Aggregation functions are used in distributed environments to make system-wide information locally available in the nodes of a network. The computation of different aggregation functions, e.g., SUMMATION, AVERAGE, MAXIMUM etc., in large-scale distributed systems is challenging and crucial for a wide range of applications. This is especially the case when the input values of these functions dynamically change during system runtime. Related approaches of decentralized aggregation are function-dependent, interaction-dependent, assume static values or cannot always tolerate duplicates and continuously changing information
Data aggregation plays a basal role in the design of scalable distributed applications, allowing the...
The emergence of the Internet as a computing platform increases the demand for new classes of algori...
Distributed computing in large-size dynamic networks oftenrequires the availability at each and ever...
As computer networks increase in size, become more heterogeneous and span greater geographic dista...
Aggregation functions, which compute global parameters, such as the sum, minimum or average of local...
Distributed data aggregation is an important task, allowing the de-centralized determination of mean...
Data aggregation, in its most basic definition, is the ability to summarize information. Data aggreg...
Aggregation refers to a set of functions that provide global information about a distributed system....
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
We consider the problem of dynamic aggregation of inputs over a large graph. A dynamic aggregation a...
Distributed aggregation allows the derivation of a given global aggre-gate property from many indivi...
Aggregation is an important building block of modern distributed applications, allowing the determin...
Aggregation—that is, the computation of global properties like average or maximal load, or the numbe...
Distributed data aggregation is an important task, allowing the decentralized determination of meani...
This paper discusses fault-tolerant, scalable solutions to the problem of accurately and scalably ca...
Data aggregation plays a basal role in the design of scalable distributed applications, allowing the...
The emergence of the Internet as a computing platform increases the demand for new classes of algori...
Distributed computing in large-size dynamic networks oftenrequires the availability at each and ever...
As computer networks increase in size, become more heterogeneous and span greater geographic dista...
Aggregation functions, which compute global parameters, such as the sum, minimum or average of local...
Distributed data aggregation is an important task, allowing the de-centralized determination of mean...
Data aggregation, in its most basic definition, is the ability to summarize information. Data aggreg...
Aggregation refers to a set of functions that provide global information about a distributed system....
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
We consider the problem of dynamic aggregation of inputs over a large graph. A dynamic aggregation a...
Distributed aggregation allows the derivation of a given global aggre-gate property from many indivi...
Aggregation is an important building block of modern distributed applications, allowing the determin...
Aggregation—that is, the computation of global properties like average or maximal load, or the numbe...
Distributed data aggregation is an important task, allowing the decentralized determination of meani...
This paper discusses fault-tolerant, scalable solutions to the problem of accurately and scalably ca...
Data aggregation plays a basal role in the design of scalable distributed applications, allowing the...
The emergence of the Internet as a computing platform increases the demand for new classes of algori...
Distributed computing in large-size dynamic networks oftenrequires the availability at each and ever...