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Consider a scenario where Alice wishes to send a message m to Bob in a time-slotted wireless network. However, there exists an adversary, Carol, who aims to prevent the transmission of m by jamming the communication channel. There is a per-slot cost of 1 to send, receive or jam m on the channel,...
Many distributed cloud-based services use multiple loosely consistent replicas of user information to avoid the high overhead of more tightly coupled synchronization. Periodically, the information must be synchronized, or reconciled. One can place this problem in the theoretical framework of set...
In this work, we study the following basic question: “How much parallelism does a distributed task permit?” Our definition of parallelism (or symmetry) here is not in terms of speed, but in terms of identical roles that processes have at the same time in the execution. For example, we may ask:...
We consider scheduling problems in the data flow model of distributed transactional memory. Objects shared by transactions move from one network node to another by following network paths. We examine how the objects’ transfer in the network affects the completion time of all transactions and the...
We consider the problem of consensus in the challenging classic model. In this model, the adversary is adaptive; it can choose which processors crash at any point during the course of the algorithm. Further, communication is via asynchronous message passing: there is no known upper bound on the...
rounds has been a well known upper bound for rumor spreading using push&pull in the random phone call model (i.e., uniform gossip in the complete graph). A matching lower bound of
$$\varOmega (\log n)$$
is also known for this special case....
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