conventional d-TLB, and 56 % using inter-cycle compaction in semantic-aware d-TLBs can be achieved. When these 2 compaction techniques are combined together and applied to both the i-TLB and semantic-aware d
L.: Context integration for mobile data tailoring
- In: Proceedings of 7th Int. Conference on Mobile Data Management (MDM’06
, 2006
"... Independent, heterogeneous, distributed, sometimes transient and mobile data sources produce an enormous amount of information that should be semantically inte-grated and filtered, or, as we say, tailored, based on the user’s interests and context. Since both the user and the data sources can be mob ..."
Abstract
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Cited by 20 (16 self)
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be mobile, and the communication might be unreliable, caching the information on the user device may become really useful. Therefore new challenges have to be faced such as: data filtering in a context-aware fash-ion, integration of not-known-in-advance data sources, au-tomatic extraction of the semantics
PARM: Power aware reconfigurable middleware
- Proceedings of IEEE International Conference on Distributed Computer Systems (ICDS-23
"... In distributed environments, generic middleware ser-vices(e.g. caching, location management etc.) are widely used to satisfy application needs in a cost-effective man-ner. Such middleware services consume system resources such as storage, computation and communication and can be sources of significa ..."
Abstract
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Cited by 21 (3 self)
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In distributed environments, generic middleware ser-vices(e.g. caching, location management etc.) are widely used to satisfy application needs in a cost-effective man-ner. Such middleware services consume system resources such as storage, computation and communication and can be sources
Incorporating semantic knowledge into dynamic data processing for smart power grids
- In International Semantic Web Conference
, 2012
"... Abstract. Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require contin-uous information monitoring and integration present novel opportunities and challenges for S ..."
Abstract
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Cited by 2 (2 self)
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for Semantic Web technologies. Semantic Web is promis-ing to model diverse Smart Grid domain knowledge for enhanced situa-tion awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic anal-ysis of sensor measurements. In this paper, we
Client-aware Cloud Storage
"... Abstract—Cloud storage is receiving high interest in both academia and industry. As a new storage model, it provides many attractive features, such as high availability, resilience, and cost efficiency. Yet, cloud storage also brings many new challenges. In particular, it widens the already-signific ..."
Abstract
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-significant semantic gap between applications, which generate data, and storage systems, which manage data. This widening semantic gap makes end-to-end dif-ferentiated services extremely difficult. In this paper, we present a client-aware cloud storage framework, which allows semantic information to flow from clients
Coeffects: Unified static analysis of context-dependence
, 2013
"... Monadic effect systems provide a unified way of tracking effects of computations, but there is no unified mechanism for tracking how computations rely on the environment in which they are executed. This is becoming an important problem for modern software – we need to track where distributed comput ..."
Abstract
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Cited by 7 (3 self)
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caching requirements for dataflow programs. Informed by these cases, we present a unified calculus for tracking context dependence in functional languages together with a categorical semantics based on indexed comonads. We believe that indexed comonads are the right foundation for constructing context-aware
Context integration for mobile data tailoring Extended Abstract
"... Abstract. This paper focuses on information representation and tailoring problems and on the definition of the global architecture of a novel system, named Context-ADDICT. It can deal with data filtering in a context-aware fashion, integration of previously unknown data sources, automatic extraction ..."
Abstract
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extraction of their semantics. The system we are designing aims at tailoring the available information to the needs of the current user in the current context, to offer a more manageable amount of information; such information is to be cached on the user’s device according to policies defined at design
EASY: Efficient SemAntic Service DiscoverY in Pervasive Computing Environments with QoS and Context Support
, 2007
"... Pervasive computing environments are populated with networked software and hardware resources providing various functionalities that are abstracted, thanks to the Service Oriented Architecture paradigm, as services. Within these environments, service discovery enabled by service discovery protocols ..."
Abstract
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(SDPs) is a critical functionality for establishing ad hoc associations between service providers and service requesters. Furthermore, the dynamics, the openness and the usercentric vision aimed at by the pervasive computing paradigm call for solutions that enable rich, semantic, context- and QoS-aware
Results 11 - 20
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42
