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17
An ArchitectureBased Approach to SelfAdaptive Software
 IEEE Intelligent Systems 14(3):54  62
, 1999
"... A fleet of unmanned air vehicles undertakes a mission to disable an enemy airfield. Premission intelligence indicates that the airfield is not defended, and mission planning proceeds accordingly. While the UAVs are en route to the target, new intelligence indicates that a mobile surfacetoair miss ..."
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Cited by 199 (17 self)
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A fleet of unmanned air vehicles undertakes a mission to disable an enemy airfield. Premission intelligence indicates that the airfield is not defended, and mission planning proceeds accordingly. While the UAVs are en route to the target, new intelligence indicates that a mobile surfacetoair missile launcher now guards the airfield. The UAVs autonomously replan their mission, dividing into two groups—a SAMsuppression unit and an airfieldsuppression unit—and proceed to accomplish their objectives. During the flight, specialized algorithms for detecting and recognizing SAM launchers automatically upload and are integrated into the SAMsuppression unit’s software. In this scenario, new software components are dynamically inserted into fielded, heterogeneous systems without requiring system restart, or indeed, any downtime. Mission replanning relies on analyses that include feedback from current performance. Furthermore, such replanning can take place autonomously, can involve multiple, distributed, cooperating planners, and where major changes are demanded and require human approval or guidance, can cooperate with mission analysts. Throughout, system integrity requires the assurance of consistency, correctness, and coordination of changes. Other applications for fleets of UAVs
Incremental Clustering and Dynamic Information Retrieval
, 1997
"... Motivated by applications such as document and image classification in information retrieval, we consider the problem of clustering dynamic point sets in a metric space. We propose a model called incremental clustering which is based on a careful analysis of the requirements of the information retri ..."
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Cited by 154 (4 self)
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Motivated by applications such as document and image classification in information retrieval, we consider the problem of clustering dynamic point sets in a metric space. We propose a model called incremental clustering which is based on a careful analysis of the requirements of the information retrieval application, and which should also be useful in other applications. The goal is to efficiently maintain clusters of small diameter as new points are inserted. We analyze several natural greedy algorithms and demonstrate that they perform poorly. We propose new deterministic and randomized incremental clustering algorithms which have a provably good performance. We complement our positive results with lower bounds on the performance of incremental algorithms. Finally, we consider the dual clustering problem where the clusters are of fixed diameter, and the goal is to minimize the number of clusters. 1 Introduction We consider the following problem: as a sequence of points from a metric...
Regret in the Online Decision Problem
, 1999
"... At each point in time a decision maker must choose a decision. The payoff in a period from the decision chosen depends on the decision as well as the state of the world that obtains at that time. The difficulty is that the decision must be made in advance of any knowledge, even probabilistic, about ..."
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Cited by 112 (2 self)
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At each point in time a decision maker must choose a decision. The payoff in a period from the decision chosen depends on the decision as well as the state of the world that obtains at that time. The difficulty is that the decision must be made in advance of any knowledge, even probabilistic, about which state of the world will obtain. A range of problems from a variety of disciplines can be framed in this way. In this
Page Replacement for General Caching Problems
, 1999
"... Caching (paging) is a wellstudied problem in online algorithms, usually studied under the assumption that all pages have a uniform size and a uniform fault cost (uni form caching). However, recent applications related to the web involve situations in which pages can be of different sizes and cost ..."
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Cited by 27 (2 self)
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Caching (paging) is a wellstudied problem in online algorithms, usually studied under the assumption that all pages have a uniform size and a uniform fault cost (uni form caching). However, recent applications related to the web involve situations in which pages can be of different sizes and costs. This general caching problem seems more intricate than the uniform version. In particular, the offline case itself is NPhard. Only a few results exist for the general caching problem [8, 17]. This paper seeks to develop good offline page replacement policies for the general caching problem, with the hope that any insight gained here may lead to good online algorithms. Our first main result is that by using only a small amount of additional memory, say O(1) times the largest page size, we can obtain an O(1)approximation to the general caching problem. Note that the largest page size is typically a very small fraction of the total cache size, say 1%. Our second result is that when no add...
Parallel RealTime Optimization: Beyond Speedup
 PARALLEL PROCESSING LETTERS
, 1999
"... Traditionally, interest in parallel computation centered around the speedup provided by parallel algorithms over their sequential counterparts. In this paper, we ask a different type of question: Can parallel computers, due to their speed, do more than simply speed up the solution to a problem? ..."
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Cited by 25 (23 self)
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Traditionally, interest in parallel computation centered around the speedup provided by parallel algorithms over their sequential counterparts. In this paper, we ask a different type of question: Can parallel computers, due to their speed, do more than simply speed up the solution to a problem? We show that for realtime optimization problems, a parallel computer can obtain a solution that is better than that obtained by a sequential one. Specifically, a sequential and a parallel algorithm are exhibited for the problem of computing the bestpossible approximation to the minimumweight spanning tree of a connected, undirected and weighted graph whose vertices and edges are not all available at the outset, but instead arrive in real time. While the parallel algorithm succeeds in computing the exact minimumweight spanning tree, the sequential algorithm can only manage to obtain an approximate solution. In the worst case, the ratio of the weight of the solution obtained seque...
On broadcast disk paging
 SIAM Journal on Computing
, 1998
"... Abstract. Broadcast disks are an emerging paradigm for massive data dissemination. In a broadcast disk, data is divided into n equalsized pages, and pages are broadcast in a roundrobin fashion by a server. Broadcast disks are effective because many clients can simultaneously retrieve any transmitt ..."
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Cited by 18 (5 self)
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Abstract. Broadcast disks are an emerging paradigm for massive data dissemination. In a broadcast disk, data is divided into n equalsized pages, and pages are broadcast in a roundrobin fashion by a server. Broadcast disks are effective because many clients can simultaneously retrieve any transmitted data. Paging is used by the clients to improve performance, much as in virtual memory systems. However, paging on broadcast disks differs from virtual memory paging in at least two fundamental aspects: • A page fault in the broadcast disk model has a variable cost that depends on the requested page as well as the current state of the broadcast. • Prefetching is both natural and a provably essential mechanism for achieving significantly better competitive ratios in broadcast disk paging. In this paper, we design a deterministic algorithm that uses prefetching to achieve an O(n log k) competitive ratio for the broadcast disk paging problem, where k denotes the size of the client’s cache. We also show a matching lower bound of Ω(n log k) that applies even when the adversary is not allowed to use prefetching. In contrast, we show that when prefetching is not allowed, no deterministic online algorithm can achieve a competitive ratio better than Ω(nk). Moreover, we show a lower bound of Ω(n log k) on the competitive ratio achievable by any nonprefetching randomized algorithm against an oblivious adversary. These lower bounds are trivially matched from above by known results about deterministic and randomized marking algorithms for paging. An interpretation of our results is that in the broadcast disk paging, prefetching is a perfect substitute for randomization.
Multiagent Cooperative Search for Portfolio Selection
, 2001
"... this paper because we assume throughout that the total initial wealth of all systems of agents is $1 ..."
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Cited by 9 (1 self)
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this paper because we assume throughout that the total initial wealth of all systems of agents is $1
RealTime Computation: A Formal Definition and its Applications
, 2000
"... The concept of "realtime" has different meanings in the systems and theory communities. As a consequence, the currently available formal realtime models do not capture all the practically relevant aspects of such computations. We propose a new definition, and we believe that it allows a unfied tre ..."
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Cited by 9 (7 self)
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The concept of "realtime" has different meanings in the systems and theory communities. As a consequence, the currently available formal realtime models do not capture all the practically relevant aspects of such computations. We propose a new definition, and we believe that it allows a unfied treatment of all practically meaningful variants of realtime computations. Then, we use the developed formalism to model two important features of realtime algorithms, namely the presence of deadlines and the realtime arrival of input data. We also emphasize the expressive power of our model by using it to formalize aspects from the areas of realtime database systems and ad hoc networks. We offer formulations of the recognition problem for realtime database systems and the routing problem in ad hoc networks. Finally, we suggest a variant of our formalism that is suited for modeling parallel distributed realtime algorithms. We believe that the proposed formalism is a first step towards a unified and realistic complexity theory for realtime parallel computations.
On the Necessity of Formal Models for RealTime Parallel Computations
 3, June & September 2001
, 2000
"... We assume the multitape realtime Turing machine as a formal model for parallel realtime computation. Then, we show that, for any positive integer k, there is at least one language L k which is accepted by a ktape realtime Turing machine, but cannot be accepted by a (k1)tape realtime Turing ma ..."
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Cited by 8 (8 self)
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We assume the multitape realtime Turing machine as a formal model for parallel realtime computation. Then, we show that, for any positive integer k, there is at least one language L k which is accepted by a ktape realtime Turing machine, but cannot be accepted by a (k1)tape realtime Turing machine. It follows therefore that the languages accepted by realtime Turing machines form an infinite hierarchy with respect to the number of tapes used. Although this result was previously obtained in [1], our proof is considerably shorter, and explicitly builds the languages L k .
Efficient handoff rerouting algorithms: a competitive online algorithmic approach
 Georgia Institute of Technology, Atlanta, GA
, 2000
"... Abstract—This paper considers the design of handoff rerouting algorithms for reducing the overall session cost in personal communication systems (PCS). Most modern communication systems that are used as an infrastructure for PCS networks are based on connectionbased technologies. In these systems, ..."
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Cited by 7 (1 self)
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Abstract—This paper considers the design of handoff rerouting algorithms for reducing the overall session cost in personal communication systems (PCS). Most modern communication systems that are used as an infrastructure for PCS networks are based on connectionbased technologies. In these systems, the session cost is composed of two components. The setup cost represents the cost associated with the handoff operations, and the hold cost determines the expense related to the use of network resources held by the connection. This work introduces for the first time, rerouting algorithms for general graphs which are cost effective in terms of their worstcase analysis. The algorithms are analyzed using a competitive analysis approach, and it is proved that the competitive ratio of the proposed algorithms is a small constant of which the precise value depends on the ratio between the setup costs and the hold costs of the links. We also prove a lower bound of 2 on the competitive ratio of any online algorithm, which means that the proposed algorithms are close in terms of worst case behavior to the best possible rerouting algorithm. In addition, experimental results also show that the proposed algorithms indeed balance between the session setup cost and the hold cost, yielding overall lower cost when compared to other algorithms described in the literature. Index Terms—Competitive analysis, connection management, handoff rerouting algorithms, online algorithms, personal communication systems (PCS). I.