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Preemptive scheduling problems on parallel machines are classic problems. Given the goal of minimizing the makespan, they are polynomially solvable even for the most general model of unrelated machines. In these problems, a set of jobs is to be assigned to run on a set of m machines. A job can be split into parts arbitrarily and these parts are to be assigned to time slots on the machines without parallelism, that is, for every job, at most one of its parts can be processed at each time. Motivated by sensitivity analysis and online algorithms, we investigate the problem of designing robust algorithms for constructing preemptive schedules. Robust algorithms receive one piece of input at a time. They may change a small portion of the solution as an additional part of the input is revealed. The capacity of change is based on the size of the new piece of input. For scheduling problems, the supremum ratio between the total size of the jobs (or parts of jobs) which may be re-scheduled upon the arrival of a new job j, and the size of j, is called migration factor. We design a strongly optimal algorithm with the migration factor $1-\frac{1}{m}$ for identical machines. Strongly optimal algorithms avoid idle time and create solutions where the (non-increasingly) sorted vector of completion times of the machines is lexicographically minimal. In the case of identical machines this results not only in makespan minimization, but the created solution is also optimal with respect to any ? p norm (for p>1). We show that an algorithm of a smaller migration factor cannot be optimal with respect to makespan or any other ? p norm, thus the result is best possible in this sense as well. We further show that neither uniformly related machines nor identical machines with restricted assignment admit an optimal algorithm with a constant migration factor. This lower bound holds both for makespan minimization and for any ? p norm. Finally, we analyze the case of two machines and show that in this case it is still possible to maintain an optimal schedule with a small migration factor in the cases of two uniformly related machines and two identical machines with restricted assignment. 相似文献
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Asaf Shabtai Author Vitae Uri Kanonov Author Vitae Author Vitae 《Journal of Systems and Software》2010,83(8):1524-1537
In this paper, a new approach for detecting previously unencountered malware targeting mobile device is proposed. In the proposed approach, time-stamped security data is continuously monitored within the target mobile device (i.e., smartphones, PDAs) and then processed by the knowledge-based temporal abstraction (KBTA) methodology. Using KBTA, continuously measured data (e.g., the number of sent SMSs) and events (e.g., software installation) are integrated with a mobile device security domain knowledge-base (i.e., an ontology for abstracting meaningful patterns from raw, time-oriented security data), to create higher level, time-oriented concepts and patterns, also known as temporal abstractions. Automatically-generated temporal abstractions are then monitored to detect suspicious temporal patterns and to issue an alert. These patterns are compatible with a set of predefined classes of malware as defined by a security expert (or the owner) employing a set of time and value constraints. The goal is to identify malicious behavior that other defensive technologies (e.g., antivirus or firewall) failed to detect. Since the abstraction derivation process is complex, the KBTA method was adapted for mobile devices that are limited in resources (i.e., CPU, memory, battery). To evaluate the proposed modified KBTA method a lightweight host-based intrusion detection system (HIDS), combined with central management capabilities for Android-based mobile phones, was developed. Evaluation results demonstrated the effectiveness of the new approach in detecting malicious applications on mobile devices (detection rate above 94% in most scenarios) and the feasibility of running such a system on mobile devices (CPU consumption was 3% on average). 相似文献
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In the robotics community, there exist implicit assumptions concerning the computational capabilities of robots. Two computational classes of robots emerge as focal points of recent research: robot ants and robot elephants. Ants have poor memory and communication capabilities, but are able to communicate using pheromones, in effect, turning their work area into a shared memory. By comparison, elephants are computationally stronger, have large memory, and are equipped with strong sensing and communication capabilities. Unfortunately, not much is known about the relation between the capabilities of these models in terms of the tasks they can address. In this paper, we present formal models of both ants and elephants, and investigate if one dominates the other. We present two algorithms: AntEater, which allows elephant robots to execute ant algorithms and ElephantGun, which converts elephant algorithms-specified as Turing machines-into ant algorithms. By exploring the computational capabilities of these algorithms, we reach interesting conclusions regarding the computational power of both models. 相似文献
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Let $G=(V,E)$ be an undirected multigraph with a special vertex
${\it root} \in V$, and where each edge $e \in E$ is endowed with a
length $l(e) \geq 0$ and a capacity $c(e) > 0$. For a path $P$
that connects $u$ and $v$, the {\it transmission time} of $P$ is
defined as $t(P)=\mbox{\large$\Sigma$}_{e \in P} l(e) + \max_{e \in P}\!{(1 /
c(e))}$. For a spanning tree $T$, let $P_{u,v}^T$ be the unique $u$--$v$
path in $T$. The {\sc quickest radius spanning tree problem} is to find
a spanning tree $T$ of $G$ such that $\max _{v \in V} t(P^T_{root,v})$ is
minimized. In this paper we present a 2-approximation algorithm for
this problem, and show that unless $P =NP$, there is no approximation
algorithm with a performance guarantee of $2 - \epsilon$ for any
$\epsilon >0$. The {\sc quickest diameter spanning tree problem} is
to find a spanning tree $T$ of $G$ such that $\max_{u,v \in V}
t(P^T_{u,v})$ is minimized. We present a ${3 \over 2}$-approximation
to this problem, and prove that unless $P=NP$
there is no approximation algorithm with a performance guarantee of
${3 \over 2}-\epsilon$ for any $\epsilon >0$. 相似文献
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Degani Asaf Goldman Claudia V. Deutsch Omer Tsimhoni Omer 《Cognition, Technology & Work》2017,19(2-3):211-231
Cognition, Technology & Work - This paper presents an approach to human–machine interactions based on the concept of teamwork and the psychological theory of object relations. We envision... 相似文献
10.
While polysemy has been discussed in communication studies for decades, a fundamental question has evaded systematic analysis: Which textual features make mediated texts open to multiple interpretations? Focusing on humor, we addressed this question by using a somewhat unusual point of departure–a failed intercoder reliability test. We analyzed 130 humorous forwards, of which 55 elicited disagreement between coders regarding the target of mockery and 75 were uncontroversial. Our comparative analysis yielded six textual attributes that augment polysemy in mediated humor: narrative‐valence discrepancies, unstereotypical stereotyping, debatable personality traits, self‐deprecating humor, intertextuality, and centrifugal multimodality. We demonstrate the utility of the proposed typology by analyzing public controversies stirred by humorous communication, and discuss its applicability to the study of audiences and nonhumorous genres. 相似文献