@article {12301,
	title = {Deno: a decentralized, peer-to-peer object-replication system for weakly connected environments},
	journal = {Computers, IEEE Transactions on},
	volume = {52},
	year = {2003},
	month = {2003/07//},
	pages = {943 - 959},
	abstract = {This paper presents the design, implementation, and evaluation of the replication framework of Deno, a decentralized, peer-to-peer object-replication system targeted for weakly connected environments. Deno uses weighted voting for availability and pair-wise, epidemic information flow for flexibility. This combination allows the protocols to operate with less than full connectivity, to easily adapt to changes in group membership, and to make few assumptions about the underlying network topology. We present two versions of Deno{\textquoteright}s protocol that differ in the consistency levels they support. We also propose security extensions to handle a class of malicious actions that involve misrepresentation of protocol information. Deno has been implemented and runs on top of Linux and Win32 platforms. We use the Deno prototype to characterize the performance of the Deno protocols and extensions. Our study reveals several interesting results that provide fundamental insight into the benefits of decentralization and the mechanics of epidemic protocols.},
	keywords = {actions;, connected, consistency, data, data;, databases;, decentralized, Deno;, distributed, environments;, epidemic, group, levels;, Linux;, malicious, management;, membership;, network, object, object-replication, of, operating, peer-to-peer, protocols;, replicated, replication;, Security, security;, synchronisation;, system;, systems;, topology;, Unix;, voting;, weakly, weighted, Win32;},
	isbn = {0018-9340},
	doi = {10.1109/TC.2003.1214342},
	author = {Cetintemel,U. and Keleher,P. J and Bhattacharjee, Bobby and Franklin,M.J.}
}
@article {13007,
	title = {Necessity is the mother of invention: a simple grid computing system using commodity tools},
	journal = {J Parallel Distr Com},
	volume = {63},
	year = {2003},
	month = {2003/05//},
	pages = {578 - 589},
	abstract = {Access to sufficient resources is a barrier to scientific progress for many researchers facing large computational problems. Gaining access to large-scale resources (i.e., university-wide or federally supported computer centers) can be difficult, given their limited availability, particular architectures, and request/review/approval cycles. Simultaneously, researchers often find themselves with access to workstations and older clusters overlooked by their owners in favor of newer hardware. Software to tie these resources into a coherent Grid, however, has been problematic. Here, we describe our experiences building a Grid computing system to conduct a large-scale simulation study using "borrowed" computing resources distributed over a wide area. Using standard software components, we have produced a Grid computing system capable of coupling several hundred processors spanning multiple continents and administrative domains. We believe that this system fills an important niche between a closely coupled local system and a heavyweight, highly customized wide area system. (C) 2003 Elsevier Science (USA). All rights reserved.},
	keywords = {Apache;, computing;, distributed, Grid, HTTP;, Java;, Linux;, Perl;, SQL;, Unix;, XML-RPC},
	doi = {DOI 10.1016/S0743-7315(03)00004-2},
	author = {Myers,D. S and Cummings, Michael P.}
}
