In Database-as-a-Service (DBaaS), a large number of tenants share DBaaS resources (CPU, I/O and Memory). While the DBaaS provider runs DBaaS to "share" resources across the entire tenant population to maximi...
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Incomplete preferences of agents may render service selection ineffective. We address this problem by proposing a set of collaborative approaches to complementing agents' incomplete preferences in a qualitative wa...
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Incomplete preferences of agents may render service selection ineffective. We address this problem by proposing a set of collaborative approaches to complementing agents' incomplete preferences in a qualitative way. For an agent, the approaches first find its similar agents, and then base the similar agents' qualitative preferences to complement this agent's missing preferences. We analyze and compare these approaches and provide experimental results to justify our arguments. We also compare our approach with the classic collaborative filtering and show the competitive advantages of our approach in service selection. Our work thus serves as an important step towards effective service selection.
In Database-as-a-Service (DBaaS), a large number of tenants share DBaaS resources (CPU, I/O and Memory). While the DBaaS provider runs DBaaS to "share" resources across the entire tenant population to maximi...
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In Database-as-a-Service (DBaaS), a large number of tenants share DBaaS resources (CPU, I/O and Memory). While the DBaaS provider runs DBaaS to "share" resources across the entire tenant population to maximize resource utilization and minimize cost, the tenants subscribe to DBaaS at a low price point while still having resources conceptually "isolated" according to service level agreements (SLAs). To optimize this dichotomy of goals, we propose a dynamic resource allocation framework that periodically re-allocates resources to tenants to maximize resource utilization while tolerating a low risk of SLA violations. We model the resource allocation problem as a modified unbounded knapsack problem. The model introduces an additional fairness constraint to assign residual resources to active tenants, while avoiding that few tenants consume all residual resources. Performed experiments demonstrate the effectiveness and efficiency of the proposed allocation algorithm for a synthetic workload with burstiness and predicted tenant behavior.
Delay tolerant networks(DTNs) can interconnect highly heterogeneous networks among extreme environments even between nodes without end-to-end path. As a new evolution of Mobile Ad hoc network(MANET)and wireless sensor...
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Delay tolerant networks(DTNs) can interconnect highly heterogeneous networks among extreme environments even between nodes without end-to-end path. As a new evolution of Mobile Ad hoc network(MANET)and wireless sensor network(WSN), the DTN is an important technique in ubiquitous networking when the time-space range of data collection and service is greatly expanded. As the key components of DTN, routing technique is a challenge and promising research field. While a lot of DTN routing protocols have been proposed, there is no comprehensive classification system for DTN routing protocols. Review for various protocols in respect of principles, characteristics, comparisons is also needed. This paper introduces the architecture, challenges, theoretical basis, evaluation metrics and classification of DTN routing protocols. The basic principles and features of representative routing algorithms are analyzed and compared for each class, intending to motivate new research and development in this area.
Recently, in classical P2P overlay networks, with applying replication technique, a single peer is replaced by a cluster of peers in order to tolerant Byzantine failures. In this paper, a novel robust and secure schem...
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In this paper, a model for the static channel assignment in multi-radio multi-channel wireless mesh networks is proposed. We describe an interference model in wireless communication environment. The degree of detail i...
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An energy-balanced multicast routing algorithm EBMR in wireless sensor networks (WSNs) is proposed. The objective of EMBR algorithm is to improve the energy efficiency and extend the network lifetime in multicast. To ...
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To apply IPv6 to IEEE 802.15.4-based low-power wireless personal area networks, efficient packet header compression is essential to adapt to limited bandwidth, memory and energy resources of such networks. While the e...
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In this paper, operators are encapsulated by services in algorithms for large-scale optimization problems and the services are deployed in distributed systems. Response time is an important factor for the performance ...
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