Modern map services and other spatial systems must support a wide range of applications. Besides computing optimal (with respect to a cost function such as travel times or time in traffic) point-to-point routes, advanced queries like “find the closest Thai restaurant to my current location” or “what is the best place to stop for groceries […]
Cloud Gaming Experience Towards Placing Virtual Machines Optimizing
This paper tackles the challenge and study an optimization problem to maximize the cloud gaming provider’s total profit while achieving just-good-enough QoE. We conduct measurement studies to derive the QoE and performance models. We formulate and optimally solve the problem. We conduct extensive measurement studies using an open-source cloud gaming platform, GamingAny-where (GA) on two […]
ARM : A Novel Account-Aided Reputation Management System For Manets
This abstract presents a hierarchical Account aided Reputation Management system (ARM) to efficiently and effectively provide cooperation incentives. ARM builds a hierarchical locality aware distributed hash table (DHT) infrastructure for efficient and integrated operation of both reputation and price systems. The infrastructure helps to globally collect all node reputation information in the system, which can […]
A Hierarchical Account-Aided Reputation Management System To Efficiently And Effectively Provide Cooperation Incentives For Manets
In a MANET, nodes communicate with each other by routing data through relay nodes in a multihop manner. Thus, reliable communication is critical to the proper operation of MANETs. Encouraging cooperation and deterring selfish behaviors are important for proper operations of mobile ad hoc networks (MANETs). For this purpose, most previous efforts rely on either […]
A Unified Framework For Dealing With Exact Point-Of-Interest Queries In Dynamic Continental Road Networks
We show that partition-based algorithms developed for point-to-point shortest path computations can be naturally extended to handle augmented queries such as finding the closest restaurant or the best post office to stop on the way home, always ranking POIs according to a user-defined cost function. Our solution allows different trade-offs between indexing effort (time and […]
A Novel Truthful Detection Of Packet Dropping Attacks In Wireless Ad Hoc Networks
In this abstract, we develop an accurate algorithm for detecting selective packet drops made by insider attackers. Our algorithm also provides a truthful and publicly verifiable decision statistics as a proof to support the detection decision. The high detection accuracy is achieved by exploiting the correlations between the positions of lost packets, as calculated from […]
SREM – A Novel Systems Scalable And Reliable Matching Service For Content-Based Publish/Subscribe
This abstract propose a distributed overlay protocol, called SkipCloud, to organize servers in the cloud computing environment. SkipCloud enables subscriptions and events to be forwarded among brokers in a scalable and reliable manner. Also it is easy to implement and maintain. To achieve scalable and reliable event matching among multiple servers, we propose a hybrid […]
A Homomorphic Linear Authenticator (HLA) Based Public Auditing Architecture For Verify The Truthfulness Of The Packet Loss Information In Wireless Ad Hoc Networks
In a multihop wireless network, nodes cooperate in relaying/routing traffic. An adversary can exploit this cooperative nature to launch attacks. In this abstract, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors […]
A Scalable And Reliable Event Matching Service For Content-Based Pub/Sub Systems In Cloud Computing Environment
In this abstract, we propose SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. To achieve low routing latency and reliable links among servers, we propose a distributed overlay SkipCloud to organize servers of SREM. Through a hybrid space partitioning technique HPartition, large-scale skewed subscriptions are mapped into […]
A Novel Approach Based On The Partially-Supervised Alignment Model For Mining Opinion Targets And Opinion Words From Online Reviews
To extract and analyze opinions from online reviews, it is unsatisfactory to merely obtain the overall sentiment about a product. In most cases, customers expect to find fine-grained sentiments about an aspect or feature of a product that is reviewed. To this end, this abstract proposes a novel approach based on the partially-supervised alignment model, […]
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